IEEE - Institute of Electrical and Electronics Engineers, Inc. - Covariance-based texture description from weighted coherency matrix and gradient tensors for polarimetric SAR image classification

2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

Author(s): Minh-Tan Pham ; Gregoire Mercier ; Julien Michel
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 July 2015
Conference Location: Milan, Italy
Conference Date: 26 July 2015
Page(s): 2,469 - 2,472
ISBN (Electronic): 978-1-4799-7929-5
ISBN (USB): 978-1-4799-7928-8
DOI: 10.1109/IGARSS.2015.7326310
Regular:

The present paper proposes a texture-based unsupervised classification algorithm for fully polarimetric SAR (PolSAR) images. Here, the main motivation is to combine polarimetric information and... View More

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