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. © 2012 IEEE.
Effects of signal contamination in RX detection of local hyperspectral anomalies
Matteoli S;
2012
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. © 2012 IEEE.File in questo prodotto:
Non ci sono file associati a questo prodotto.
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
