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This paper presents a novel unsupervised image classification method for polarimetric synthetic aperture radar (PolSAR) data. The proposed method is based on a discriminative clustering framework that explicitly relies on a discriminative supervised classification technique to perform unsupervised clustering. To implement this idea, we design an energy function for unsupervised PolSAR image classification...
Feature extraction is an important method to obtain remote sensing image information. It has significant influence on recognition, analysis, matching, fusion, segmentation of remote sensing image. Image registration is usually classified into two categories: the intensity-based method and the feature-based method. The corner-point is one of the basic features of the images, which has many information...
The subpixel mapping technique can obtain a fine-resolution map of target classes in the hyperspectral remote sensing image based on the spatial dependence. In recent years, the subpixel mapping methods based on Maximum A Posterior framework and Total Variation prior (MAP-TV) has received extensive attention because of its unified framework. However, due to the inherent nonlinearity of the TV prior,...
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