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Polarimetric Synthetic Aperture Radar (PolSAR) is a valuable remote sensing data source. It is usually challenging to interpret PolSAR data, especially in urban areas, and hense, spatial clustering comes as a powerful tool for the application of PolSAR data. In data clustering, similarity measurement indexes are of great importance. By far, there are quite some similarity measures of PolSAR data....
Urban Scene classification using single source data is massively studied in remote sensing field. However, single source only provides one certain perspective of the complicated urban scene while the fusion of multimodal dataset can provide complementary knowledge. We aim at fusing the spectrum information of the hyperspectral image and the scattering mechanisms of PolSAR data for urban scene classification...
In this paper, we propose an object-based fusion approach for the joint use of polarimetric synthetic aperture radar (PolSAR) and hyperspectral data. The proposed approach extracts information from both datasets based on an object-level, which is used here for land use classification. The achieved classification result infers that the proposed methodology improves the classification performance of...
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