Airport Detection in SAR Images Via Salient Line Segment Detector and Edge-Oriented Region Growing

Airport detection in synthetic aperture radar (SAR) images has attracted much concern the field of remote sensing. Affected by other salient objects with geometrical features similar to those airports, traditional methods often generate false detections. In order produce airports and suppress influence irrelevant objects, we propose a novel method for airport SAR images. First, line segment detector is constructed extract segments Second, obtain support regions grouping these according commonality features. Finally, design an edge-oriented region growing (EORG) algorithm, where seeds are selected from help edge information Using EORG, can be mapped performing seeds. We implement experiments on real validate effectiveness our method. The experimental results demonstrate that acquire more accurate locations contours than several state-of-the-art algorithms.