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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
