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Computer-implemented land use classification with pattern recognition software and ERTS digital dataSignificant progress has been made in the classification of surface conditions (land uses) with computer-implemented techniques based on the use of ERTS digital data and pattern recognition software. The supervised technique presently used at the NASA Earth Resources Laboratory is based on maximum likelihood ratioing with a digital table look-up approach to classification. After classification, colors are assigned to the various surface conditions (land uses) classified, and the color-coded classification is film recorded on either positive or negative 9 1/2 in. film at the scale desired. Prints of the film strips are then mosaicked and photographed to produce a land use map in the format desired. Computer extraction of statistical information is performed to show the extent of each surface condition (land use) within any given land unit that can be identified in the image. Evaluations of the product indicate that classification accuracy is well within the limits for use by land resource managers and administrators. Classifications performed with digital data acquired during different seasons indicate that the combination of two or more classifications offer even better accuracy.
Document ID
19740022616
Document Type
Conference Paper
Authors
Joyce, A. T.
(NASA Mississippi Test Facility Bay Saint Louis, MS, United States)
Date Acquired
August 7, 2013
Publication Date
January 1, 1974
Publication Information
Publication: 3d ERTS-1 Symp., Vol. 1, Sect. A
Subject Category
Computers
Report/Patent Number
PAPER-L1
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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IDRelationTitle19740022592Analytic PrimaryThird Earth Resources Technology Satellite-1 Symposium. Volume 1: Technical Presentations, section A
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