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DESPECKLING POLSAR IMAGES BASED ON RELATIVE TOTAL VARIATION MODEL

Authors :
C. Jiang
X. F. He
L. J. Yang
J. Jiang
D. Y. Wang
Y. Yuan
Source :
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-3, Pp 641-644 (2018)
Publication Year :
2018
Publisher :
Copernicus Publications, 2018.

Abstract

Relatively total variation (RTV) algorithm, which can effectively decompose structure information and texture in image, is employed in extracting main structures of the image. However, applying the RTV directly to polarimetric SAR (PolSAR) image filtering will not preserve polarimetric information. A new RTV approach based on the complex Wishart distribution is proposed considering the polarimetric properties of PolSAR. The proposed polarization RTV (PolRTV) algorithm can be used for PolSAR image filtering. The L-band Airborne SAR (AIRSAR) San Francisco data is used to demonstrate the effectiveness of the proposed algorithm in speckle suppression, structural information preservation, and polarimetric property preservation.

Details

Language :
English
ISSN :
16821750 and 21949034
Volume :
XLII-3
Database :
Directory of Open Access Journals
Journal :
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Publication Type :
Academic Journal
Accession number :
edsdoj.8b2e08b947444ace8b68d8aa7c3bdf5d
Document Type :
article
Full Text :
https://doi.org/10.5194/isprs-archives-XLII-3-641-2018