Share Email Print
cover

Proceedings Paper

Using the cognitive platform interimage to identify geomorphological features
Author(s): Gilson Alexandre Ostwald Pedro da Costa; Flávio Fortes Camargo; Dario Augusto Borges Oliveira; Cláudia Maria de Almeida; Raul Queiroz Feitosa; Rodrigo da Silva Ferreira
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper 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.

Paper Details

Date Published: 30 October 2009
PDF: 11 pages
Proc. SPIE 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications, 74981K (30 October 2009); doi: 10.1117/12.833205
Show Author Affiliations
Gilson Alexandre Ostwald Pedro da Costa, Catholic Univ. of Rio de Janeiro (Brazil)
Flávio Fortes Camargo, National Institute for Space Research (Brazil)
Dario Augusto Borges Oliveira, Catholic Univ. of Rio de Janeiro (Brazil)
Cláudia Maria de Almeida, National Institute for Space Research (Brazil)
Raul Queiroz Feitosa, Catholic Univ. of Rio de Janeiro (Brazil)
Rodrigo da Silva Ferreira, Catholic Univ. of Rio de Janeiro (Brazil)


Published in SPIE Proceedings Vol. 7498:
MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications
Faxiong Zhang; Faxiong Zhang, Editor(s)

© SPIE. Terms of Use
Back to Top