Classification of multi-look polarimetric SAR imagery based on complex Wishart distribution
作者:
J. S. LEE,
M. R. GRUNES,
R. KWOK,
期刊:
International Journal of Remote Sensing
(Taylor Available online 1994)
卷期:
Volume 15,
issue 11
页码: 2299-2311
ISSN:0143-1161
年代: 1994
DOI:10.1080/01431169408954244
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
Multi-look polarimetric SAR (synthetic aperture radar) data can be represented either in Mueller matrix form or in complex covariance matrix form. The latter has a complex Wishart distribution. A maximum likelihood classifier to segment polarimetric SAR data according to terrain types has been developed based on the Wishart distribution. This algorithm can also be applied to multifrequency multi-look polarimetric SAR data, as well as 10 SAR data containing only intensity information. A procedure is then developed for unsupervised classification.
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