<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>0123-921X</journal-id>
<journal-title><![CDATA[Tecnura]]></journal-title>
<abbrev-journal-title><![CDATA[Tecnura]]></abbrev-journal-title>
<issn>0123-921X</issn>
<publisher>
<publisher-name><![CDATA[Universidad Distrital Francisco José de Caldas]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0123-921X2020000400062</article-id>
<article-id pub-id-type="doi">10.14483/22487638.16904</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Fusion of Hyperspectral and Multispectral Images Based on a Non-locally Centralized Sparse Model of Abundance Maps]]></article-title>
<article-title xml:lang="es"><![CDATA[Fusión de imágenes hiperespectrales y multiespectrales basado en un modelo de escacez no local centralizado de mapas de abundancias]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Arias]]></surname>
<given-names><![CDATA[Kevin]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Vargas]]></surname>
<given-names><![CDATA[Edwin]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Rojas]]></surname>
<given-names><![CDATA[Fernando]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Arguello]]></surname>
<given-names><![CDATA[Henry]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Industrial de Santander  ]]></institution>
<addr-line><![CDATA[Bucaramanga ]]></addr-line>
<country>Colombia</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad Industrial de Santander  ]]></institution>
<addr-line><![CDATA[Bucaramanga ]]></addr-line>
<country>Colombia</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Universidad Industrial de Santander  ]]></institution>
<addr-line><![CDATA[Bucaramanga ]]></addr-line>
<country>Colombia</country>
</aff>
<aff id="Af4">
<institution><![CDATA[,Universidad Industrial de Santander  ]]></institution>
<addr-line><![CDATA[Bucaramanga ]]></addr-line>
<country>Colombia</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2020</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2020</year>
</pub-date>
<volume>24</volume>
<numero>66</numero>
<fpage>62</fpage>
<lpage>75</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_arttext&amp;pid=S0123-921X2020000400062&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_abstract&amp;pid=S0123-921X2020000400062&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_pdf&amp;pid=S0123-921X2020000400062&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract  Context: Systems that acquire hyperspectral (HS) images have opened a wide field of applications in different areas, such as remote sensing and computer vision applications. However, hardware restrictions may limit the performance of such applications because of the low spatial resolution of obtained hyperspectral images. In the state-of-the-art, the fusion of a HS image with low spatial resolution panchromatic (PAN) or multispectral (MS) images with high spatial resolution has been efficiently employed to computationally improve the resolution of the HS source. The problem of fusing images is traditionally described as an ill-posed inverse problem whose solution is obtained assuming that the high spatial resolution HS (HR-HS) image is sparse in an analytic or learned dictionary.  Method: This paper proposes a non-locally centralized sparse representation model on a set of learned dictionaries to spatially regularize the fusion problem. Besides, we consider the linear mixing model that decomposes the measured spectrum into a collection of constituent spectra (endmembers) and a set of corresponding fractions (abundance) maps to take advantage of the intrinsic properties and low dimensionality of HS images. The spatial-spectral dictionaries are learned from the estimated abundance maps exploiting the spectral correlation between abundance maps and the non-local self-similarity in the spatial domain. Then, an alternating iterative algorithm is employed to solve the fusion problem conditionally on the learned dictionaries.  Results: After using real data, the results show that the proposed method outperforms the state-of-the-art methods under various quantitative metrics: RMSE, UIQI, SAM, ERGAS, PSNR, and DD.  Conclusions: This paper proposes a novel fusion model that includes a non-local Sparse representation of abundance maps by using spectral unmixing. The proposed model obtains better fused images than traditional fusion approaches based on sparcity.  Financing: Project Vicerrectoría de Investigación y Extensión of Universidad Industrial de Santader (code VIE 2521).]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen  Contexto: Los sistemas de adquisición de imágenes hiperespectrales (HS) son comúnmente usados en un rango diverso de aplicaciones que involucran tareas de detección y clasificación. Sin embargo, la baja resolución de imágenes hiperespectrales podría limitar el rendimiento de las tareas relacionadas con dichas aplicaciones. En los últimos años, fusionar la información de una imagen HS con imágenes multiespectrales (MS) o pancromáticas (PAN) de alta resolución espacial ha sido ampliamente usado para mejorar la resolución espacial de la imagen HS. La fusión de imágenes ha sido formulada como un problema inverso cuya solución es una imagen HS de alta resolución espacial, la cual se asume escasa en un diccionario analítico o aprendido. Por otra parte, el desmezclado espectral es un procedimiento en donde el espectro medido de un píxel mezclado es descompuesto en una colección de firmas espectrales que hacen referencia a las firmas puras de la imagen y mapas de abundancia que indican la porción de cada firma pura presente en un píxel especifico.  Método: Este trabajo propone un modelo de representación escasa, centralizado y no local sobre un conjunto de diccionarios aprendidos para regularizar el problema de fusión convencional. Los diccionarios son aprendidos a partir de los mapas de abundancia estimados para explotar la correlación entre mapas de abundancia y la auto-similitud no local sobre el dominio espacial. Luego, condicionalmente sobre los diccionarios aprendidos, el problema de fusión es solucionado por un algoritmo numérico iterativo y alternante.  Resultados: Después de usar datos reales, los resultados muestran que el método propuesto supera los métodos del estado del arte bajo diferentes métricas cuantitativas.  Conclusiones: Este modelo permite incluir la redundancia no local en el problema de fusión de imágenes hiperespectral y multiespectral sobre los mapas de abundancia usando desmezclado espectral, mejorando los resultados de los métodos de fusión basados en el modelo de escasez tradicional.  Financiamiento: Proyecto Vicerrectoría de Investigación y Extensión of Universidad Industrial de Santander (Código VIE 2521).]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[Image fusion]]></kwd>
<kwd lng="en"><![CDATA[dictionary learning]]></kwd>
<kwd lng="en"><![CDATA[non-local sparse representation]]></kwd>
<kwd lng="en"><![CDATA[spectral unmixing]]></kwd>
<kwd lng="en"><![CDATA[abundance maps]]></kwd>
<kwd lng="es"><![CDATA[Fusión de imágenes]]></kwd>
<kwd lng="es"><![CDATA[aprendizaje de diccionarios]]></kwd>
<kwd lng="es"><![CDATA[representación escasa no-local]]></kwd>
<kwd lng="es"><![CDATA[desmezclado espectral]]></kwd>
<kwd lng="es"><![CDATA[mapas de abundancias]]></kwd>
</kwd-group>
</article-meta>
</front><back>
<ref-list>
<ref id="B1">
<nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Arias]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Vargas]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
<name>
<surname><![CDATA[Arguello]]></surname>
<given-names><![CDATA[H]]></given-names>
</name>
</person-group>
<source><![CDATA[Hyperspectral and Multispectral Image Fusion based on a Non-locally Centralized Sparse Model and Adaptive Spatial-Spectral Dictionaries]]></source>
<year>2019</year>
<month>,</month>
<conf-name><![CDATA[ 27European Signal Processing Conference (EU-SIPCO)]]></conf-name>
<conf-date>2019</conf-date>
<conf-loc> </conf-loc>
<page-range>1-5</page-range><publisher-name><![CDATA[IEEE]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B2">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Beck]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Teboulle]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A fast-iterative shrinkage-thresholding algorithm for linear inverse problems]]></article-title>
<source><![CDATA[SIAM journal on imaging sciences]]></source>
<year>2009</year>
<volume>2</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>183-202</page-range></nlm-citation>
</ref>
<ref id="B3">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Bioucas-Dias]]></surname>
<given-names><![CDATA[J. M.]]></given-names>
</name>
<name>
<surname><![CDATA[Plaza]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Camps-Valls]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Scheunders]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Nasrabadi]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
<name>
<surname><![CDATA[Chanussot]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Hyperspectral remote sensing data analysis and future challenges]]></article-title>
<source><![CDATA[IEEE Geoscience and remote sensing magazine]]></source>
<year>2013</year>
<volume>1</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>6-36</page-range></nlm-citation>
</ref>
<ref id="B4">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Bruckstein]]></surname>
<given-names><![CDATA[A. M.]]></given-names>
</name>
<name>
<surname><![CDATA[Donoho]]></surname>
<given-names><![CDATA[D. L.]]></given-names>
</name>
<name>
<surname><![CDATA[Elad]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[From sparse solutions of systems of equations to sparse modeling of signals and images]]></article-title>
<source><![CDATA[SIAM review]]></source>
<year>2009</year>
<volume>51</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>34-81</page-range></nlm-citation>
</ref>
<ref id="B5">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Chakrabarti]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Zickler]]></surname>
<given-names><![CDATA[T]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Statistics of real-world hyperspectral images]]></article-title>
<source><![CDATA[CVPR]]></source>
<year>2011</year>
<month>,</month>
<page-range>193-200</page-range><publisher-name><![CDATA[IEEE]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B6">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Chan]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Esedoglu]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Park]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<name>
<surname><![CDATA[Yip]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Recent developments in total variation image restoration]]></article-title>
<source><![CDATA[Mathematical Models of Computer Vision]]></source>
<year>2005</year>
<volume>17</volume>
<numero>2</numero>
<issue>2</issue>
</nlm-citation>
</ref>
<ref id="B7">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Chen]]></surname>
<given-names><![CDATA[S. S.]]></given-names>
</name>
<name>
<surname><![CDATA[Donoho]]></surname>
<given-names><![CDATA[D. L.]]></given-names>
</name>
<name>
<surname><![CDATA[Saunders]]></surname>
<given-names><![CDATA[M. A]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Atomic decomposition by basis pursuit]]></article-title>
<source><![CDATA[SIAM review]]></source>
<year>2001</year>
<volume>43</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>129-59</page-range></nlm-citation>
</ref>
<ref id="B8">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Daubechies]]></surname>
<given-names><![CDATA[I.]]></given-names>
</name>
<name>
<surname><![CDATA[Defrise]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[De Mol]]></surname>
<given-names><![CDATA[C]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[An iterative thresholding algorithm for linear inverse problems with a sparsity constraint]]></article-title>
<source><![CDATA[Communications on Pure and Applied Mathematics: A Journal Issued by the Courant Institute of Mathematical Sciences]]></source>
<year>2004</year>
<volume>57</volume>
<numero>11</numero>
<issue>11</issue>
<page-range>1413-57</page-range></nlm-citation>
</ref>
<ref id="B9">
<nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Dian]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Fang]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Li]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
</person-group>
<source><![CDATA[Hyperspectral image super-resolution via non-local sparse tensor factorization]]></source>
<year>2017</year>
<conf-name><![CDATA[ Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition]]></conf-name>
<conf-loc> </conf-loc>
<page-range>5344-53</page-range></nlm-citation>
</ref>
<ref id="B10">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Dong]]></surname>
<given-names><![CDATA[W.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhang]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Shi]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Wu]]></surname>
<given-names><![CDATA[X]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Image deblurring and super-resolution by adaptive sparse domain selection and adaptive regularization]]></article-title>
<source><![CDATA[IEEE Trans. on image process]]></source>
<year>2011</year>
<volume>20</volume>
<numero>7</numero>
<issue>7</issue>
<page-range>1838-57</page-range></nlm-citation>
</ref>
<ref id="B11">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Dong]]></surname>
<given-names><![CDATA[W.]]></given-names>
</name>
<name>
<surname><![CDATA[Li]]></surname>
<given-names><![CDATA[X.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhang]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Shi]]></surname>
<given-names><![CDATA[G]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Sparsity-based image denoising via dictionary learning and structural clustering]]></article-title>
<source><![CDATA[CVPR]]></source>
<year>2011</year>
<month>,</month>
<page-range>457-64</page-range><publisher-name><![CDATA[IEEE]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B12">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Dong]]></surname>
<given-names><![CDATA[W.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhang]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Shi]]></surname>
<given-names><![CDATA[G]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Centralized sparse representation for image restoration]]></article-title>
<source><![CDATA[IEEE ICCV]]></source>
<year>2011</year>
<month>,</month>
<page-range>1259-66</page-range></nlm-citation>
</ref>
<ref id="B13">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Dong]]></surname>
<given-names><![CDATA[W.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhang]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Shi]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Li]]></surname>
<given-names><![CDATA[X]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Non- locally centralized sparse representation for image restoration]]></article-title>
<source><![CDATA[IEEE transactions on Image Processing]]></source>
<year>2012</year>
<volume>22</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>1620-30</page-range></nlm-citation>
</ref>
<ref id="B14">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Elad]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Aharon]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Image denoising via sparse and redundant representations over learned dictionaries]]></article-title>
<source><![CDATA[IEEE Transactions on Image processing]]></source>
<year>2006</year>
<volume>15</volume>
<numero>12</numero>
<issue>12</issue>
<page-range>3736-45</page-range></nlm-citation>
</ref>
<ref id="B15">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Cardon]]></surname>
<given-names><![CDATA[H. D. V.]]></given-names>
</name>
<name>
<surname><![CDATA[Álvarez]]></surname>
<given-names><![CDATA[M. A.]]></given-names>
</name>
<name>
<surname><![CDATA[Gutiérrez]]></surname>
<given-names><![CDATA[Á. O]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Representación óptima de señales MER aplicada a la identificación de estructuras cerebrales durante la estimulación cerebral profunda]]></article-title>
<source><![CDATA[Tecnura]]></source>
<year>2015</year>
<volume>19</volume>
<numero>45</numero>
<issue>45</issue>
<page-range>15-27</page-range></nlm-citation>
</ref>
<ref id="B16">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Medina Rojas]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<name>
<surname><![CDATA[Arguello Fuentes]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Gómez Santamaría]]></surname>
<given-names><![CDATA[C]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A quantitative and qualitative performance analysis of compressive spectral imagers]]></article-title>
<source><![CDATA[Tecnura]]></source>
<year>2017</year>
<volume>21</volume>
<numero>52</numero>
<issue>52</issue>
<page-range>53-67</page-range></nlm-citation>
</ref>
<ref id="B17">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Velasco]]></surname>
<given-names><![CDATA[A. C.]]></given-names>
</name>
<name>
<surname><![CDATA[García]]></surname>
<given-names><![CDATA[C. A. V.]]></given-names>
</name>
<name>
<surname><![CDATA[Fuentes]]></surname>
<given-names><![CDATA[H. A]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Un estudio comparativo de algoritmos de detección de objetivos en imágenes hiperespectrales aplicados a cultivos agrícolas en Colombia]]></article-title>
<source><![CDATA[Revista Tecnura]]></source>
<year>2016</year>
<volume>20</volume>
<numero>49</numero>
<issue>49</issue>
<page-range>86-100</page-range></nlm-citation>
</ref>
<ref id="B18">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Fu]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Lam]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Sato]]></surname>
<given-names><![CDATA[I.]]></given-names>
</name>
<name>
<surname><![CDATA[Sato]]></surname>
<given-names><![CDATA[Y]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Adaptive spatial-spectral dictionary learning for hyperspectral image restoration]]></article-title>
<source><![CDATA[International Journal of Computer Vision]]></source>
<year>2017</year>
<volume>122</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>228-45</page-range></nlm-citation>
</ref>
<ref id="B19">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ghasrodashti]]></surname>
<given-names><![CDATA[E. K.]]></given-names>
</name>
<name>
<surname><![CDATA[Karami]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Heylen]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Scheunders]]></surname>
<given-names><![CDATA[P]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Spatial resolution enhancement of hyperspectral images using spectral unmixing and bayesian sparse representation]]></article-title>
<source><![CDATA[Remote Sensing]]></source>
<year>2017</year>
<volume>9</volume>
<numero>6</numero>
<issue>6</issue>
<page-range>541</page-range></nlm-citation>
</ref>
<ref id="B20">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Hege]]></surname>
<given-names><![CDATA[E. K.]]></given-names>
</name>
<name>
<surname><![CDATA[O'Connell]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Johnson]]></surname>
<given-names><![CDATA[W.]]></given-names>
</name>
<name>
<surname><![CDATA[Basty]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Dereniak]]></surname>
<given-names><![CDATA[E. L]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Hyperspectral imaging for astronomy and space surveillance]]></article-title>
<source><![CDATA[Imaging Spectrometry IX]]></source>
<year>2004</year>
<month>,</month>
<volume>51-59</volume>
<page-range>380-91</page-range><publisher-name><![CDATA[International Society for Optics and Photonics]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B21">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Lu]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Fei]]></surname>
<given-names><![CDATA[B]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Medical hyperspectral imaging: a review]]></article-title>
<source><![CDATA[Journal of biomedical optics]]></source>
<year>2014</year>
<volume>19</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>010901</page-range></nlm-citation>
</ref>
<ref id="B22">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Loncan]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[De Almeida]]></surname>
<given-names><![CDATA[L. B.]]></given-names>
</name>
<name>
<surname><![CDATA[Bioucas-Dias]]></surname>
<given-names><![CDATA[J. M.]]></given-names>
</name>
<name>
<surname><![CDATA[Briottet]]></surname>
<given-names><![CDATA[X.]]></given-names>
</name>
<name>
<surname><![CDATA[Chanussot]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Dobigeon]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Hyperspectral pansharpening: A review]]></article-title>
<person-group person-group-type="editor">
<name>
<surname><![CDATA[Tourneret]]></surname>
<given-names><![CDATA[J. Y]]></given-names>
</name>
</person-group>
<source><![CDATA[IEEE Geoscience and remote sensing magazine]]></source>
<year>2015</year>
<volume>3</volume>
<numero>3</numero>
<issue>3</issue>
<page-range>27-46</page-range></nlm-citation>
</ref>
<ref id="B23">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Mallat]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
</person-group>
<source><![CDATA[A wavelet tour of signal processing]]></source>
<year>1999</year>
<publisher-name><![CDATA[Elsevier]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B24">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Mairal]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Bach]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<name>
<surname><![CDATA[Ponce]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Sapiro]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Zisserman]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
</person-group>
<source><![CDATA[Non-local sparse models for image restoration]]></source>
<year>2009</year>
<month>,</month>
<page-range>2272-9</page-range></nlm-citation>
</ref>
<ref id="B25">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Middleton]]></surname>
<given-names><![CDATA[E. M.]]></given-names>
</name>
<name>
<surname><![CDATA[Ungar]]></surname>
<given-names><![CDATA[S. G.]]></given-names>
</name>
<name>
<surname><![CDATA[Mandl]]></surname>
<given-names><![CDATA[D. J.]]></given-names>
</name>
<name>
<surname><![CDATA[Ong]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Frye]]></surname>
<given-names><![CDATA[S. W.]]></given-names>
</name>
<name>
<surname><![CDATA[Campbell]]></surname>
<given-names><![CDATA[P. E.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[The earth observing one (EO-1) satellite mission: Over a decade in space]]></article-title>
<person-group person-group-type="editor">
<name>
<surname><![CDATA[Pollack]]></surname>
<given-names><![CDATA[N. H]]></given-names>
</name>
</person-group>
<source><![CDATA[IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing]]></source>
<year>2013</year>
<volume>6</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>243-56</page-range></nlm-citation>
</ref>
<ref id="B26">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Oliveira]]></surname>
<given-names><![CDATA[J. P.]]></given-names>
</name>
<name>
<surname><![CDATA[Bioucas-Dias]]></surname>
<given-names><![CDATA[J. M.]]></given-names>
</name>
<name>
<surname><![CDATA[Figueiredo]]></surname>
<given-names><![CDATA[M. A]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Adaptive total variation image deblurring: a majorization-minimization approach]]></article-title>
<source><![CDATA[Signal processing]]></source>
<year>2009</year>
<page-range>1683-93</page-range></nlm-citation>
</ref>
<ref id="B27">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Panasyuk]]></surname>
<given-names><![CDATA[S. V.]]></given-names>
</name>
<name>
<surname><![CDATA[Yang]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Faller]]></surname>
<given-names><![CDATA[D. V.]]></given-names>
</name>
<name>
<surname><![CDATA[Ngo]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Lew]]></surname>
<given-names><![CDATA[R. A.]]></given-names>
</name>
<name>
<surname><![CDATA[Freeman]]></surname>
<given-names><![CDATA[J. E.]]></given-names>
</name>
<name>
<surname><![CDATA[Rogers]]></surname>
<given-names><![CDATA[A. E]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Medical hyperspectral imaging to facilitate residual tumor identification during surgery]]></article-title>
<source><![CDATA[Cancer biology &amp; therapy]]></source>
<year>2007</year>
<volume>6</volume>
<numero>3</numero>
<issue>3</issue>
<page-range>439-46</page-range></nlm-citation>
</ref>
<ref id="B28">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Simoes]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Bioucas-Dias]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Almeida]]></surname>
<given-names><![CDATA[L. B.]]></given-names>
</name>
<name>
<surname><![CDATA[Chanussot]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A convex formulation for hyperspectral image super-resolution via subspace-based regularization]]></article-title>
<source><![CDATA[IEEE Transactions on Geoscience and Remote Sensing]]></source>
<year>2014</year>
<volume>53</volume>
<numero>6</numero>
<issue>6</issue>
<page-range>3373-88</page-range></nlm-citation>
</ref>
<ref id="B29">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Schaepman]]></surname>
<given-names><![CDATA[M. E.]]></given-names>
</name>
<name>
<surname><![CDATA[Ustin]]></surname>
<given-names><![CDATA[S. L.]]></given-names>
</name>
<name>
<surname><![CDATA[Plaza]]></surname>
<given-names><![CDATA[A. J.]]></given-names>
</name>
<name>
<surname><![CDATA[Painter]]></surname>
<given-names><![CDATA[T. H.]]></given-names>
</name>
<name>
<surname><![CDATA[Verrelst]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Liang]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Earth system science related imaging spectroscopy-An assessment]]></article-title>
<source><![CDATA[Remote Sensing of Environment]]></source>
<year>2009</year>
<volume>113</volume>
<page-range>S123-37</page-range></nlm-citation>
</ref>
<ref id="B30">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Schreiber]]></surname>
<given-names><![CDATA[N. F.]]></given-names>
</name>
<name>
<surname><![CDATA[Genzel]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Bouché]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
<name>
<surname><![CDATA[Cresci]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Davies]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Buschkamp]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[The SINS survey: SINFONI integral field spectroscopy of z~ 2 star-forming galaxies]]></article-title>
<person-group person-group-type="editor">
<name>
<surname><![CDATA[Shapley]]></surname>
<given-names><![CDATA[A. E]]></given-names>
</name>
</person-group>
<source><![CDATA[The Astrophysical Journal]]></source>
<year>2009</year>
<volume>706</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>1364</page-range></nlm-citation>
</ref>
<ref id="B31">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Shaw]]></surname>
<given-names><![CDATA[G. A.]]></given-names>
</name>
<name>
<surname><![CDATA[Burke]]></surname>
<given-names><![CDATA[H. K]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Spectral imaging for remote sensing]]></article-title>
<source><![CDATA[Lincoln laboratory journal]]></source>
<year>2003</year>
<volume>14</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>3-28</page-range></nlm-citation>
</ref>
<ref id="B32">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Tibshirani]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Regression shrinkage and selection via the lasso]]></article-title>
<source><![CDATA[Journal of the Royal Statistical Society: Series B (Methodological)]]></source>
<year>1996</year>
<volume>58</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>267-88</page-range></nlm-citation>
</ref>
<ref id="B33">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Tosic]]></surname>
<given-names><![CDATA[I.]]></given-names>
</name>
<name>
<surname><![CDATA[Frossard]]></surname>
<given-names><![CDATA[P]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Dictionary learning]]></article-title>
<source><![CDATA[IEEE Signal Processing Magazine]]></source>
<year>2011</year>
<volume>28</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>27-38</page-range></nlm-citation>
</ref>
<ref id="B34">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Tropp]]></surname>
<given-names><![CDATA[J. A.]]></given-names>
</name>
<name>
<surname><![CDATA[Wright]]></surname>
<given-names><![CDATA[S. J.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Computational methods for sparse solution of linear inverse problems]]></article-title>
<source><![CDATA[Proceedings of the IEEE]]></source>
<year>2010</year>
<volume>98</volume>
<numero>6</numero>
<issue>6</issue>
<page-range>948-58</page-range></nlm-citation>
</ref>
<ref id="B35">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Vargas]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
<name>
<surname><![CDATA[Espitia]]></surname>
<given-names><![CDATA[O.]]></given-names>
</name>
<name>
<surname><![CDATA[Arguello]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Tourneret]]></surname>
<given-names><![CDATA[J. Y]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Spectral image fusion from compressive measurements]]></article-title>
<source><![CDATA[IEEE Transactions on Image Processing]]></source>
<year>2018</year>
<volume>28</volume>
<numero>5</numero>
<issue>5</issue>
<page-range>2271-82</page-range></nlm-citation>
</ref>
<ref id="B36">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Vargas]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
<name>
<surname><![CDATA[Arguello]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Tourneret]]></surname>
<given-names><![CDATA[J. Y.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Spectral image fusion from compressive measurements using spectral unmixing and a sparse representation of abundance maps]]></article-title>
<source><![CDATA[IEEE Transactions on Geoscience and Remote Sensing]]></source>
<year>2019</year>
<volume>57</volume>
<numero>7</numero>
<issue>7</issue>
<page-range>5043-53</page-range></nlm-citation>
</ref>
<ref id="B37">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Wei]]></surname>
<given-names><![CDATA[Q.]]></given-names>
</name>
<name>
<surname><![CDATA[Bioucas-Dias]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Dobigeon]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
<name>
<surname><![CDATA[Tourneret]]></surname>
<given-names><![CDATA[J. Y]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Hyperspectral and multispectral image fusion based on a sparse representation]]></article-title>
<source><![CDATA[IEEE Transactions on Geoscience and Remote Sensing]]></source>
<year>2015</year>
<volume>53</volume>
<numero>7</numero>
<issue>7</issue>
<page-range>3658-68</page-range></nlm-citation>
</ref>
<ref id="B38">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Wei]]></surname>
<given-names><![CDATA[Q.]]></given-names>
</name>
<name>
<surname><![CDATA[Dobigeon]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
<name>
<surname><![CDATA[Tourneret]]></surname>
<given-names><![CDATA[J. Y]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Bayesian fusion of multi-band images]]></article-title>
<source><![CDATA[IEEE Journal of Selected Topics in Signal Processing]]></source>
<year>2015</year>
<volume>9</volume>
<numero>6</numero>
<issue>6</issue>
<page-range>1117-27</page-range></nlm-citation>
</ref>
<ref id="B39">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Wei]]></surname>
<given-names><![CDATA[Q.]]></given-names>
</name>
<name>
<surname><![CDATA[Bioucas-Dias]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Dobigeon]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
<name>
<surname><![CDATA[Tourneret]]></surname>
<given-names><![CDATA[J. Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Chen]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Godsill]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Multiband image fusion based on spectral unmixing]]></article-title>
<source><![CDATA[IEEE Transactions on Geoscience and Remote Sensing]]></source>
<year>2016</year>
<volume>54</volume>
<numero>12</numero>
<issue>12</issue>
<page-range>7236-49</page-range></nlm-citation>
</ref>
<ref id="B40">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Yang]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Wright]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Huang]]></surname>
<given-names><![CDATA[T. S.]]></given-names>
</name>
<name>
<surname><![CDATA[Ma]]></surname>
<given-names><![CDATA[Y]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Image super-resolution via sparse representation]]></article-title>
<source><![CDATA[IEEE transactions on image processing]]></source>
<year>2010</year>
<volume>19</volume>
<numero>11</numero>
<issue>11</issue>
<page-range>2861-73</page-range></nlm-citation>
</ref>
<ref id="B41">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Yin]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Li]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Fang]]></surname>
<given-names><![CDATA[L]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Simultaneous image fusion and super-resolution using sparse representation]]></article-title>
<source><![CDATA[Information Fusion]]></source>
<year>2013</year>
<volume>14</volume>
<numero>3</numero>
<issue>3</issue>
<page-range>229-40</page-range></nlm-citation>
</ref>
<ref id="B42">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Zhao]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Yang]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Chan]]></surname>
<given-names><![CDATA[J. C. W]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Hyperspectral imagery super-resolution by spatial-spectral joint non-local similarity]]></article-title>
<source><![CDATA[IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing]]></source>
<year>2013</year>
<volume>7</volume>
<numero>6</numero>
<issue>6</issue>
<page-range>2671-9</page-range></nlm-citation>
</ref>
<ref id="B43">
<nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Zhao]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Yi]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Yang]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Chan]]></surname>
<given-names><![CDATA[J. C. W]]></given-names>
</name>
</person-group>
<source><![CDATA[Coupled hyperspectral super-resolution and unmixing]]></source>
<year>2014</year>
<month>,</month>
<conf-name><![CDATA[ IEEE Geoscience and Remote Sensing Symposium]]></conf-name>
<conf-date>2014</conf-date>
<conf-loc> </conf-loc>
<page-range>2641-4</page-range><publisher-name><![CDATA[IEEE]]></publisher-name>
</nlm-citation>
</ref>
</ref-list>
</back>
</article>
