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Record Details

Record 26 of 18653
Hierarchical neural networks for autonomous data analysis and decision making
Author and Affiliation:
Eberlein, Susan(Jet Propulsion Lab., California Inst. of Tech., Pasadena, CA, United States)
Yates, Gigi(JPL, Pasadena, CA, United States)
Abstract: A neural network based data analysis and decision making system to increase the autonomy of a planetary rover or similar exploratory vehicle is presented. A hierarchical series of neural networks for real time analysis of scientific images is used. The system under development emphasizes analysis of multispectral images by classifier and feature detector neural networks, to provide information on the mineral composition of a scene. A hierarchy of alternating analysis and decision making networks is being developed to allow increasingly fine scale analysis in regions of the image that are potentially important. It is noted that this system will facilitate both the selection of high priorty scientific information for transmission to earth, and the autonomous collection of rocks and soil for sample return.
Publication Date: Jan 01, 1988
Document ID:
19900043180
(Acquired Nov 28, 1995)
Accession Number: 90A30235
Subject Category: CYBERNETICS
Document Type: Conference Paper
Publication Information: (SEE A90-30226)
Publisher Information: United States
Meeting Information: Annual Conference of the AAAIC; 4th; Oct. 25-27, 1988; Dayton, OH; United States
Meeting Sponsor: Dayton Special Interest Group for Artificial Intelligence;
Systems Research Labs Inc.;
Texas Instruments
Financial Sponsor: NASA; United States
Organization Source: Jet Propulsion Lab., California Inst. of Tech.; Pasadena, CA, United States
Description: 10p; In English
Distribution Limits: Unclassified; Publicly available; Unlimited
Rights: Copyright
NASA Terms: DECISION MAKING; EXPERT SYSTEMS; NEURAL NETS; ROVING VEHICLES; COMPUTER VISION; IMAGE ANALYSIS; IMAGING SPECTROMETERS; MULTISPECTRAL BAND SCANNERS; SCENE ANALYSIS
Imprint And Other Notes: IN: AAAIC '88 - Aerospace Applications of Artificial Intelligence; Proceedings of the Fourth Annual Conference, Dayton, OH, Oct. 25-27, 1988. Volume 1 (A90-30226 12-59). Xenia, OH, Dayton SIGART, 1988, p. 220-229.
Availability Source: Other Sources
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