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Digital image data sets for remote sensing instructionSeveral sets of LANDSAT image segments and a set of simple image processing programs operating in batch mode are being used to teach an introductory course in digital image analysis and classification. The image data sets contain only a small number of pixels and can be run quickly on most university computing systems. A number of image data sets derived from the raw spectral bands (smoothed data sets, band ratios and texture data sets) allows the student to examine and include these extracted variables in the classification process. Another data set consists of three registered LANDSAT image segments for three different dates so that the student may experiment with multitemporal data processing. The three LANDSAT scenes used in the class are described and the image data sets available for class exercises are listed.
Document ID
19830009704
Document Type
Conference Paper
Authors
Eyton, J. R. (South Carolina Univ. Columbia, SC, United States)
Date Acquired
August 11, 2013
Publication Date
January 1, 1981
Publication Information
Publication: Purdue Univ. CORSE-81: The 1981 Conf. on Remote Sensing Educ.
Subject Category
EARTH RESOURCES AND REMOTE SENSING
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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IDRelationTitle19830009671Analytic PrimaryCORSE-81: The 1981 Conference on Remote Sensing Education