NDLI: An interactive analysis of large scale multi-spectral images using a Hilbert curve

Content Provider	IEEE Xplore Digital Library
Author	Niimi, M. Kamata, S. Kawaguchi, E.
Copyright Year	1995
Description	Author affiliation: Comput. Sci. & Control Course, Nagasaki Inst. of Appl. Sci., Japan (Niimi, M.; Kamata, S.)
Abstract	There have been some new developments of an interactive analysis for the multi-spectral images. Recently the authors have proposed an interactive analysis method for classification using a Hilbert curve which is a one-to-one mapping and takes a neighborhood between N-dimensional space and one-dimensional space into consideration. In order to analyze large scale multi-spectral images, the authors divide a large scale image into subimages which can be analyzed using their proposed method. A problem is that after classifying one of the subimages, how they classify the rest of the subimages using this result effectively. They present a solution of this problem using a tree structure expression. They assign a reliability measure to each pixels on the rest. The reliability measure is based on a distance from a center of a cluster, and the center is considered occurrence information. For the low reliable data, they apply their interactive analysis method for classification again. In the experiment using a LANDSAT image data, they confirmed the effectiveness of the reliability measure because category boundaries on the rest have lower reliability.
Starting Page	1017
Ending Page	1019
File Size	512582
Page Count	3
File Format	PDF
ISBN	0780325672
DOI	10.1109/IGARSS.1995.521125
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1995-07-10
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image analysis Large-scale systems Multispectral imaging Remote sensing Space technology Satellites Hypercubes Computer science Control engineering Displays
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
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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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