一種基于多傳感器多級信息融合的紅外目標(biāo)檢測方法
IR Target Detection Based on Multi-sensor Multi-level Information Fusion
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摘要: 針對遠(yuǎn)距離低信噪比條件下目標(biāo)檢測難的實(shí)際問題，該文提出一種基于多傳感器多級信息融合的目標(biāo)檢測方法。該算法包括兩個部分：特征級融合和決策級融合。在特征級融合階段，首先提取雙波段紅外圖像的各個特征圖像；然后，采用自適應(yīng)加權(quán)方法對所得到的特征圖像進(jìn)行融合，得到目標(biāo)判決置信圖；最后根據(jù)置信度最大規(guī)則對置信圖進(jìn)行目標(biāo)位置搜索，得到各級目標(biāo)判決結(jié)果。在決策級融合階段，對各級目標(biāo)判決結(jié)果采用組合邏輯進(jìn)行融合，得到系統(tǒng)的目標(biāo)檢測輸出。實(shí)驗(yàn)結(jié)果顯示了該算法的有效性。
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關(guān)鍵詞:
- 雙色紅外;目標(biāo)檢測;信息融合
Abstract: Aimed at the difficult problem for detecting distant small target with very low SNR, the proposed method of target detection based on multi-sensor multi-level information fusion consists of two parts: The feature level fusion and the decision fusion. On the phase of feature level fusion, first extract all feature images of dual band IR images; then fuse these feature images by using the adaptive weighting method to get the confidence images of target decision; finally scan the confidence images by using the maximum confidence value rule to get result of target detection for all levels. On the phase of decision fusion, fuse the result of target detection for all levels by using the combination logic to get target detection output for the system. The result shows the effectiveness. -
Borghys D, Perneel C, Acheroy M. Long range automatic detection of small targets in sequences of noisy thermal infrared images. SPIE-USA(Orlando), 1994: 4-8.[2]杜少軍,陸啟生.紅外雙色探測研究.紅外技術(shù),2000,22(2):36-39.[3]Lawrence K. A Boolean algebra approach to multiple sensor voting fusion. IEEE Trans. on AES,1993, AES-29(2): 54-62.[4]Kwon Heesung, Der Sandor Z, Nasrabadi N M. Adaptive multisensor target detection using feature-based fusion[J].Opt. Eng.2002, 41(1):69-80 -
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