Linear features detection in SAR images for urban analysis

Rodrigo C. S. Costa, F. Medeiros
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引用次数: 2

Abstract

This work is concerned with extracting straight lines in SAR image areas for application of urban analysis. The methodology combines the Hough transform and line detector algorithms proposed by Tupin et al. (1998) to extract the main axes in road networks. A real SAR image is used to test the proposed algorithm.
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面向城市分析的SAR图像线性特征检测
本文研究了在SAR图像区域中提取直线的方法,并将其应用于城市分析。该方法结合了Hough变换和Tupin等人(1998)提出的线检测器算法来提取道路网络中的主轴。用一幅真实的SAR图像对该算法进行了验证。
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Spherical maps visualization Texture feature neural classifier for remote sensing image retrieval systems Visualizing inner structures in multimodal volume data Linear features detection in SAR images for urban analysis Towards point-based acquisition and rendering of large real-world environments
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