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 rem...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 phasebased 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.展开更多
基金This work is supported by the National Natural Science Foundation of China(No.41171321,40871189)the Natural Science Foundation of the Jiangsu Higher Education Institutions of China(No.11KJA420001)+1 种基金the Priority Academic Program Development of Jiangsu Higher Education Institutionsthe Qin Lan Project of Jiangsu,China.
文摘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 phasebased 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.
