Volume XLII-3
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 1135-1139, 2018
https://doi.org/10.5194/isprs-archives-XLII-3-1135-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 1135-1139, 2018
https://doi.org/10.5194/isprs-archives-XLII-3-1135-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

  30 Apr 2018

30 Apr 2018

MT-INSAR LANDSLIDE MONITORING WITH THE AID OF HOMOGENEOUS PIXELS FILTER

X. J. Liu1, C. Y. Zhao1,2,3, B. H. Wang1, and W. F. Zhu1 X. J. Liu et al.
  • 1School of Geology Engineering and Geomatics, Chang’an University, Xi’an 710054, China
  • 2State Key Laboratory of Geo-Information Engineering, Xi’an, 710054, China
  • 3National administration of surveying, mapping and geo-information, Engineering research center of national geographic conditions monitoring, Xi’an, 710054, China

Keywords: Goldstein filter, Homogeneous pixels filter, TerraSAR-X, SBAS, Landslide monitoring

Abstract. SAR interferograms are often contaminated by random noises related to temporal decorrelation, geometrical decorrelation and thermal noises, which makes the fringes obscured and greatly decreases the density of the coherent target and the accuracy of InSAR deformation results, especially for the landslide monitoring in vegetated region and in rainy season. Two different SAR interferogram filtering methods, that is Goldstein filter and homogeneous pixels filter, for one specific landslide are compared. The results show that homogeneous pixels filter is better than Goldstein one for small-scale loess landslide monitoring, which can increase the density of monitoring points. Moreover, the precision of InSAR result can reach millimeter by comparing with GPS time series measurements.