NDLI: Object-based contextual image classification built on image segmentation

Content Provider	IEEE Xplore Digital Library
Author	Blaschke, T.
Copyright Year	2004
Description	Author affiliation: Dept. of Geogr. & Geoinformatics, Univ. of Salzburg, Austria (Blaschke, T.)
Abstract	The continuously improving spatial resolution of remote sensing sensors sets new demand for applications utilizing this information. The need for the more efficient extraction of information from high resolution RS imagery and the seamless integration of this information into Geographic Information System (GIS) databases is driving geo-information theory, and methodology, into new territory. As the dimension of the ground instantaneous field of view (GIFOV), or pixel size, decreases many more fine landscape features can be readily delineated, at least visually. The challenge has been to produce proven man-machine methods that externalize and improve on human interpretation skills. Some of the most promising results come from the adoption of image segmentation algorithms and the development of so-called object-based classification methodologies. This paper builds on a discussion of different approaches to image segmentation techniques and demonstrates through several applications how segmentation and object-based methods improve on pixel-based image analysis/classification methods. In contrast to pixel-based procedure, image objects can carry many more attributes than only spectral information. In this paper, I address the concepts of object-based image processing, and present an approach that integrates the concept of object-based processing into the image classification process. Object-based processing not only considers contextual information but also information about the shape of and the spatial relations between the image regions.
Starting Page	113
Ending Page	119
File Size	3803620
Page Count	7
File Format	PDF
ISBN	0780383508
DOI	10.1109/WARSD.2003.1295182
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-10-27
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Geographic Information Systems Image resolution Image databases Spatial databases Data mining Spatial resolution Pixel Remote sensing Image classification
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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