Skip to main content

Multi-patch and centre-expansion algorithms for phase unwrapping of large InSAR images with dense residues

Buy Article:

$55.00 plus tax (Refund Policy)

To recover original full phase values in inherently wrapped output, phase unwrapping has been one of the key techniques in digital image processing. However, to unwrap the phase of a large interferogram with dense residues, a conventional path-following algorithm may produce retrieval errors caused by placing long branch cuts and repetitive connection of residues. In this paper, two unwrapping algorithms, the method of multiple patches connecting opposite residues and the method of centre expansion searching opposite residues, are presented. Some examples of Environmental Satellite (ENVISAT) Advanced Synthetic Aperture Radar (ASAR) datasets demonstrate improvement compared to conventional methods in Interferometric Synthetic Aperture Radar (InSAR) data processing.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Data/Media
No Metrics

Document Type: Research Article

Affiliations: Key Laboratory of Wave Scattering and Remote Sensing Information (MOE), Fudan University, Shanghai, China

Publication date: 2010-03-01

More about this publication?
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more