Details
| Original language | English |
|---|---|
| Journal | International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives |
| Volume | 38 |
| Issue number | 4C7 |
| Publication status | Published - 2010 |
| Event | Geographic Object-Based Image Analysis, GEOBIA 2010 - Ghent, Belgium Duration: 29 Jun 2010 → 2 Jul 2010 |
Abstract
This paper introduces a new open source, knowledge-based framework for automatic interpretation of remote sensing images, called InterIMAGE. This framework owns a flexible modular architecture, in which image processing operators can be associated to both root and leaf nodes of the semantic network, which constitutes a differential strategy in comparison to other object-based image analysis platforms currently available. The architecture, main features as well as an overview on the interpretation strategy implemented in InterIMAGE is presented. The paper also reports an experiment on the classification of landforms. Different geomorphometric and textural attributes obtained from ASTER/Terra images were combined with fuzzy logic and drove the interpretation semantic network. Object-based statistical agreement indices, estimated from a comparison between the classified scene and a reference map, were used to assess the classification accuracy. The InterIMAGE interpretation strategy yielded a classification result with strong agreement and proved to be effective for the extraction of landforms.
Keywords
- Fuzzy Logic, InterIMAGE, Remote Sensing, Semantic Network, Semi-Automated Classification
ASJC Scopus subject areas
- Computer Science(all)
- Information Systems
- Social Sciences(all)
- Geography, Planning and Development
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In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, Vol. 38, No. 4C7, 2010.
Research output: Contribution to journal › Conference article › Research › peer review
}
TY - JOUR
T1 - Cognitive approaches and optical multispectral data for semi-automated classification of landforms in a rugged mountainous area
AU - Camargo, F. F.
AU - Almeida, C. M.
AU - Costa, G. A.O.P.
AU - Feitosa, R. Q.
AU - Oliveira, D. A.B.
AU - Ferreira, R. S.
AU - Heipke, C.
PY - 2010
Y1 - 2010
N2 - This paper introduces a new open source, knowledge-based framework for automatic interpretation of remote sensing images, called InterIMAGE. This framework owns a flexible modular architecture, in which image processing operators can be associated to both root and leaf nodes of the semantic network, which constitutes a differential strategy in comparison to other object-based image analysis platforms currently available. The architecture, main features as well as an overview on the interpretation strategy implemented in InterIMAGE is presented. The paper also reports an experiment on the classification of landforms. Different geomorphometric and textural attributes obtained from ASTER/Terra images were combined with fuzzy logic and drove the interpretation semantic network. Object-based statistical agreement indices, estimated from a comparison between the classified scene and a reference map, were used to assess the classification accuracy. The InterIMAGE interpretation strategy yielded a classification result with strong agreement and proved to be effective for the extraction of landforms.
AB - This paper introduces a new open source, knowledge-based framework for automatic interpretation of remote sensing images, called InterIMAGE. This framework owns a flexible modular architecture, in which image processing operators can be associated to both root and leaf nodes of the semantic network, which constitutes a differential strategy in comparison to other object-based image analysis platforms currently available. The architecture, main features as well as an overview on the interpretation strategy implemented in InterIMAGE is presented. The paper also reports an experiment on the classification of landforms. Different geomorphometric and textural attributes obtained from ASTER/Terra images were combined with fuzzy logic and drove the interpretation semantic network. Object-based statistical agreement indices, estimated from a comparison between the classified scene and a reference map, were used to assess the classification accuracy. The InterIMAGE interpretation strategy yielded a classification result with strong agreement and proved to be effective for the extraction of landforms.
KW - Fuzzy Logic
KW - InterIMAGE
KW - Remote Sensing
KW - Semantic Network
KW - Semi-Automated Classification
UR - http://www.scopus.com/inward/record.url?scp=84923974521&partnerID=8YFLogxK
M3 - Conference article
AN - SCOPUS:84923974521
VL - 38
JO - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
JF - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
SN - 1682-1750
IS - 4C7
T2 - Geographic Object-Based Image Analysis, GEOBIA 2010
Y2 - 29 June 2010 through 2 July 2010
ER -