Abstract
In this paper, a new algorithm is proposed for civil airport runway detection in polarimetric synthetic aperture radar (POLSAR) image based on unsupervised classification. First, the contents of POLSAR image are classified into ten categories with scattering characteristics of terrain and Wishart classifier; then suspected airport areas are extracted from classification result based on the power property of terrain; Structural features are used for final detection of the true runway. Experimental results with measured POLSAR data demonstrate the validity of the proposed method which has a high correct detection rate and a low false alarm rate.
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