Effects of signature mismatch on hyperspectral detection algorithms

Author

Manolakis, D. ; Cooley, T. ; Jacobson, J.

Author_Institution

MIT Lincoln Lab., Lexington, MA, USA

fYear

2010

fDate

14-16 June 2010

Firstpage

1

Lastpage

4

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/WHISPERS.2010.5594824

Filename

5594824