Parallel Coded Aperture Method for Hyperspectral Compressive Sensing on GPU

Authored by: Gabriel Martín , José Nascimento , José Bioucas-Dias

Compressive Sensing of Earth Observations

Print publication date:  June  2017
Online publication date:  May  2017

Print ISBN: 9781498774376
eBook ISBN: 9781315154626
Adobe ISBN:


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Hyperspectral imaging instruments allow data collection in hundreds or even thousands of spectral bands (at different wavelength channels) for the same area on the surface of the Earth [1]. For instance, NASA is continuously gathering imagery data with instruments such as the Jet Propulsion Laboratory’s Airborne Visible Infra-Red Imaging Spectrometer (AVIRIS), which is able to record the visible and near-infrared spectrum (wavelength region from 0.4 to 2.5 micrometers) of reflected light in an area of 2 to 12 kilometers wide and several kilometers long, using 224 spectral bands [2]. The resulting multidimensional data cube typically comprises several GBs per flight. As a result, the computational requirements needed to store, manage, and process these images are enormous [3].

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