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:

10.1201/9781315154626-14

 Download Chapter

 

Abstract

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].

 Cite
Search for more...
Back to top

Use of cookies on this website

We are using cookies to provide statistics that help us give you the best experience of our site. You can find out more in our Privacy Policy. By continuing to use the site you are agreeing to our use of cookies.