NDLI: Object-oriented per-parcel land use classification of very high resolution images

Content Provider	IEEE Xplore Digital Library
Author	Kressler, F.P. Bauer, T.B. Steinnocher, K.T.
Copyright Year	2001
Description	Author affiliation: Environ. Planning Dept., Austrian Res. Centre, Seibersdorf, Austria (Kressler, F.P.)
Abstract	The traditional method to gain information on land use in urban areas is based on the visual interpretation of very high resolution aerial photographs; a process which is both time consuming and expensive. Very high resolution satellite data are an alternative for updating and maintaining cartographic and geographic data bases. If the full potential of the new image data is to be realized for urban land use mapping, new inferential remote-sensing analysis tools need to be applied. This is because urban land use is an abstract concept which is defined in terms of function rather than form. This paper investigates the potential of an object-oriented classification approach to discriminate between different urban land use categories from panchromatic and multispectral IKONOS-2 data, covering parts of the City of Vienna. In order to validate the results, the classification was compared with a land use data set created by the City Council of Vienna (MA-41) on the basis of orthophotos.
Sponsorship	IEEE/Geosci. & Remote Sensing Soc.
Starting Page	164
Ending Page	167
File Size	594234
Page Count	4
File Format	PDF
ISBN	0780370597
DOI	10.1109/DFUA.2001.985866
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2001-11-08
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image resolution Spatial resolution Cities and towns Satellites Remote sensing Urban areas Multispectral imaging Image analysis Councils Object recognition
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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