<?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>1909-3667</journal-id>
<journal-title><![CDATA[Tecciencia]]></journal-title>
<abbrev-journal-title><![CDATA[Tecciencia]]></abbrev-journal-title>
<issn>1909-3667</issn>
<publisher>
<publisher-name><![CDATA[Universidad ECCI]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1909-36672018000200029</article-id>
<article-id pub-id-type="doi">10.18180/tecciencia.2018.25.4</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Comparison of ATCOR Atmospheric and ELM Linear Empirical Correction Models Applied to WorldView-2 Images]]></article-title>
<article-title xml:lang="es"><![CDATA[Comparación de Modelos de Corrección Atmosférica ATCOR y Empírico Lineal ELM Aplicados a Imágenes WorldView-2]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Roa-Melgarejo]]></surname>
<given-names><![CDATA[Osman]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
<xref ref-type="aff" rid="Aaf"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Ariza]]></surname>
<given-names><![CDATA[Alexander]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
<xref ref-type="aff" rid="Aaf"/>
<xref ref-type="aff" rid="A a"/>
<xref ref-type="aff" rid="A4"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Ramírez]]></surname>
<given-names><![CDATA[Héctor Mauricio]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
<xref ref-type="aff" rid="Aaf"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[León-Rincón]]></surname>
<given-names><![CDATA[Hermann]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Centro de Investigación y Desarrollo en Información Geográfica  ]]></institution>
<addr-line><![CDATA[Bogotá ]]></addr-line>
<country>Colombia</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Instituto Geográfico Agustín Codazzi  ]]></institution>
<addr-line><![CDATA[Bogotá ]]></addr-line>
<country>Colombia</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Universidad Católica de Manizales  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Colombia</country>
</aff>
<aff id="Af4">
<institution><![CDATA[,Universidad de San Buenaventura  ]]></institution>
<addr-line><![CDATA[Bogotá ]]></addr-line>
<country>Colombia</country>
</aff>
<aff id="Af5">
<institution><![CDATA[,Centro de Investigaciones Oceanográficas e Hidrográficas del Caribe  ]]></institution>
<addr-line><![CDATA[Cartagena ]]></addr-line>
<country>Colombia</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2018</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2018</year>
</pub-date>
<volume>13</volume>
<numero>25</numero>
<fpage>29</fpage>
<lpage>38</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_arttext&amp;pid=S1909-36672018000200029&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_abstract&amp;pid=S1909-36672018000200029&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_pdf&amp;pid=S1909-36672018000200029&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract The use of remote sensing images for the characterization of the coastal marine ecosystems requires the prior removal of the atmospheric effects, which can be done in a semi-automated manner, by the use of algorithms based on alternative assumptions contained in the processing tools for different software packages. The main objective of this study was to statistically compare the spectral behavior of the coverages contained in a high-resolution WorldView-2 image atmospherically corrected according to the ATCOR and empirical linear models (ELM), using field spectroradiometry conducted in the insular areas of the archipelago of San Andres and Providence. The ATCOR correction model was applied through the PCI 2015 Geomatics software; regarding the ELM model, the ENVI 5.2 software was used. For the spectral comparison four (4) types of coverage were selected (vegetation, reef formations, beach sand and submerged sandbank), with twenty (20) replicas each, for a total of eighty (80) sampling points distributed in a stratified way in the image. The statistical results showed a linear correlation greater than 0.9 between the reflectance values for each of the bands (Blue, Green, Red and NIR-1) and indicate that both models of the atmospheric correction have a high capacity to eliminate the atmospheric effects present in this type of images. However, there are minor significant differences between the middle quadratic errors in the reflectance values for each band of the corrected images.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen El uso de imágenes de sensores remotos para la caracterización de los ecosistemas marinos costeros requiere de la eliminación previa de los efectos atmosféricos, lo cual puede realizarse de forma semiautomatizada, mediante la utilización de algoritmos basados en supuestos alternativos contenidos en las herramientas de procesamiento para diferentes paquetes de softwares. El objetivo central de este estudio fue comparar estadísticamente el comportamiento espectral de las coberturas contenidas en una imagen de alta resolución WorldView-2 corregida atmosféricamente en función de los modelos ATCOR y empírico lineal (ELM), mediante espectrorradiometría de campo realizada en las zonas insulares del archipiélago de San Andrés y Providencia. El modelo de corrección ATCOR se aplicó a través del software Geomática PCI 2015; en cuanto al modelo ELM, se utilizó el software ENVI. 5.2. Para la comparación espectral se seleccionaron cuatro (4) tipos de coberturas (vegetación, formaciones arrecifales, arena de playa y banco de arena sumergido), con veinte (20) réplicas cada una, para un total de ochenta (80) puntos de muestreo distribuidos de manera estratificada en la imagen. Los resultados estadísticos muestran una correlación lineal mayor a 0.9 entre los valores de reflectancia para cada una de las bandas (Blue, Green, Red y NIR-1) e indican que ambos modelos de corrección atmosférica tienen una alta capacidad para eliminar los efectos atmosféricos presentes en este tipo de imágenes. No obstante, se presentan diferencias poco significativas entre los errores medio cuadráticos en los valores de reflectancia para cada banda de las imágenes corregidas.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[Remote Sensors]]></kwd>
<kwd lng="en"><![CDATA[WorldView-2]]></kwd>
<kwd lng="en"><![CDATA[Atmospheric Correction]]></kwd>
<kwd lng="en"><![CDATA[ATCOR]]></kwd>
<kwd lng="en"><![CDATA[ELM]]></kwd>
<kwd lng="es"><![CDATA[Sensores Remotos]]></kwd>
<kwd lng="es"><![CDATA[WorldView-2]]></kwd>
<kwd lng="es"><![CDATA[Corrección Atmosférica]]></kwd>
<kwd lng="es"><![CDATA[ATCOR]]></kwd>
<kwd lng="es"><![CDATA[ELM]]></kwd>
</kwd-group>
</article-meta>
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<surname><![CDATA[Edler]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
</person-group>
<source><![CDATA[Comparison between atmospheric correction modules on the basis of worldview-2 imagery and in situ spectroradiometric measurements]]></source>
<year>2011</year>
<edition>7</edition>
<page-range>11-3</page-range><publisher-loc><![CDATA[Edinburgh ]]></publisher-loc>
<publisher-name><![CDATA[EARSeL SIG Imaging Spectroscopy workshop]]></publisher-name>
</nlm-citation>
</ref>
</ref-list>
</back>
</article>
