The Influence of Varying Background Regions on Statistical<br />
Matched Filter Detection Algorithms

doi:10.6046/gtzyyg.2010.02.06

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Abstract

Statistical matched filter detection algorithms can be applied to target detection in hyperspectral imagery. The calculation of the background covariance matrix is used in any statistical matched filters, including Adaptive Coherence Estimator (ACE) and Constrained Energy Minimization (CEM) presented in this paper. Experiments on the calculation of the background covariance matrix from different background regions and the utilization of ROC curve give a comparative analysis of the problem as to how different background regions affect the detection performance of ACE and CEM.

Keywords Information extraction Water content Tone characteristics

Issue Date: 29 June 2010

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Cite this article:

ZHANG Yan, WANG Guo-Hong, WANG Yong. The Influence of Varying Background Regions on Statistical
Matched Filter Detection Algorithms[J]. REMOTE SENSING FOR LAND & RESOURCES,2010, 22(2): 26-29.

URL:

https://www.gtzyyg.com/EN/10.6046/gtzyyg.2010.02.06 OR https://www.gtzyyg.com/EN/Y2010/V22/I2/26

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