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Author(s):
Wang, Yuanyuan; Zhu, Xiao Xiang 
Title:
The Robust InSAR Optimization Framework with Application to Monitoring Cities on Volcanoes 
Abstract:
This paper introduces the Robust InSAR Optimization (RIO) framework to the multi-pass InSAR techniques, such as PSI, SqueeSAR and TomoSAR whose current optimal estimators were derived based on the assumption of Gaussian distributed stationary data, with seldom attention towards their robustness. The {RIO} framework effectively tackles two common problems in the multi-pass InSAR techniques: 1. treatment of images with bad quality, especially those with large uncompensated atmospheric phase, and...    »
 
Keywords:
peer_review 
Journal title:
Proceedings of Joint Urban Remote Sensing Event (JURSE) 
Year:
2015 
Notes:
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