DocumentCode :
2839847
Title :
Advanced algorithms for autonomous hyperspectral change detection
Author :
Schaum, A. ; Stocker, Alan
Author_Institution :
Naval Res. Lab., Washington, DC, USA
fYear :
2004
fDate :
13-15 Oct. 2004
Firstpage :
33
Lastpage :
38
Abstract :
Persistent ISR (intelligence surveillance and reconnaissance) has proven its value as a tactic for national defense. This activity can collect, in particular, information necessary for executing an important concept of operations: wide-area autonomous change detection over long time intervals. Here we describe the remarkable potential of hyperspectral remote sensing systems for enabling such missions, using either visible or thermal infrared wavelengths. First we describe blind change detection, in which no target knowledge is assumed. Targets that have moved can nevertheless be distinguished from naturally occurring background radiometric changes through the use of multivariate statistics informed by simple physics. Detection relies on the ability of hyperspectral algorithms to predict certain conserved properties of background spectral patterns over long time intervals. We also describe a method of mitigating the most worrisome practical engineering difficulty in pixel-level change detection, image misregistration. This has led, in turn, to a method of estimating spectral signature evolution using multiple-scene statistics. Finally, we present a signature-based detection technique that fuses two discrimination mechanisms: use of some prior knowledge of target spectra, and the fact that a change has occurred.
Keywords :
image registration; pattern recognition; autonomous hyperspectral change detection; background spectral patterns; hyperspectral remote sensing systems; image misregistration; intelligence surveillance and reconnaissance; multiple-scene statistics; multivariate statistics; national defense; pixel-level change detection; signature-based detection technique; spectral signature evolution estimation; target spectra; thermal infrared wavelengths; visible wavelengths; Change detection algorithms; Hyperspectral imaging; Hyperspectral sensors; Physics; Prediction algorithms; Radiometry; Reconnaissance; Remote sensing; Statistics; Surveillance; Change Detection; Covariance Equalization; Hyperspectral Imaging; ISR;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory, 2004. ISIT 2004. Proceedings. International Symposium on
ISSN :
1550-5219
Print_ISBN :
0-7695-2250-5
Type :
conf
DOI :
10.1109/AIPR.2004.10
Filename :
1409671
Link To Document :
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