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On the Small SNR Processing Ability of IR Point Target Detection
作者姓名:Song Liuping and Sun ZhongkangDept. of Electronic Eng.. National Univ. of Defense Technology  Changsha    P.R.China
作者单位:Song Liuping and Sun ZhongkangDept. of Electronic Eng.. National Univ. of Defense Technology,Changsha,410073,P.R.China
摘    要:: Three-dimensional (3-D) matched filtering has been suggested as a powerful processing technique for detecting weak, moving IR point target immersed in a noisy Held. Based on the theory of the 3-D matched filtering and the optimal linear processing, the optimal point target detector is being analyzed in this paper. The performance of the detector is introduced in detail. The results provide a standard reference to evaluate the performance of any other point target detection algorithms.


On the Small SNR Processing Ability of IR Point Target Detection
Song Liuping and Sun ZhongkangDept. of Electronic Eng.. National Univ. of Defense Technology,Changsha,,P.R.China.On the Small SNR Processing Ability of IR Point Target Detection[J].Journal of Systems Engineering and Electronics,1993(3).
Authors:Song Liuping and Sun ZhongkangDept of Electronic Eng National Univ of Defense Technology  Changsha    PRChina
Institution:Song Liuping and Sun ZhongkangDept. of Electronic Eng.. National Univ. of Defense Technology,Changsha,410073,P.R.China
Abstract:: Three-dimensional (3-D) matched filtering has been suggested as a powerful processing technique for detecting weak, moving IR point target immersed in a noisy Held. Based on the theory of the 3-D matched filtering and the optimal linear processing, the optimal point target detector is being analyzed in this paper. The performance of the detector is introduced in detail. The results provide a standard reference to evaluate the performance of any other point target detection algorithms.
Keywords:Digital image processing  Image sequence  Signal-to-noise ratio (SNR)  Matched filtering(MF)  Optimal linear detector  
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