Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/48668
Title: Multispectral cooperative partition sequence fusion for joint classification and hierarchical segmentation
Authors: Calderero, Felipe
Eugenio, Francisco 
Marcello, Javier 
Marques, Ferran
UNESCO Clasification: 250616 Teledetección (Geología)
Keywords: Image Segmentation
Image region analysis
multispectral images
region merging
information fusion
Issue Date: 2012
Publisher: 1545-598X
Journal: IEEE Geoscience and Remote Sensing Letters 
Abstract: In this letter, a region-based fusion methodology is presented for joint classification and hierarchical segmentation of specific ground cover classes from high-spatial-resolution remote sensing images. Multispectral information is fused at the partition level using nonlinear techniques, which allows the different relevance of the various bands to be fully exploited. A hierarchical segmentation is performed for each individual band, and the ensuing segmentation results are fused in an iterative and cooperative way. At each iteration, a consensus partition is obtained based on information theory and is combined with a specific ground cover classification. Here, the proposed approach is applied to the extraction and segmentation of vegetation areas. The result is a hierarchy of partitions with the most relevant information of the vegetation areas at different levels of resolution. This system has been tested for vegetation analysis in high-spatial-resolution images from the QuickBird and GeoEye satellites.
URI: http://hdl.handle.net/10553/48668
ISSN: 1545-598X
DOI: 10.1109/LGRS.2012.2188776
Source: IEEE Geoscience and Remote Sensing Letters[ISSN 1545-598X],v. 9 (6177220), p. 1012-1016
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