Using the cognitive platform interimage to identify geomorphological features

Gilson Alexandre Ostwald Pedro da Costa; Flávio Fortes Camargo; Dario Augusto Borges Oliveira; Cláudia Maria de Almeida; Raul Queiroz Feitosa; Rodrigo da Silva Ferreira

doi:10.1117/12.833205

30 October 2009 Using the cognitive platform interimage to identify geomorphological features

Gilson Alexandre Ostwald Pedro da Costa, Flávio Fortes Camargo, Dario Augusto Borges Oliveira, Cláudia Maria de Almeida, Raul Queiroz Feitosa, Rodrigo da Silva Ferreira

Author Affiliations +

Proceedings Volume 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications; 74981K (2009) https://doi.org/10.1117/12.833205
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

Abstract

This paper introduces a new open source, knowledge-based platform for automatic image interpretation called InterIMAGE. The architecture, main features as well as an overview on the interpretation strategy implemented in InterIMAGE is presented. The paper also reports an experiment based on a Geomorphology application. The experiment's objective was the automatic identification of geomorphological features using a knowledge model that considered a set of textural and geomorphometric variables extracted from a digital elevation model obtained from a pair of stereoscopic ASTER/Terra images. The experiment's results showed a strong agreement between the automatically classified scene and a reference map. A similar experiment was carried out with a commercial, image interpretation software - Definiens Professional -, and the results attained with both software packages were comparable.

Citation Download Citation

Gilson Alexandre Ostwald Pedro da Costa, Flávio Fortes Camargo, Dario Augusto Borges Oliveira, Cláudia Maria de Almeida, Raul Queiroz Feitosa, and Rodrigo da Silva Ferreira "Using the cognitive platform interimage to identify geomorphological features", Proc. SPIE 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications, 74981K (30 October 2009); https://doi.org/10.1117/12.833205

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