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
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;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2012.6352528
