IMPROVEMENT TO PROJECTION DETECTION OF SLOWLY MOVING POINT TARGET IN INFRARED IMAGE SEQUENCES

[in Chinese]; [in Chinese]; [in Chinese]

[1] Reed I S, Gagliardi R M, Stotts L. Optical moving target detection with 3-D matched filtering. IEEE Trans. AES., 1988, 24(4): 327-335

[2] Reed I S, Gagliardi R M, Stotts L. A recursive moving-target-indication algorithm for optical image sequences. IEEE Trans. AES., 1990, 26(3): 434-439

[3] Porat B, Friedlander B. A frequency domain algorithm for multiframe detection and estimation of dim targets. IEEE Trans. PAMI., 1990, 12(4): 398-401

[4] Blostein S D, Huang T S. Detecting small, moving objects in image sequences using sequential hypothesis testing. IEEE Trans. SP., 1991, 39(7): 1611-1629

[5] Blostein S D, Richardson H S. A sequential detection approach to target tracking. IEEE Trans. AES., 1994, 30(1): 197-212

[6] Barniv Y. Dynamic programming solution for detection dim moving targets. IEE Trans. AES., 1994, 30(1): 197-212

[7] Shirvaikar M V, Trivedi M M. A neural network filter to detect small targets in high clutter backgrounds. IEEE Trans. NN., 1995, 6(1): 252-257

[8] Liou R J, Azimi-Sadjadi M R. Dim target detection using high order correlation method, IEEE Trans. AES., 1993, 29(3): 841-856

[10] Chu P L. Optimal projection for multidimensional signal detection. IEEE Trans. ASSP., 1988, 36(5): 775-786

[11] Won Y. Morphological shared-weight networks with applications to automatic target recognition. IEEE Trans. NN., 1997, 8(5): 1195-1203

[12] Ritter G X. Morphological associative memories. IEEE Trans. NN., 1998, 9(2): 281-292