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Joint Classification and Data Compression of multidimensional information sources - Application to ERTSThis paper describes a concept of Joint Classification and Data Compression of multidimensional information sources in the context of applications to Earth Resources Technology Satellites. The concept is used to define an Information Extraction System intended to remove data redundancy early in the sensor to user link in both classification and film interpretation applications. The approach uses cascaded partially supervised clustering to extract spectral intensity features from spatially local sources. Data compression is then used to efficiently represent spatial features within the spectral intensity feature map.
Document ID
19760039900
Acquisition Source
Legacy CDMS
Document Type
Conference Proceedings
Authors
Hilbert, E. E.
(California Institute of Technology, Jet Propulsion Laboratory, Pasadena Calif., United States)
Date Acquired
August 8, 2013
Publication Date
January 1, 1975
Subject Category
Communications And Radar
Meeting Information
Meeting: International Conference on Communications
Location: San Francisco, CA
Start Date: June 16, 1975
End Date: June 18, 1975
Accession Number
76A22866
Distribution Limits
Public
Copyright
Other

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