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動(dòng)態(tài)規(guī)劃算法在運(yùn)動(dòng)點(diǎn)目標(biāo)檢測(cè)中的應(yīng)用研究

張兵,  盧煥章

張兵, 盧煥章. 動(dòng)態(tài)規(guī)劃算法在運(yùn)動(dòng)點(diǎn)目標(biāo)檢測(cè)中的應(yīng)用研究[J]. 電子與信息學(xué)報(bào), 2004, 26(12): 1895-1900.
引用本文: 張兵, 盧煥章. 動(dòng)態(tài)規(guī)劃算法在運(yùn)動(dòng)點(diǎn)目標(biāo)檢測(cè)中的應(yīng)用研究[J]. 電子與信息學(xué)報(bào), 2004, 26(12): 1895-1900.
Zhang Bing, Lu Huan-zhang. Dynamic Programming Algorithm for Detecting Moving Point Targets[J]. Journal of Electronics & Information Technology, 2004, 26(12): 1895-1900.
Citation: Zhang Bing, Lu Huan-zhang. Dynamic Programming Algorithm for Detecting Moving Point Targets[J]. Journal of Electronics & Information Technology, 2004, 26(12): 1895-1900.

動(dòng)態(tài)規(guī)劃算法在運(yùn)動(dòng)點(diǎn)目標(biāo)檢測(cè)中的應(yīng)用研究

Dynamic Programming Algorithm for Detecting Moving Point Targets

  • 摘要: 序列圖像中低信噪比運(yùn)動(dòng)點(diǎn)目標(biāo)的實(shí)時(shí)檢測(cè)算法,是許多實(shí)時(shí)處理系統(tǒng)中的關(guān)鍵算法之一。該文在對(duì)面臨的實(shí)際問題與對(duì)檢測(cè)算法分析的基礎(chǔ)上,詳細(xì)闡述和研究了利用LS線性預(yù)測(cè)器的動(dòng)態(tài)規(guī)劃能量累積算法,并根據(jù)仿真實(shí)驗(yàn)的效果,指出此算法較直接動(dòng)態(tài)規(guī)劃能量累積算法可最大程度地降低能量擴(kuò)散,減少團(tuán)聚在目標(biāo)周圍的虛警目標(biāo)點(diǎn),十分利于后續(xù)軌跡關(guān)聯(lián)檢測(cè)處理.
    Abstract: The real-time detection algorithm of moving point target in image sequences is one of key algorithms in many real-time processing systems. After the analysis of real background and the demand of the detection algorithm, this paper presents a research of the dynamic programming with LS linear predictor for detecting low SNR moving targets. With the result of simulation test, it can be pointed out that the introduced algorithm can effectively suppress the target energy pervasion and reduce the false alarms around the real target. The result is very suitable for the point-track predicting and matching algorithm for detecting the target trajectory.
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  • 陳華明.圖像末制導(dǎo)中弱小運(yùn)動(dòng)點(diǎn)目標(biāo)檢測(cè)算法與實(shí)現(xiàn)技術(shù).[博士論文],長(zhǎng)沙:國(guó)防科技大學(xué),2003.[2]陳尚鋒.基于加權(quán)動(dòng)態(tài)規(guī)劃的小目標(biāo)檢測(cè)算法研究.[碩士論文],長(zhǎng)沙:國(guó)防科技大學(xué),2002.[3]Zhang Bing.[J].Lu Huanzhang. The predicting and matching detection algorithm of moving point target in image sequences. In: Proc. of the IEEE International Conference on Neural Networks Signal Processing, Nanjing, China.2003,:-[4]Bar-Shalom Y. Multi-target Multi-sensor Tracking: Advanced Applications. Norwood, MA, USA:Artech House Inc., 1990: Chapter 4. [5]Arnold J, Pastenack H. Detection and tracking of low-observable targets through dynamic programming. In: Proc. of the SPIE Conference on Signal and Data Processing of Small Targets,Orlando, Florida, USA: SPIE, 1990, 1305: 207-217.[5]Tonissen S M, Evans R J. Performance of dynamic programming techniques for track before detect. IEEE Trans. on AES, 1996, 32(4): 1440-1450.[6]Johnston L A, Krishnamurthy V. Performance analysis of a dynamic programming track before detect algorithm. IEEE Trans. on AES, 2002, 38(1): 228-242.[7]Nishiguchi K, Kobayashi M, Ichikawa A. Small target detection from image sequences using recursive max filter. In: Proc. of the SPIE Conference on Signal and Data Processing of Small Targets, San Diego, California, USA: SPIE, 1995, 2561: 153-166.[8]潘巧海,李東曉,姚慶棟,陳曉出.基于最大值遞歸濾波器的暗點(diǎn)目標(biāo)檢測(cè)算法.紅外與毫米波學(xué)報(bào),2000,19(3):224-228.[9]楊宜禾,周維真.成像跟蹤技術(shù)導(dǎo)論.西安:西安電子科技大學(xué)出版社,1994:129-134.
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出版歷程
  • 收稿日期:  2003-07-17
  • 修回日期:  2004-01-05
  • 刊出日期:  2004-12-19

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