Object-Based Analysis and ASTER/Terra Data for Classifying Relief Units

FLÁVIO FORTES CAMARGO, TERESA GALLOTTI FLORENZANO, CLÁUDIA MARIA DE ALMEIDA, CLEBER GONZALES DE OLIVEIRA, RAUL QUEIROZ FEITOSA

Abstract


The aim of this research is to develop an object-based methodology for semi-automatic mapping of relief units. The study area is the municipality of São José dos Campos, located in São Paulo State, Brazil. For this end, a multilevel hierarchical semantic network (meant for the storage and reproduction of expert knowledge) together with fuzzy logic and a set of multispectral, geomorphometric and textural variables were used. The geomorphometric and textural variables were extracted from a DEM, obtained from a stereo pair of ASTER/Terra images. The DEM altimetric accuracy was evaluated. The validation of the final relief units map was accomplished by means of object-based statistical indices derived from an error matrix, obtained by means of a comparison between the classified scene and a reference map. This reference map was produced from a visual interpretation of the stereoscopic images. Based on the obtained results, the object-based approach has shown to be a suitable method for relief units mapping.


Keywords


Geomorfologia; Sensoriamento Remoto; Processamento digital de imagens; Segmentação multiresolução; Redes semânticas; Lógica nebulosa.



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