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EVALUATION OF TWO REGION BASED CLASSIFICATIONS IN TAPAJOS NATIONAL FOREST USING THE ALOS/PALSAR POLARIMETRIC AND INTERFEROMETRIC COHERENCES

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Autor(es):
Scofield, Graziela Balda ; Dutra, Luciano Vieira ; Freitas, Corina da Costa ; Siqueira Sant Anna, Sidnei Joao ; Andrade Silva, Daniel Luis ; IEEE
Número total de Autores: 6
Tipo de documento: Artigo Científico
Fonte: 2010 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM; v. N/A, p. 4-pg., 2010-01-01.
Resumo

The use of phase information present in complex multi polarized images may increase the classification results. Thus, the coherence is one attribute that may be extracted from these images and used to distinguish some land cover classes. Therefore, its discriminatory capability for land use and land cover classification is analyzed. The analysis is based on the classification results of a region classifier, which needs a segmented image as one input. The influence of this kind of image input is also evaluated using of two segmentation algorithms, the SegSAR and the SPRING region growing. Two ALOS/PALSAR images acquired over Tapajos National Forest in the Brazilian Amazon were classified. The classifications were quantified by the overall accuracy, the kappa values and its variance. The classification improvement using the coherence information with intensity images was noticed for every image set. (AU)

Processo FAPESP: 08/58112-0 - Land use change in Amazonia: institutional analysis and modeling at multiple temporal and spatial scales
Beneficiário:Maria Isabel Sobral Escada
Modalidade de apoio: Auxílio à Pesquisa - Programa de Pesquisa sobre Mudanças Climáticas Globais - Temático
Processo FAPESP: 08/57719-9 - Programa de Mudanças Climáticas - INCT CLIMA
Beneficiário:Carlos Afonso Nobre
Modalidade de apoio: Auxílio à Pesquisa - Programa de Pesquisa sobre Mudanças Climáticas Globais - Temático