MAXIMUM LIKELIHOOD TEXTURE TRACKING IN HIGHLY HETEROGENEOUS POLSAR CLUTTER

被引：0
|
作者：
Harant, Olivier [1 ,2 ]
Bombrun, Lionel [1 ]
Vasile, Gabriel [1 ]
Ferro-Famil, Laurent [2 ]
Gay, Michel [1 ]
机构：
[1] Grenoble INP, CNRS, GIPSA Lab DIS SIGMAPHY, Grenoble Image sPeech Signal Automat Lab, 961 Rue Houille Blanche,BP 46, F-38402 Grenoble, France
[2] Univ Rennes 1, CNRS, IETR SAPHIR, Inst Elect & Telecommun Rennes, F-35042 Rennes, France
来源：
2010 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM | 2010年
关键词：
D O I：
10.1109/IGARSS.2010.5654061
中图分类号：
P [天文学、地球科学];
学科分类号：
07 ;
摘要：
This paper introduces a generalisation of the conventional Maximum Likelihood (ML) texture tracking algorithm in the context of highly heterogeneous PolSAR clutter. The statistical criterion is defined in both uncorrelated and correlated texture cases. Some results on simulated data are computed and an application on temperate glaciers velocity estimation is processed. Finally, some additional improvements are performed: an adaptative sliding windows is set and a basic Bayes inference for flow model constraint is added.
引用
收藏
页码：4031 / 4034
页数：4
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