Classification performance of a block-compressive sensing algorithm for hyperspectral data processing Conference Paper
| Authors: | Arias, F. X.; Sierra, H.; Arzuaga, E. |
| Editors: | Velez-Reyes, M.; Messinger, D. W. |
| Title: | Classification performance of a block-compressive sensing algorithm for hyperspectral data processing |
| Conference Title: | Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXII |
| Abstract: | Compressive Sensing is an area of great recent interest for efficient signal acquisition, manipulation and reconstruction tasks in areas where sensor utilization is a scarce and valuable resource. The current work shows that approaches based on this technology can improve the efficiency of manipulation, analysis and storage processes already established for hyperspectral imagery, with little discernible loss in data performance upon reconstruction. We present the results of a comparative analysis of classification performance between a hyperspectral data cube acquired by traditional means, and one obtained through reconstruction from compressively sampled data points. To obtain a broad measure of the classification performance of compressively sensed cubes, we classify a commonly used scene in hyperspectral image processing algorithm evaluation using a set of five classifiers commonly used in hyperspectral image classification. Global accuracy statistics are presented and discussed, as well as class-specific statistical properties of the evaluated data set. © 2016 SPIE. |
| Keywords: | classification; image processing; reconstruction; signal processing; spectroscopy; image reconstruction; classification (of information); compressed sensing; signal reconstruction; digital storage; compressive sensing; classification performance; image classification; multispectral imaging; hyperspectral imaging; data handling; block compressive sensing; hyper-spectral imageries; hyperspectral image classification; hyperspectral image processing |
| Journal Title | Proceedings of SPIE |
| Volume: | 9840 |
| Conference Dates: | 2016 Apr 18-21 |
| Conference Location: | Baltimore, MD |
| ISBN: | 0277-786X |
| Publisher: | SPIE |
| Date Published: | 2016-05-23 |
| Start Page: | 984005 |
| Language: | English |
| DOI: | 10.1117/12.2224542 |
| PROVIDER: | scopus |
| DOI/URL: | |
| Notes: | Conference Paper -- Conference code: 123552 -- Export Date: 3 October 2016 -- The Society of Photo-Optical Instrumentation Engineers (SPIE) -- Source: Scopus |
