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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
  • CNRS

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collection › Contribution à une conférence › Revue par des pairs

1 Citation (Scopus)

Résumé

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.

langue originaleAnglais
titre2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas, URBAN 2003
EditeurInstitute of Electrical and Electronics Engineers Inc.
Pages110-114
Nombre de pages5
ISBN (Electronique)0780377192, 9780780377196
Les DOIs
étatPublié - 1 janv. 2003
Evénement2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas, URBAN 2003 - Berlin, Allemagne
Durée: 22 mai 2003 → 23 mai 2003

Série de publications

Nom2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas, URBAN 2003

Une conférence

Une conférence2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas, URBAN 2003
Pays/TerritoireAllemagne
La villeBerlin
période22/05/03 → 23/05/03

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