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Remote Sens. 2017, 9(6), 579; doi:10.3390/rs9060579

High-Rise Building Layover Exploitation with Non-Local Frequency Estimation in SAR Interferograms

School of Geosciences and Info-Physics, Central South University, Changsha 410083, China
Department of Land Surveying and Geo-Informatics, Hong Kong Polytechnic University, Hong Kong, China
Author to whom correspondence should be addressed.
Academic Editors: Zhong Lu and Prasad S. Thenkabail
Received: 22 May 2017 / Revised: 22 May 2017 / Accepted: 7 June 2017 / Published: 10 June 2017
(This article belongs to the Section Remote Sensing in Geology, Geomorphology and Hydrology)
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The wide application of high-resolution SAR data, such as TanDEM-X and TerraSAR-X, has resulted in an increase of the data processing difficulty of interferograms, especially in urban areas with serious layovers caused by high-rise buildings. In this paper, a new method based on frequency estimation is proposed to extract and compensate the building layover phase without considering the building structure. We use a non-local algorithm to estimate the high-accuracy frequency in the range direction, which is utilized to extract the layover areas of a building. Then, a two-step method for estimating local frequencies is used for layover phase removal. Efficient frequency estimation and building extraction is demonstrated on real data in comparison with traditional methods. The results of the removal approach with both simulated and real TanDEM-X and TerraSAR-X images are presented to prove the potential of the method. View Full-Text
Keywords: InSAR; building layover; local frequency; non-local InSAR; building layover; local frequency; non-local

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Zhu, J.; Ding, X.; Li, Z.; Zhu, J.; Xu, B. High-Rise Building Layover Exploitation with Non-Local Frequency Estimation in SAR Interferograms. Remote Sens. 2017, 9, 579.

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