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SAR图像组合降斑算法 被引量:8

Compounding Reconstruction for Synthetic Aperture Radar Images
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摘要 SAR图像存在较强的相干斑点噪声 ,严重的影响了地物信息的提取与SAR图像的应用效果 ,作者在研究分析斑点噪声产生机理以及统计特性的基础上 ,提出了一种组合降斑重构算法 ,该算法与降斑重构性能优异的模拟退火算法降斑重构性能相当 ,但极大的减少了计算代价 ;与许多其它SAR降斑算法相比 ,组合降斑重构算法具有很好的降斑以及场景结构保持性能 。 Synthetic aperture radar (SAR) images are usually corrupted by strongly speckle noise, which blocks scene information abstracting and the application of SAR images. A combination despeckle reconstruction algorithm is proposed based on generation principles and statistic characters of speckle noise. The despeckle and reconstruction performance of this algorithm is as good as simulated annealing algorithm, but it reduces the computation cost and still has excellent despeckle and scene structure keeping performance. It is a practical algorithm for SAR image reconstruction.
出处 《电子学报》 EI CAS CSCD 北大核心 2004年第3期363-367,共5页 Acta Electronica Sinica
关键词 合成孔径雷达 SAR图像 组合降斑重构算法 自适应 模拟退火 斑点噪声 雷达图像处理 Algorithms Image quality Image reconstruction Image segmentation Simulated annealing
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参考文献12

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