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LIDAR (Light Detection and Ranging) is an especially effective tool for acquiring geo-referenced point clouds of urban site. Accurate extraction of elevated features such as building rooftops is vitally important in various applications. However, it is still challenging to determine an accurate rooftop contour from the irregularly distributed LIDAR point clouds. In this paper an efficient LIDAR segmentation...
A novel unsupervised, non-Guassian and contextual clustering algorithm for segmentation of polarimetric SAR images has been presented in [1]. This represents one of the most advanced PolSAR unsupervised statistical segmentation algorithm and uses the doubly flexible, two parameter, U-distribution model for the PolSAR statistics. However complexity of the probability density function leads to high...
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