An improved SAR interferogram denoising method based on principal component analysis and the Goldstein filter-Reference-Cited by-同舟云学术

An improved SAR interferogram denoising method based on principal component analysis and the Goldstein filter

Published:2017-10-31 Issue:1 Volume:9 Page:81-90
ISSN:2150-704X
Container-title:Remote Sensing Letters
language:en
Short-container-title:Remote Sensing Letters

Author:

Wang Bao-Hang¹,Zhao Chao-Ying¹²,Liu Yuan-Yuan¹

Affiliation:

1. School of Geology Engineering and Geomatics, Chang’an University, Xi’an, China

2. National Administration of Surveying, Mapping and Geoinformation, Engineering Research Center of National Geographic Conditions Monitoring, Xi’an, China

Funder

National Natural Science Foundation of China

Excellent innovative team construction program of Chang’an University

National Program on Key Basic Research Project

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Earth and Planetary Sciences (miscellaneous)

Link

https://www.tandfonline.com/doi/pdf/10.1080/2150704X.2017.1392633

Reference19 articles.

1. A modification to the Goldstein radar interferogram filter

2. A Phase-Decomposition-Based PSInSAR Processing Method

3. NL-InSAR: Nonlocal Interferogram Estimation

4. A New Algorithm for Processing Interferometric Data-Stacks: SqueeSAR

5. CAESAR: An Approach Based on Covariance Matrix Decomposition to Improve Multibaseline–Multitemporal Interferometric SAR Processing

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