893 resultados para Earth resources technology satellites
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"May 1986."
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Shipping list no.: 88-1-P.
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Shipping list no.: 87-731-P.
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Prepared for the Institute of Natural Resources by John Bishop in cooperation with the Dept. of Local Government Affairs and Illinois Environmental Protection Agency.
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"Module U-3."
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A new clustering technique, based on the concept of immediato neighbourhood, with a novel capability to self-learn the number of clusters expected in the unsupervized environment, has been developed. The method compares favourably with other clustering schemes based on distance measures, both in terms of conceptual innovations and computational economy. Test implementation of the scheme using C-l flight line training sample data in a simulated unsupervized mode has brought out the efficacy of the technique. The technique can easily be implemented as a front end to established pattern classification systems with supervized learning capabilities to derive unified learning systems capable of operating in both supervized and unsupervized environments. This makes the technique an attractive proposition in the context of remotely sensed earth resources data analysis wherein it is essential to have such a unified learning system capability.
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Vol. 2, edited by S. C. Freden, E. P. Mercanti, and D. E. Witten, published by Goddard Space Flight Center, Greenbelt, Md.; v. 3, edited by S. C. Freden and E. P. Mercanti, also published by Goddard.