NDLI: Super-resolution mapping of multiple-scale land cover features using a Hopfield neural network

Content Provider	IEEE Xplore Digital Library
Author	Tatem, A.J. Lewis, H.G. Atkinson, P.M. Nixon, M.S.
Copyright Year	2001
Description	Author affiliation: Dept. of Electron. & Comput. Sci., Southampton Univ., UK (Tatem, A.J.)
Abstract	Soft classification techniques have been developed to estimate the class composition of image pixels, but their output provides no indication of how these classes are distributed spatially within the pixel. Separate Hopfield neural network techniques for producing super-resolution maps from imagery of features larger and smaller than a pixel have been developed. However, the techniques have yet to be combined in order to produce super-resolution maps of multiple-scale land cover features. This paper presents the first results from combining the two approaches. The output from a soft classification and prior information of sub-pixel feature arrangement is used to constrain a Hopfield neural network formulated as an energy minimisation tool. The energy minimum represents a 'best guess' map of the spatial distribution of class components in each pixel. The technique was applied to simulated SPOT HRV imagery and the resultant maps provided an accurate and improved representation of the land covers studied.
Starting Page	3200
Ending Page	3202
File Size	289940
Page Count	3
File Format	PDF
ISBN	0780370317
DOI	10.1109/IGARSS.2001.978302
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2001-07-09
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Hopfield neural networks Pixel Neurons Spatial resolution Production Image resolution Satellites Image sensors Computer science Geography
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
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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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