Title :
Effects of signature mismatch on hyperspectral detection algorithms
Author :
Manolakis, D. ; Cooley, T. ; Jacobson, J.
Author_Institution :
MIT Lincoln Lab., Lexington, MA, USA
Abstract :
The main objective of this paper is to discuss the effects of signature mismatch on hyperspectral target detection algorithms. The main causes of mismatch are atmospheric propagation, intrinsic spectral variability, sensor noise, and sensor artifacts. We provide a theoretical analysis that shows the effects of mismatch on adaptive detection algorithms, which use estimates of background covariance matrix, and we present a systematic diagonal loading technique which provides controlled robustness to mismatch.
Keywords :
covariance matrices; digital signatures; object detection; signal detection; spectral analysis; adaptive detection; atmospheric propagation; background covariance matrix; hyperspectral target detection algorithm; intrinsic spectral variability; sensor noise; signature mismatch; systematic diagonal loading technique; theoretical analysis; Covariance matrix; Detection algorithms; Detectors; Hyperspectral imaging; Pixel; Robustness;
Conference_Titel :
Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2010 2nd Workshop on
Conference_Location :
Reykjavik
Print_ISBN :
978-1-4244-8906-0
Electronic_ISBN :
978-1-4244-8907-7
DOI :
10.1109/WHISPERS.2010.5594824
