摘要： 分析了SAR图像中机场成像的特点，并根据分析得出的机场SAR成像知识，提出了一种新的SAR图像机场提取方法。该方法利用SAR图像机场目标回波弱的特性，对模糊C-均值聚类方法进行改善，并运用改善后的方法进行机场分割，利用Hough变换和区域增长对分割后的图像进行机场提取，定义了“区域对比度”，利用SAR图像机场目标和其周围具有高区域对比度的知识，消除提取后的机场所附带的噪声。试验证明，这种新的方法可以得到很好的提取结果，能够满足SAR图像机场提取的要求。

关键词: SAR, Hough变换, 区域增长, 区域对比度

Abstract: The characteristic of airport in the SAR image is analyzed here and a new method for airport extraction from SAR image is created. In the process of the extraction of the new method, it takes the advantage of the knowledge of the feeble back wave of the airport surface. And it improves the fuzzy C-Means(FCM) clustering and uses the improved clustering to segment the airport. It extracts the airport by means of the Hough transform and region growing. Lastly it defines the contrast of gray scale of region(CGSR) and utilizes the knowledge of high value of CGSR between the airport and the circumference of the airport to remove the noise in the extracted airport. It is proved by the tests that the new method given here can well extract the airport and meet the requirements of the airport extraction.

Key words: SAR, Hough transform, region growing, contrast of gray scale of region

中图分类号: 

• TP391.41