NDLI: Towards an Ontological Approach for Classifying Remote Sensing Images

Content Provider	IEEE Xplore Digital Library
Author	Andres, S. Arvor, D. Pierkot, C.
Copyright Year	2012
Abstract	Interpretation of satellite images is a complex issue. Remote sensing experts and the maticians interpret and use information contained in satellite images depending on their knowledge and expertise in a given application domain. This knowledge is usually ambiguous and consequently cannot be used in an automatic process. Formalizing expert knowledge thus appears as a prerequisite toward an automatic semantic interpretation of remote sensing images. In computer sciences, ontologies have proven to be efficient for formally expressing remote sensing expert knowledge. This paper aims to demonstrate how expert knowledge explanation via ontologies can improve automation of satellite image exploitation. We argue that ontologies can be used to link this knowledge with the content of remote sensing images by conceptually describing them. For this purpose, we first built an image ontology for describing image segments based on spectral, pseudo-spectral and textural features. Then we used those concepts to build a remote sensing knowledge ontology describing the way experts identify land cover classes in satellite images. Third, image ontology is also used to describe image facts which populate image ontology. We finally tested a concrete application of our approach using an automatic reasoner for classifying remote sensing images.
Starting Page	825
Ending Page	832
File Size	1523143
Page Count	8
File Format	PDF
ISBN	9781467351522
DOI	10.1109/SITIS.2012.124
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-11-25
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Satellites Semantics Ontologies Feature extraction remote sensing Cognition Remote sensing ontologies earth observation satellite images
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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