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Automated thematic mapping and change detection of ERTS-1 imagesResults of an automated thematic mapping investigation using ERTS-1 MSS images are presented. A diffraction pattern analysis of MSS images led to the development of spatial signatures for farm land, urban areas, and mountains. Four spatial features are employed to describe the spatial characteristics of image cells in the digital data. Three spectral features are combined with the spatial features to form a seven dimensional vector describing each cell. Then, the classification of the feature vectors is accomplished by using the maximum likelihood criterion. Three ERTS-1 images from the Phoenix, Arizona area were processed, and recognition rates between 85% and 100% were obtained for the terrain classes of desert, farms, mountains and urban areas. To eliminate the need for training data, a new clustering algorithm has also been developed.
Document ID
19740022712
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Gramenopoulos, N.
(Itek Corp. Lexington, MA, United States)
Date Acquired
August 7, 2013
Publication Date
January 1, 1974
Publication Information
Publication: NASA. Goddard Space Flight Center 3d ERTS-1 Symp., Vol. 1, Sect. B
Subject Category
Geophysics
Report/Patent Number
PAPER-I11
Accession Number
74N30825
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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