Equation-based InSAR data quadtree downsampling for earthquake slip distribution inversion

Chisheng Wang, Xiaoli Ding, Qingquan Li, Mi Jiang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

12 Citations (Scopus)


Downsampling is a routine step before applying interferometric synthetic aperture radar (InSAR) data to earthquake inversion because of the high computational burden. In this letter, we make use of the matrix perturbation theory to describe the downsampling process, which is considered as matrix perturbation on inversion equation. First, we derive a formula to quantitatively assess the perturbation on the inversion solution caused by data downsampling. Next, we propose an equation-based InSAR data downsampling algorithm to better reduce the perturbation. The experiment with simulated data demonstrates that our new algorithm preserves the most details from full data inversion comparing with previous algorithms. Finally, we use our method to study the slip distribution of the 2008 Mw 6.3 Dangxiong earthquake.
Original languageEnglish
Article number6815638
Pages (from-to)2060-2064
Number of pages5
JournalIEEE Geoscience and Remote Sensing Letters
Issue number12
Publication statusPublished - 1 Jan 2014


  • Earthquake inversion
  • interferometric synthetic aperture radar (InSAR)
  • quadtree downsampling
  • slip distribution

ASJC Scopus subject areas

  • Geotechnical Engineering and Engineering Geology
  • Electrical and Electronic Engineering

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