A novel multitemporal insar model for joint estimation of deformation rates and orbital errors

Lei Zhang, Xiaoli Ding, Zhong Lu, Hyungsup Jung, Jun Hu, Guangcai Feng

Research output: Contribution to journalArticlepeer-review

52 Scopus citations

Abstract

Orbital errors, characterized typically as longwavelength artifacts, commonly exist in interferometric synthetic aperture radar (InSAR) imagery as a result of inaccurate determination of the sensor state vector. Orbital errors degrade the precision of multitemporal InSAR products (i.e., ground deformation). Although research on orbital error reduction has been ongoing for nearly two decades and several algorithms for reducing the effect of the errors are already in existence, the errors cannot always be corrected efficiently and reliably. We propose a novel model that is able to jointly estimate deformation rates and orbital errors based on the different spatialoral characteristics of the two types of signals. The proposed model is able to isolate a long-wavelength ground motion signal from the orbital error even when the two types of signals exhibit similar spatial patterns. The proposed algorithm is efficient and requires no ground control points. In addition, the method is built upon wrapped phases of interferograms, eliminating the need of phase unwrapping. The performance of the proposed model is validated using both simulated and real data sets. The demo codes of the proposed model are also provided for reference. © 2013 IEEE.
Original languageEnglish (US)
Pages (from-to)3529-3540
Number of pages12
JournalIEEE Transactions on Geoscience and Remote Sensing
Volume52
Issue number6
DOIs
StatePublished - Jun 2014

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Earth and Planetary Sciences(all)

Fingerprint Dive into the research topics of 'A novel multitemporal insar model for joint estimation of deformation rates and orbital errors'. Together they form a unique fingerprint.

Cite this