用于自动检测小/薄特征的散斑减少滤波器的评估[在SAR图像中]

T. Sakurai-Amano, J. Iisaka
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引用次数: 2

摘要

评估了几种散斑减少滤波器在提取SAR图像中的小/薄特征方面的有效性。该滤波器对观测图像的各种明暗特征进行了测试,而不是模拟图像。过滤器需要保持特征与其直接背景之间的对比度,以及减少图像中的斑点。基于测试结果,作者发现Small Feature Preserving (SFP)滤波器最适合提取亮特征,Sigma滤波器最适合提取暗特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessment of speckle reduction filters for automatic detection of small/thin features [in SAR images]
Evaluates the effectiveness of several speckle reduction filters in extracting small/thin features in SAR images. The filters were tested on various types of bright and dark features in observed images instead of simulated images. The filters were required to preserve contrast between the feature and its immediate background, as well as reduce speckle in the image. Based on the results of the tests, the authors found that the Small Feature Preserving (SFP) filter was best for extracting bright features, and that the Sigma filter was best for extracting dark features.
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