一種使用灰度梯度提取合成孔徑雷達(dá)圖像灰度邊界的方法
A LUMINANCE EDGE DETECTION METHOD USINGGRADIENT OF GRAY LEVEL FOR SYNTHETICAPERTURE RADAR IMAGERY
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摘要: 在合成孔徑雷達(dá)數(shù)字成像的多級(jí)成像和合成孔徑雷達(dá)圖像的許多應(yīng)用中,往往需要提取合成孔徑雷達(dá)圖像的灰度邊界特征。人們對(duì)于由可見(jiàn)光或紅外成像系統(tǒng)獲得的普通圖像的灰度邊界提取已經(jīng)進(jìn)行了很多研究。使用灰度梯度提取普通圖像的灰度邊界非常有效,得到了廣泛的應(yīng)用.但由于在合成孔徑雷達(dá)圖像中存在嚴(yán)重的相干斑噪聲,有人認(rèn)為使用灰度梯度提取合成孔徑雷達(dá)圖像的灰度邊界得不到好的結(jié)果。在本文中,我們考慮到合成孔徑雷達(dá)圖像的特性,給出了一種比較理想的提取合成孔徑雷達(dá)圖像的灰度邊界的方法。這種方法使用相對(duì)平均灰度梯度,并且把檢測(cè)與跟蹤結(jié)合起來(lái)。
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關(guān)鍵詞:
- 合成孔徑雷達(dá); 圖像處理; 特征提取; 灰度邊界; 灰度梯度; 多級(jí)成像
Abstract: In the multistage imaging proc ssing for SAR digital imaging and the applications of SAR image, it is often required to extract the luminance edge features of the SAR imagery. It has been studied to extract the luminance edge features for the ordinary imagery-produced by visible or infrared imaging system The methods using gradient are effectivery for the extraction of the luminance edge features of the ordinary imagery and commonly used. Because the serious noise of coherent speckle exists in the SAR imagery, some people believe that edge extraction using gradient for SAR imagery gives poor results. However in this paper, a rather ideal method is derived for the extraction of luminance edge features for SAR imagery with the consideration of the characteristics of SAR imagery. This method uses the relative average gradient and combines detection with tracking. -
W Xu, Z. Chen. IEE Proceedings. Part F, 136(1989) 1, 29-34.[2]W. K Pratt Digital Image Processing.[J].John Wiley Sons. USA.1978,:-[3]S. C. Giess, Edge Detection In SAR Imagery Using Gradient Operators, RSRE Memo 3743,RSRE Malver. England. 1984. -
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