Title :
A patch-based filter for InSAR interferograms
Author :
Xinglin Li ; Hongjun Song ; Wang, Robert ; Yunfeng Shao ; Runpu Chen
Author_Institution :
Grad. Univ. of Chinese Acad. of Sci., Beijing, China
Abstract :
In this paper, an adaptive patch-based filter for Synthetic aperture Radar (SAR) Interferometric phase in the Fourier transform complex domain is proposed. The proposed filter fully utilizes the properties of locally planar terrain phase noise model so that the noise can be suppressed according to the local level of noise. Moreover, the denoising performance of the proposed filter is further improved by an adaptive selection strategy for patch size. The experimental results show that the proposed method delivers state-of-the-art denoising performance in terms of objective criteria.
Keywords :
Fourier transforms; adaptive filters; image denoising; radar imaging; radar interferometry; synthetic aperture radar; Fourier transform complex domain; InSAR interferograms; SAR interferometric phase; adaptive patch-based filter; adaptive selection strategy; denoising performance; locally planar terrain phase noise model; synthetic aperture radar; Adaptation models; Adaptive filters; Filtering; Fourier transforms; Phase noise; Synthetic aperture radar; Complex phase noise model; Fourier transform domain; Patch-based; Synthetic aperture radar (SAR) Interferometric phase;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
Conference_Location :
Quebec City, QC
DOI :
10.1109/IGARSS.2014.6946418