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Classification of X-band high resolution SAR images over urban areas: Markovian segmentation using Mellin transform

  • Centre National d'études Spatiales
  • Centre national de la recherche scientifique

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

This paper presents a classification method devoted to high-resolution SAR amplitude images over dense urban areas. The classification method is based on a statistical approach involving a Markovian segmentation process. Our contribution is the introduction of Fisher distributions to fit urban area statistics at best. This implies the use of second kind statistics at best. This implies the use of second kind statistics built upon Mellin transform. The estimation process and the Markovian process are described here. Our goal is both to explain how these distributions can be used in a classification process and to discuss some results. The theory is explained and its validity regarding our data is presented. Then the discussion focuses on the application of this theory to real data.

Original languageEnglish
Title of host publication2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas, URBAN 2003
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages110-114
Number of pages5
ISBN (Electronic)0780377192, 9780780377196
DOIs
Publication statusPublished - 1 Jan 2003
Event2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas, URBAN 2003 - Berlin, Germany
Duration: 22 May 2003 → 23 May 2003

Publication series

Name2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas, URBAN 2003

Conference

Conference2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas, URBAN 2003
Country/TerritoryGermany
CityBerlin
Period22/05/03 → 23/05/03

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