OCCLUSION BOUNDARIES ESTIMATION FROM A HIGH-RESOLUTION SAR IMAGE

Wei Ping He, M. Jägaer, Olaf Hellwich · 2009

Occlusion is the concept that several objects interfere with one another in an image. This phenomenon is preva-lent 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 bound-aries helps to discriminate different objects and localize their extents. An occlusion boundary map also corre-sponds to an efficient figure / ground segmentation, which would be quite promising for further object analysis. This paper applies a hierarchical framework [1] to extract oc-clusion boundaries among different objects, e.g. build-ings and trees. The framework uses Conditional Random Fields to simultaneously reason about the boundaries and segments. Key words: SAR; urban; occlusion; boundary. 1.

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