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| The Method of ROI Extraction for Vehicle in SAR Image |
| Li Yu①②; Ji Ke-Feng①; Su Yi① |
| ①School of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China; ②Engineering College of Armed Police Forces, Xi’an 710086, China |
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Abstract ROI extraction is the essential technology for target recognition in SAR image. This paper firstly analyses the difficulties of ROI extraction for vehicle in SAR image, presents its key steps and flow chart. And then an adaptive CFAR method for SAR image target detection based on the ordered data variability index (ODVI) is proposed to improve the performance of detection. The discrimination features are calculated to form the statistic of target discrimination. The ROIs can be discriminated by using orderly the features. Finally, the real X band SAR image data is used as test data for this ROI extraction algorithm, and the discriminating results are shown. The performance of this algorithm is good.
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Received: 23 June 2006
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2007, Vol. 29 
