Share Email Print

Proceedings Paper

De-noising method of InSAR data based on empirical mode decomposition and land deformation monitoring application
Author(s): Li Wang; Fu Chen; Zengke Li; Shaoliang Zhang
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

The applicable choice of filters for InSAR is one of the key procedures, which is associated with the quality of interferogram. The data of InSAR interferogram was decomposed by empirical mode decomposition (EMD). A given signal was decomposed into different Intrinsic Mode Functions (IMFs) filled with the condition. Further investigation of the algorithm is demonstrated below with regard to the multi-resolution standpoint. Empirical mode decomposition includes two operators. The IMF calculation operator and residual calculation operator define the process of similar to high frequency and low frequency filters. Then, the multi-solution structure is realized by decomposing the low frequency step by step. Therefore, the filtered noise-related IMFs together with the other IMFs can be used to restructure the denoised signal. The processing result has confirmed this method feasibility. Comparing the empirical mode decomposition with the general methods, such as median filter, Lee filter, Goldstein filter, using the quantitative evaluation index, i.e., standard deviation (STD) and equivalent number of looks (ENL), the result shows that empirical mode decomposition is powerful to interferogram speckle noise suppression and residues reduction, as well as it can be preserved details information. The method proposed can improve the accuracy of interferometric products.

Paper Details

Date Published: 24 October 2011
PDF: 6 pages
Proc. SPIE 8286, International Symposium on Lidar and Radar Mapping 2011: Technologies and Applications, 82860P (24 October 2011); doi: 10.1117/12.912604
Show Author Affiliations
Li Wang, China Univ. of Mining and Technology (China)
Fu Chen, China Univ. of Mining and Technology (China)
Zengke Li, China Univ. of Mining and Technology (China)
Shaoliang Zhang, China Univ. of Mining and Technology (China)

Published in SPIE Proceedings Vol. 8286:
International Symposium on Lidar and Radar Mapping 2011: Technologies and Applications
Jonathan Li, Editor(s)

© SPIE. Terms of Use
Back to Top