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Machine processing for remotely acquired dataThis paper is a general discussion of earth resources information systems which utilize airborne and spaceborne sensors. It points out that information may be derived by sensing and analyzing the spectral, spatial and temporal variations of electromagnetic fields emanating from the earth surface. After giving an overview system organization, the two broad categories of system types are discussed. These are systems in which high quality imagery is essential and those more numerically oriented. Sensors are also discussed with this categorization of systems in mind. The multispectral approach and pattern recognition are described as an example data analysis procedure for numerically-oriented systems. The steps necessary in using a pattern recognition scheme are described and illustrated with data obtained from aircraft and the Earth Resources Technology Satellite (ERTS-1).
Document ID
19750051380
Acquisition Source
Legacy CDMS
Document Type
Conference Proceedings
Authors
Landgrebe, D. A.
(Purdue University West Lafayette, Ind., United States)
Date Acquired
August 8, 2013
Publication Date
January 1, 1974
Subject Category
Earth Resources And Remote Sensing
Meeting Information
Meeting: Remote sensing applied to energy-related problems; Symposium-Course
Location: Miami, FL
Start Date: December 2, 1974
End Date: December 4, 1974
Accession Number
75A35452
Funding Number(s)
CONTRACT_GRANT: NGL-15-005-112
Distribution Limits
Public
Copyright
Other

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