Line segment detection of urban area in SAR images based on improved gray Hough transform

Haiyang Wang; Xiaoyu Zhang; Y. Bai; Delu Pan

doi:10.1117/12.627466

12 October 2005 Line segment detection of urban area in SAR images based on improved gray Hough transform

Haiyang Wang, Xiaoyu Zhang, Y. Bai, Delu Pan

Proceedings Volume 5980, SAR Image Analysis, Modeling, and Techniques VII; 59800M (2005) https://doi.org/10.1117/12.627466
Event: SPIE Remote Sensing, 2005, Bruges, Belgium

Abstract

As one of important applications in Synthetic Aperture Radar (SAR) images, the recognition of urban area has received considerable attentions in remote sensing. The extraction of line segment is very critical technology to recognize the urban area because many objects such as streets and buildings are line segment. The common method to extract line segment is Hough transform, but most of the previous methods are based on binary images. So we have to select a threshold to binarizate the image, but at most time we can not determine the threshold properly, resulting in the lost of useful information. To solve the problem, an improved Hough transform algorithm on gray level, which can make the extraction of line segment independent of the noise and the length of line segment, is proposed. The approach is validated by the analysis of SAR images.

Citation Download Citation

Haiyang Wang, Xiaoyu Zhang, Y. Bai, and Delu Pan "Line segment detection of urban area in SAR images based on improved gray Hough transform", Proc. SPIE 5980, SAR Image Analysis, Modeling, and Techniques VII, 59800M (12 October 2005); https://doi.org/10.1117/12.627466

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