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Reconstructing and segmenting hyperspectral images from compressed measurements

Publication ,  Journal Article
Zhang, Q; Plemmons, R; Kittle, D; Brady, D; Prasad, S
Published in: Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing
December 28, 2011

A joint reconstruction and segmentation model for hyperspectral data obtained from a compressive measurement system is proposed, and some preliminary tests are described. Although hyperspectral imaging (HSI) technology has incredible potential, its utility is currently limited because of the quantity and complexity of the data it gathers. Yet, often the scene to be reconstructed from the HSI data contains far less information, typically consisting of spectrally and spatially homogeneous segments that can be represented sparsely in an appropriate basis. Such vast informational redundancy thus implicitly contained in the HSI data warrants a compressed sensing (CS) strategy that acquires appropriately coded spectral-spatial data from which one can reconstruct the original image more efficiently, while still enabling target identification procedures. A coded-aperture snapshot spectral imager (CASSI) is considered here, and a joint reconstruction and segmentation model for data obtained from CASSI compressive measurements is proposed and preliminary numerical experiments are presented. © 2011 IEEE.

Duke Scholars

Published In

Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing

DOI

ISSN

2158-6276

Publication Date

December 28, 2011
 

Citation

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Zhang, Q., Plemmons, R., Kittle, D., Brady, D., & Prasad, S. (2011). Reconstructing and segmenting hyperspectral images from compressed measurements. Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing. https://doi.org/10.1109/WHISPERS.2011.6080939
Zhang, Q., R. Plemmons, D. Kittle, D. Brady, and S. Prasad. “Reconstructing and segmenting hyperspectral images from compressed measurements.” Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing, December 28, 2011. https://doi.org/10.1109/WHISPERS.2011.6080939.
Zhang Q, Plemmons R, Kittle D, Brady D, Prasad S. Reconstructing and segmenting hyperspectral images from compressed measurements. Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing. 2011 Dec 28;
Zhang, Q., et al. “Reconstructing and segmenting hyperspectral images from compressed measurements.” Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing, Dec. 2011. Scopus, doi:10.1109/WHISPERS.2011.6080939.
Zhang Q, Plemmons R, Kittle D, Brady D, Prasad S. Reconstructing and segmenting hyperspectral images from compressed measurements. Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing. 2011 Dec 28;

Published In

Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing

DOI

ISSN

2158-6276

Publication Date

December 28, 2011