TY - JOUR
T1 - Sparsity and structure in hyperspectral imaging
T2 - Sensing, reconstruction, and target detection
AU - Willett, Rebecca M.
AU - Duarte, Marco F.
AU - Davenport, Mark A.
AU - Baraniuk, Richard G.
N1 - Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2014/1
Y1 - 2014/1
N2 - Hyperspectral imaging is a powerful technology for remotely inferring the material properties of the objects in a scene of interest. Hyperspectral images consist of spatial maps of light intensity variation across a large number of spectral bands or wavelengths; alternatively, they can be thought of as a measurement of the spectrum of light transmitted or reflected from each spatial location in a scene. Because chemical elements have unique spectral signatures, observing the spectra at a high spatial and spectral resolution provides information about the material properties of the scene with much more accuracy than is possible with conventional three-color images. As a result, hyperspectral imaging is used in a variety of important applications, including remote sensing, astronomical imaging, and fluorescence microscopy.
AB - Hyperspectral imaging is a powerful technology for remotely inferring the material properties of the objects in a scene of interest. Hyperspectral images consist of spatial maps of light intensity variation across a large number of spectral bands or wavelengths; alternatively, they can be thought of as a measurement of the spectrum of light transmitted or reflected from each spatial location in a scene. Because chemical elements have unique spectral signatures, observing the spectra at a high spatial and spectral resolution provides information about the material properties of the scene with much more accuracy than is possible with conventional three-color images. As a result, hyperspectral imaging is used in a variety of important applications, including remote sensing, astronomical imaging, and fluorescence microscopy.
UR - http://www.scopus.com/inward/record.url?scp=85032751606&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85032751606&partnerID=8YFLogxK
U2 - 10.1109/MSP.2013.2279507
DO - 10.1109/MSP.2013.2279507
M3 - Article
AN - SCOPUS:85032751606
VL - 31
SP - 116
EP - 126
JO - IEEE Signal Processing Magazine
JF - IEEE Signal Processing Magazine
SN - 1053-5888
IS - 1
M1 - 6678233
ER -