The Influence of Varying Background Regions on Statistical
Matched Filter Detection Algorithms
ZHANG Yan 1, WANG Guo-hong 2, WANG Yong 1
1.Institute of Science and Technology for Opto-Electronic Information, Yantai University, Yantai 264005, China；2.Research Institute of Information Fusion， Naval Aeronautical and Astronautical University, Yantai 264001, China
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.
张艳, 王国宏, 王勇. 背景区域对统计匹配滤波探测器性能的影响[J]. 国土资源遥感, 2010, 22(2): 26-29.
ZHANG Yan, WANG Guo-Hong, WANG Yong. The Influence of Varying Background Regions on Statistical
Matched Filter Detection Algorithms. REMOTE SENSING FOR LAND & RESOURCES, 2010, 22(2): 26-29.
2010, Vol. 22 
