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Content-based retrieval of remote sensed images using a feature-based approachA feature-based representation model for content-based retrieval from a remote sensed image database is described in this work. The representation is formed by clustering spatially local pixels, and the cluster features are used to process several types of queries which are expected to occur frequently in the context of remote sensed image retrieval. Preliminary experimental results show that the feature-based representation provides a very promising tool for content-based access.
Document ID
19960008290
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Vellaikal, Asha
(Hughes Research Labs. Malibu, CA, United States)
Dao, Son
(Hughes Research Labs. Malibu, CA, United States)
Kuo, C.-C. Jay
(Hughes Research Labs. Malibu, CA, United States)
Date Acquired
September 6, 2013
Publication Date
October 1, 1995
Publication Information
Publication: NASA. Goddard Space Flight Center, The 1995 Science Information Management and Data Compression Workshop
Subject Category
Documentation And Information Science
Accession Number
96N15456
Funding Number(s)
CONTRACT_GRANT: NSF ASC-93-50309
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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