SAR圖像人造目標(biāo)檢測(cè)研究
Man-Made Target Detection of SAR Images
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摘要: 在合成孔徑雷達(dá)(SAR)自動(dòng)目標(biāo)識(shí)別中，人造目標(biāo)的檢測(cè)至關(guān)重要。該文根據(jù)SAR圖像的特點(diǎn)，對(duì)圖像中的人造目標(biāo)進(jìn)行了檢測(cè)。首先采用自適應(yīng)小波濾波方法對(duì)圖像進(jìn)行濾波，在保留圖像細(xì)節(jié)的前提下有效地去除了圖像中的乘性噪聲，使后續(xù)的檢測(cè)變得相對(duì)容易。然后采用基于自適應(yīng)遺傳算法的C-劃分二維模糊熵算法對(duì)圖像進(jìn)行分割。實(shí)驗(yàn)結(jié)果表明，該文方法能夠有效地檢測(cè)出圖像中的人造目標(biāo)。
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關(guān)鍵詞:
- 合成孔徑雷達(dá);小波濾波;模糊熵分割;遺傳算法
Abstract: In the process of SAR (Synthetic Aperture Radar) ATR (Automatic Target Recognition), man-made target detection is very important. In this paper, analyzing the characteristics of SAR images, a new method is proposed to detect man-made targets in SAR images. Firstly, the image is smoothed with the adaptive wavelet filter; the multiple speckles are removed while the edge property of SAR images is sustained. It made the detection easier. Then, the images is segmented with the 2-D C-partition fussy entropy method based on adaptive genetic algorithm. Test results show that the algorithm can detect man-made targets effectively. -
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