Multi-temporal InSAR data fusion for investigating mining subsidence

Q. Sun, Z. W. Li, Xiaoli Ding, J. J. Zhu, J. Hu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

2 Citations (Scopus)

Abstract

Differental Interferometric synthetic aperture radar (DInSAR) has been proved an important technique for monitoring mining subsidence. However, it is difficult to obtain the robust deformation results by exploiting a single interferogram due to spatial-temporal decorrelation and atmospheric artifacts. In this paper, a multi-temporal InSAR technique is described and applied to derive the time series surface displacements of the mining area in Henan, China. The retrieved ground deformation sequences agree well with the development of the coal mining. The results demonstrate that multi-temporal InSAR data fusion approach is more suitable to investigate mining subsidence than conventional DInSAR technology.
Original languageEnglish
Title of host publication2011 International Symposium on Image and Data Fusion, ISIDF 2011
DOIs
Publication statusPublished - 17 Oct 2011
Event2011 International Symposium on Image and Data Fusion, ISIDF 2011 - Tengchong, Yunnan, China
Duration: 9 Aug 201111 Aug 2011

Conference

Conference2011 International Symposium on Image and Data Fusion, ISIDF 2011
CountryChina
CityTengchong, Yunnan
Period9/08/1111/08/11

Keywords

  • InSAR
  • mining subsidence
  • multi-temporal
  • PALSAR
  • small baseline

ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Vision and Pattern Recognition

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