NDLI: Multiresolution Remote Sensing Image Clustering

Content Provider	IEEE Xplore Digital Library
Author	Wemmert, C. Puissant, A. Forestier, G. Gancarski, P.
Copyright Year	2004
Abstract	With the multiplication of satellite images with complementary spatial and spectral resolution, a major issue in the classification process is the simultaneous use of several images. In this context, the objective of this letter is to propose a new method which uses information contained in both spatial resolutions. The main idea is that on one hand, the semantic level associated with an image depends on its spatial resolution, and on the other hand, information given by these images is complementary. The goal of this multiresolution image method is to automatically build a classification using knowledge extracted from both images, by unsupervised way and without preprocessing image fusion. The method is tested by using a Quickbird (2.8 m) and a SPOT-4 (20 m) image on the urban area of Strasbourg (France). The experiments have shown that the results are better than a classical unsupervised classification on each image and comparable to a supervised region-based classification on the high-spatial-resolution image.
Sponsorship	IEEE Geoscience and Remote Sensing Society
Starting Page	533
Ending Page	537
Page Count	5
File Size	1191384
File Format	PDF
ISSN	1545598X
Volume Number	6
Issue Number	3
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-07-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image resolution Remote sensing Spatial resolution Satellites Urban areas Data mining Image fusion Testing Image analysis Image databases remote sensing image analysis Clustering high spatial resolution (HSR) multiresolution
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Geotechnical Engineering and Engineering Geology

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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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