文章基本信息

标题：Straight line detection from remote sensing images by rule-based feature fusion
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作者：Min WANG ; Qingfeng ZHANG
期刊名称：Geo-spatial Information Science
印刷版ISSN：1009-5020
电子版ISSN：1993-5153
出版年度：2012
卷号：15
期号：1
页码：11-16
DOI：10.1080/10095020.2012.708146
出版社：Taylor and Francis Ltd
摘要：Straight line detection is a fundamental problem in target recognition from remote sensing images since many man-made objects have straight boundaries. In this study, an integrated straight line detection method for remote sensing images is proposed. In this method, the edge-based straight lines are extracted using a chain code tracing method and the phase-based straight lines are extracted using a phase grouping method. The two types of lines are combined using a rule-based feature fusion method by removing redundant line extraction. Since this method integrates the specialties of edge- and phase-based straight line detection methods, it can detect straight lines from remote sensing images with high correctness and robustness.
关键词：straight line detection; edge; gradient phase; remote sensing image