Raster processing framework for OrbisGIS

Abstract : This poster presents the definition and the implementation of a Framework with the purpose to process big raster images. It uses a tiling system based on Java Advanced Imaging API. The Framework was designed so as to be completely transparent for the user who doesn't have to deal with the management of these tiles. This poster shows an use case of a urban classification of Nantes in 3 different years : 1993, 2000 and 2004.The processing schema has been divided in 4 main steps :- cropping the original images to the desired region,- re sampling all the images so they have the same resolution,- applying a supervised classification algorithm- use of statistical algorithm over a vectorial layer of the city to study the land cover changes.
Document type :
Poster communications
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https://halshs.archives-ouvertes.fr/halshs-01094343
Contributor : Gwendall Petit <>
Submitted on : Friday, December 12, 2014 - 10:35:16 AM
Last modification on : Tuesday, May 7, 2019 - 6:30:10 PM

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  • HAL Id : halshs-01094343, version 1

Citation

Felipe Quintella Correira, Gwendall Petit. Raster processing framework for OrbisGIS. Open Source Geospatial Research Symposium 2009, Jul 2009, Nantes, France. 2009, ⟨http://2009.ogrs-community.org/⟩. ⟨halshs-01094343⟩

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