Abstract
The application potential and validity of high-resolution airborne E-SAR polarimetric interferometric SAR (POLinSAR) data for urban land cover extraction and classification are investigated in this paper. The methodology is based on unsupervised maximum likelihood classification of polarimetric, coherence, and phase differentials of POLinSAR data. In particular, the roles of phase differential (polarimetric phase difference (PPD), interferometric phase differential (IPD) across different interferometric combinations, and differential interferometric phase (DIP)) in the identification of urban land covers with vertical structures are addressed. The preliminary results are promising, and, in general, the inclusion of phase differential significantly improves the accuracy of the classification of urban land covers with vertical structures.
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