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Structure of the knowledge base for an expert labeling systemOne of the principal objectives of the NASA AgRISTARS program is the inventory of global crop resources using remotely sensed data gathered by Land Satellites (LANDSAT). A central problem in any such crop inventory procedure is the interpretation of LANDSAT images and identification of parts of each image which are covered by a particular crop of interest. This task of labeling is largely a manual one done by trained human analysts and consequently presents obstacles to the development of totally automated crop inventory systems. However, development in knowledge engineering as well as widespread availability of inexpensive hardware and software for artificial intelligence work offers possibilities for developing expert systems for labeling of crops. Such a knowledge based approach to labeling is presented.
Document ID
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Rajaram, N. S.
(Lockheed Engineering and Management Services Co., Inc. Houston, TX, United States)
Date Acquired
August 10, 2013
Publication Date
October 15, 1981
Publication Information
Publication: JPL Proc. of the 17th Ann. Conf. on Manual Control
Subject Category
Man/System Technology And Life Support
Accession Number
Funding Number(s)
Distribution Limits
Work of the US Gov. Public Use Permitted.
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