학술논문

Effects of signal contamination in RX detection of local hyperspectral anomalies
Document Type
Conference
Source
2012 IEEE International Geoscience and Remote Sensing Symposium Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International. :4845-4848 Jul, 2012
Subject
Geoscience
Signal Processing and Analysis
Computing and Processing
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Contamination
Hyperspectral imaging
Covariance matrix
Pollution measurement
Noise
Analytical models
Anomaly Detection
hyperspectral imagery
signal contamination
covariance matrix
Language
ISSN
2153-6996
2153-7003
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.