The Joint Filtering Method Of Multibaseline InSAR In NSST Domain Based On Kurtosis

Konferenz: EUSAR 2021 - 13th European Conference on Synthetic Aperture Radar
29.03.2021 - 01.04.2021 in online

Tagungsband: EUSAR 2021

Seiten: 5Sprache: EnglischTyp: PDF

Liu, Yanfang (The School of Electronic and Information Engineering, Beihang University, Beijing, China)
Li, Shiqiang; Zhang, Heng (Department of Space Microwave Remote Sensing System, Aerospace Information Research Institute, Beijing, China)

This paper presents a joint filtering method of multi-baseline interferometric synthetic aperture radar(InSAR) based on kurtosis and non-subsampled shearlet transform(NSST). An empirical assumption for kurtosis of interferometric phase: the kurtosis of interferograms with different baselines keeps constant, is proposed and proved by simulated experiments. On this foundation, the noise level estimation of nature images is extended to multi-baseline InSAR. The filtered interferograms are obtained by three steps: NSST decomposition, soft thresholding shrinkage with estimated noise variance and inverse NSST. Experiments on simulated and real data show the excellently comprehensive performance of the proposed method.