Change detection in a multitemporal series of radar images

  • Sami Benzid
  • , Charles Deledalles
  • , Riadh Abdelfattah
  • , Ferdaous Chaabane
  • , Florence Tupin

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

Abstract

In the literature, several works are led around the radar images especially the detection of the cartographic objects, the 3D reconstruction and the change detection. Concerning this last application, several techniques compete to ensure the best possible result. In this paper, we aim first at developing an automatic detection procedure to compare between similarity measures. Then we propose a change detection technique based on the fusion of two similarity measures. The first one is the Contrast (C) measure [1] and the second one is the Rayleigh Distribution Ratio (RDR) measure [2]. The proposed method has been validated on simulated data and then applied on three radar images.

Original languageEnglish
Title of host publication2010 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2010
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1473-1476
Number of pages4
ISBN (Print)9781424495658, 9781424495665
DOIs
Publication statusPublished - 1 Jan 2010
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

  • Automatic change detection
  • Contrast measure
  • Etc
  • Rayleigh Distribution Ratio
  • Similarity measures

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