Abstract

RUEDA, H. F; PARADA, A  and  ARGUELLO, H. Spectral resolution enhancement of hyperspectral imagery by a multiple-aperture compressive optical imaging system. Ing. Investig. [online]. 2014, vol.34, n.3, pp.50-55. ISSN 0120-5609.  https://doi.org/10.15446/ing.investig.v34n3.41675.

The Coded Aperture Snapshot Spectral Imaging (CASSI) system captures the three-dimensional (3D) spatio-spectral information of a scene using a set of two-dimensional (2D) random-coded Focal Plane Array (FPA) measurements. A compressive sensing reconstruction algorithm is then used to recover the underlying spatio-spectral 3D data cube. The quality of the reconstructed spectral images depends exclusively on the CASSI sensing matrix, which is determined by the structure of a set of random coded apertures. In this paper, the CASSI system is generalized by developing a multiple-aperture optical imaging system such that spectral resolution enhancement is attainable. In the proposed system, a pair of high-resolution coded apertures is introduced into the CASSI system, allowing it to encode both spatial and spectral characteristics of the hyperspectral image. This approach allows the reconstruction of super-resolved hyperspectral data cubes, where the number of spectral bands is significantly increased and the quality in the spatial domain is greatly improved. Extensively simulated experiments show a gain in the peak-signal-to-noise ratio (PSNR), along with a better fit of the reconstructed spectral signatures to the original spectral data.

Keywords : Hyperspectral imaging; Spectral resolution enhancement; Compressive sensing; Coded aperture.

        · abstract in Spanish     · text in English     · English ( pdf )