Polarimetric SAR estimation based on non-local means

Charles Alban Deledalle, Florence Tupin, Loïc Denis

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

Abstract

During the past few years, the non-local (NL) means [1] have proved their efficiency for image denoising. This approach assumes there exist enough redundant patterns in images to be used for noise reduction. We suggest that the same assumption can be done for polari-metric synthetic aperture radar (PolSAR) images. In its original version, the NL means deal with additive white Gaussian noise, but several extensions have been proposed for non-Gaussian noise. This paper applies the methodology proposed in [2] to PolSAR data. The proposed filter seems to deal well with the statistical properties of speckle noise and the multi-dimensional nature of such data. Results are given on synthetic and L-Band E-SAR data to validate the proposed method.

Original languageEnglish
Title of host publication2010 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2010
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2515-2518
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

  • Maximum likelihood
  • Non local means
  • Polarimetric synthetic aperture radar (PolSAR)

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