Data underlying the PhD thesis: SAR IMAGES FOR BENCHMARK DATASET CREATION, URBAN POLYCENTRICITY AND DEFORMATION DYNAMICS
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This dataset includes data used and generated in a PhD research project 'SAR IMAGES FOR BENCHMARK DATASET CREATION, URBAN POLYCENTRICITY AND DEFORMATION DYNAMICS'. The research aimed to: 1) To design a standard framework to generate SAR benchmark datasets. This framework addresses the challenges of aligning radar coordinates with label coordinate systems by defining representative SAR features into three categories according to the feature attributes, e.g., whether these are of single or multi-polarimetric character. Radar-coded geospatial data are transformed using the proposed hybrid radarcoding methods. The quality of the generated datasets is assessed with custom-designed metrics. Effectiveness of the framework is demonstrated through an application in land use and land cover (LULC) classification, a typical machine learning task in remote sensing. 2) To enhance traditional numerical change detection methods for land cover change detection using SAR images. This thesis introduced a novel KI-MM (Kittler and Illingworth with a Modified Model) threshold determination method and a change-type classification approach. This method aims to improve the change …
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