基于位置相關(guān)的SAR圖像中分布式目標(biāo)檢測(cè)
Distributed Targets Detection in SAR Image Based on Position Correlation
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摘要: 在研究了SAR圖像中分布式目標(biāo)在其所占有的各分辨單元間的二維位置相關(guān)信息的基礎(chǔ)上，提出了一種SAR圖像中分布目標(biāo)的檢測(cè)方法。根據(jù)二維情形下的不同距離定義，提出了算法的幾種形式。計(jì)算機(jī)仿真結(jié)果、處理真實(shí)SAR圖像數(shù)據(jù)的試驗(yàn)結(jié)果和性能分析表明了該方法比經(jīng)典的恒虛警檢測(cè)算法更有效、更優(yōu)越。通過(guò)比較不同的距離定義下檢測(cè)算法的性能和運(yùn)算復(fù)雜度，得出了最優(yōu)的距離定義形式。
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關(guān)鍵詞:
- 合成孔徑雷達(dá);分布式目標(biāo);檢測(cè)
Abstract: Based on the study of the 2-dimensional position correlation information among resolution cells of a distributed target, a new method for distributed targets detection in SAR image is proposed. Several forms of the method based on different range measure definitions are proposed and compared with the CFAR detection by simulation and experiment, the results and performance analysis show the validity and advantage of the proposed method. By comparing the detection performance and computation complexity of the three range measure definitions with each other, the optimal one is determined. -
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