A Polarimetric Classification Method Based on Neumann Decomposition

A Polarimetric Classification Method Based on Neumann Decomposition

Apolarimetric SAR classification method is proposed in this paper. We can distinguish the morphology characteristic and do initial classification using anisotropy and orientation randomness. After that, Wishart distance is used to iteratively classify. E-SAR L band, SIR-C/X-SAR L band and SIR-C/X-SA...

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Veröffentlicht in:Geomatics and Information Science of Wuhan University 2015-05, Vol.40 (5), p.607-611
Hauptverfasser: Fu, Haiqiang, Wang, Changcheng, Zhu, Jianjun, Xie, Qinghua, Zhao, Rong
Format: Artikel
Sprache:chi ; eng
Schlagworte:
Anisotropy
C band
Classification
Decomposition
Orientation
Randomness
Universities
Vegetation
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Zusammenfassung:Apolarimetric SAR classification method is proposed in this paper. We can distinguish the morphology characteristic and do initial classification using anisotropy and orientation randomness. After that, Wishart distance is used to iteratively classify. E-SAR L band, SIR-C/X-SAR L band and SIR-C/X-SAR C band polarimetric data of Oberpfaffenhofen, Germany are employed to test the new method. The results demonstrate that the result of new method is better than the results of Freeman-Duren and Yamaguchi for vegetation area.
ISSN:1671-8860
DOI:10.13203/j.whugis20130372