Straight line detection from remote sensing images by rule-based feature fusion

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.