DocumentCode
2236551
Title
Effects of signal contamination in RX detection of local hyperspectral anomalies
Author
Matteoli, Stefania ; Diani, Marco ; Corsini, Giovanni
Author_Institution
Dipt. di Ing. dell´´Inf., Univ. di Pisa, Pisa, Italy
fYear
2012
fDate
22-27 July 2012
Firstpage
4845
Lastpage
4848
Abstract
This work investigates the effects of target signal contamination over local RX anomaly detection performance. An analytical model for signal contamination is introduced where several parameters, such as the contamination fraction and the contaminating signal strength, are employed to derive an objective measure of contamination. Results from Monte Carlo simulations show the relevance that signal contamination may have in practical applications.
Keywords
Monte Carlo methods; geophysical signal processing; geophysical techniques; Monte Carlo simulations; analytical model; contaminating signal strength; contamination fraction; local RX anomaly detection performance; local hyperspectral anomalies; target signal contamination; Analytical models; Contamination; Covariance matrix; Hyperspectral imaging; Noise; Pollution measurement; Anomaly Detection; covariance matrix; hyperspectral imagery; signal contamination;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location
Munich
ISSN
2153-6996
Print_ISBN
978-1-4673-1160-1
Electronic_ISBN
2153-6996
Type
conf
DOI
10.1109/IGARSS.2012.6352528
Filename
6352528
Link To Document