檢測(cè)SAR圖像中徑向慢速動(dòng)目標(biāo)
Detecting Radial Moving Ground Targets from SAR Image
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摘要: 該文提出了一種從SAR圖像中檢測(cè)徑向勻速動(dòng)目標(biāo)的方法,將SAR圖像信號(hào)在頻域分為正頻部分和負(fù)頻部分,靜止背景的正負(fù)頻分布對(duì)稱,而徑向動(dòng)目標(biāo)的多普勒質(zhì)心與靜止背景相比有一頻移,信號(hào)在正負(fù)頻域能量分布不對(duì)稱。將分開(kāi)的正負(fù)頻域信號(hào)分別回到時(shí)域成像,計(jì)算這兩幅復(fù)圖像對(duì)應(yīng)位置的模差絕對(duì)值,可對(duì)消靜止背景,突顯出徑向動(dòng)目標(biāo)。仿真數(shù)據(jù)表明本算法有效。Abstract: This paper is proposes to detecting radial moving ground targets from SAR image. Radical moving targets have focused image just as fixed ground clutters. The algorithm for detection and parameter estimation of radical targets has three steps. The first step isolates the SAR image frequency spectrum to positive band and negative band, then uses IFFT transform to reform two images. The second step subtracts the two-look image amplitude, It offers an approach of suppressing ground clutters and simultaneously indicating the true location of the slant-range moving target image. Finally the radical ground speed of the moving target is carried out by the estimating its Doppler centroid. This combined method is implemented by using real clutter data combined with simulated moving targets. Typical computer results are presented, which illustrate this technique's availability.
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