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Communication Dans Un Congrès Année : 2012

Generation of an urban object oriented morphometry database by remote sensing of Spot 5 panchromatic image

Résumé

This paper presents a methodology of recognition, identification and classification of built objects in a dense urban area by morphometric approach with Spot 5 panchromatic image. The methodology is based on the sequence of image processing: fusion of Laplacian enhancements, intermediate symbolic representation (ISR) method of segmented build-up objects, and unsupervised classification by hierarchical ascending classification from morphometric attributes of each build-up objects extracted by ISR. The intermediate symbolic visualization method generates automatically a vector mapping of segmented buildings and an urban object oriented morphometric database. Each build-up object is morphologically characterized by fifty geometric attributes.
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Dates et versions

hal-01438213 , version 1 (17-01-2017)

Identifiants

  • HAL Id : hal-01438213 , version 1

Citer

Sébastien Gadal. Generation of an urban object oriented morphometry database by remote sensing of Spot 5 panchromatic image. 8th Conference on image information mining, German Aerospace Centre (DLR), Oct 2012, Oberpfaffenhofen, Germany. pp.94-97. ⟨hal-01438213⟩

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