An MRF based technique for speckle reduction in SAR images

被引：0

作者：

D'Elia, C ^{[1
]}

Ferraiuolo, G ^{[1
]}

Pascazio, V ^{[1
]}

Schirnzi, G ^{[1
]}

机构：

[1] Univ Cassino, DAEIMI, I-03043 Cassino, Italy

来源：

IGARSS 2004: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM PROCEEDINGS, VOLS 1-7: SCIENCE FOR SOCIETY: EXPLORING AND MANAGING A CHANGING PLANET | 2004年

关键词：

synthetic aperture radar; speckle; Markov random fields; MAP estimation;

D O I：

暂无

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

SAR images are affected by speckle, that affects radiometric resolution and class discrimination capabilities. Recently, different speckle reduction techniques based on Maximum a Posteriori (MAP) estimation have been proven to have very good performances. These techniques are based on the introduction of an a priori statistical model of the speckle free image to be estimated. We propose a MAP method using more than one sub-band filtered intensity images and a Markov Random Field (MRF) a priori model. The method has been experimented on simulated and real images.

引用

页码：4211 / 4214

页数：4

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