A non-local approach for SAR and interferometric SAR denoising

Charles Alban Deledalle, Florence Tupin, Loíc Denis

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Recently, non-local approaches have proved very powerful for image denoising. Unlike local filters, the nonlocal (NL) means introduced in [1] decrease the noise while preserving well the resolution. In the proposed paper, we suggest the use of a non-local approach to estimate single-look SAR reflectivity images or to construct SAR interferograms. SAR interferogram construction refers to the joint estimation of the reflectivity, phase difference and coherence image from a pair of two co-registered single-look complex SAR images. The weighted maximum likelihood is introduced as a generalization of the weighted average performed in the NL means. We propose to set the weights according to the probability of similarity which provides an extension of the Euclidean distance used in the NL means. Experiments and results are presented to show the efficiency of the proposed approach.

Original languageEnglish
Title of host publication2010 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2010
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages714-717
Number of pages4
ISBN (Print)9781424495658, 9781424495665
DOIs
Publication statusPublished - 1 Jan 2010
Externally publishedYes
Event2010 30th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2010 - Honolulu, United States
Duration: 25 Jul 201030 Jul 2010

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)

Conference

Conference2010 30th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2010
Country/TerritoryUnited States
CityHonolulu
Period25/07/1030/07/10

Keywords

  • Interferometric synthetic aperture radar (InSAR)
  • Maximum likelihood
  • Non local means

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