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This paper presents a classification framework for extracting buildings from polarimetric SAR (PolSAR) data. Buildings in SAR data are generally composed of layover and shadow regions. First, mean shift bottom-up segmentation approach divides a SAR image into small homogeneous patches. Then conditional random fields (CRF) framework is applied to classify(More)
Occlusion is the concept that several objects interfere with one another in an image. This phenomenon is prevalent in high resolution Synthetic Aperture Radar (SAR) images in urban areas. Geometric contents, which enable us to analyze occlusion, are partially observable in high resolution SAR images. Estimation of occlusion boundaries helps to discriminate(More)
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