一種基于小波變換的序列圖像中小目標(biāo)檢測與跟蹤算法
DETECTING AND TRACKING DIM SMALL TARGET IN IMAGE SEQUENCES BASED ON WAVELET TRANSFORMS
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摘要: 該文提出了一種快速檢測序列圖像中低信噪比(2dB)小目標(biāo)的算法。采用小波濾波器對每幀圖像濾波,提高目標(biāo)的信噪比,降低了低信噪比小目標(biāo)檢測算法的運(yùn)算量;采用固定長度的假設(shè)檢驗(yàn)算法,生成起始航跡,有效地避免航跡的漏檢;采用截?cái)嘈蜇炈迫槐葯z驗(yàn),形成確認(rèn)航跡。仿真結(jié)果表明應(yīng)用此算法,可快速實(shí)現(xiàn)信噪比小于2dB的小目標(biāo)(22)的檢測與跟蹤。
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關(guān)鍵詞:
- 小波濾波; 多級假設(shè)檢驗(yàn); 序列圖像; 小目標(biāo)檢測與跟蹤
Abstract: A fast algorithm is proposed for tracking low observable small targets in a digital image sequence. Wavelet transform is used for image filterting to improve SNR. Fixed sample size hypothesis testing is applied to generate tentative tracks which avoids target tracks missing. Target trajectories are confirmed by truncated sequential probability ratio test. The simulation results show that it can detect and track small targets efficiently with SNR2dB. -
I.S. Reed, R. M. Gagliardi, L. B. Stotts, Optical moving target detection with 3-D matched filtering, IEEE Trans. on AES, 1988, AES-24(1), 327-336.[2]S.D. Blostein, H. S. Richardson, A sequential detection approach to target tracking, IEEE Trans. on AES, 1994, AES-30(1), 197-211.[3]Y. Bar-Shalom, Multitarget Multisensor Tracking, Advanced Applications, MA, Artech House,1990, 151-211.[4]R.M. Rao, A. S. Bopardikar, Wavelet Transforms, MA, Addison Wesley Longman, 1998, 183 214. -
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