There are two target detection algorithms which are commonly used in various applications.1) Supervised target detection 2) anomaly *** of them works on a similar linear process, which makes them deeply *** this paper...
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There are two target detection algorithms which are commonly used in various applications.1) Supervised target detection 2) anomaly *** of them works on a similar linear process, which makes them deeply *** this paper, we suggest a hyperspectral target detection algorithm by combining the constrained energy minimization (CEM) and *** aims to efficiently improve target detection performance with anomaly detection *** particular, a specific method is presented by using the RX (Reed-Xiaoli) anomaly detector to adjust the output of constrained energy minimization (CEM) *** comparison to the improve the detection performance.
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