Small harbor detection in polarimetric SAR images based on coastline feature point merging

LIU Chun; YIN Junjun; YANG Jian

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Journal of Tsinghua University(Science and Technology) ›› 2015, Vol. 55 ›› Issue (8) : 849-853.

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Small harbor detection in polarimetric SAR images based on coastline feature point merging

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Abstract

A method was developed to automatic detect small harbors in polarimetric synthetic aperture radar (polSAR) images using coastline feature point merging based on analyses of structural characteristics of harbors. The coastline is accurately extracted by level set segmentation algorithm of polSAR with the coastline feature points then detected with a split and merge algorithm for digital curves. Then, the algorithm takes advantage of the characteristic that feature points along small harbor contour are denser than those along other coastline contours using a merging algorithm to detect the small harbors. The detection scheme was tested using polarimetric SAR images acquired by RADARSAT-2 over Singapore and the Zhanjiang area of China. The results show that almost all the harbors along the coastline are correctly detected by this method.

Key words

synthetic aperture radar / harbor detection / polarization / level set segmentation / point merge

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LIU Chun, YIN Junjun, YANG Jian. Small harbor detection in polarimetric SAR images based on coastline feature point merging[J]. Journal of Tsinghua University(Science and Technology). 2015, 55(8): 849-853

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