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- W2017119927 abstract "The investigation presented in this paper demonstrates the potential of the combination of polarimetric and interferometric classification techniques for the extraction of map relevant features from space borne SAR data. In the first part we discuss a polarimetric classification technique based on Cloude's decomposition theorem. Afterwards we demonstrate the abilities of interferometric classification. The complementarity of the polarimetric and interferometric coherence based classification approaches can be used to resolve ambiguities that remain if one method is applied alone. The improvements results from their combination are available for an automatic classification and extraction of cartographic relevant features from space borne SAR data." @default.
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- W2017119927 date "1997-12-23" @default.
- W2017119927 modified "2023-09-23" @default.
- W2017119927 title "<title>Interpretation of SAR data using polarimetric and interferometric techniques</title>" @default.
- W2017119927 doi "https://doi.org/10.1117/12.283845" @default.
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