Volume 17 Issue 4
Apr.  1992
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Cheng Tao, Li Deren, Shu Ning. An Expert System Model of Grass Resource Investigation by Using Remote Sensing Data[J]. Geomatics and Information Science of Wuhan University, 1992, 17(4): 41-47.
Citation: Cheng Tao, Li Deren, Shu Ning. An Expert System Model of Grass Resource Investigation by Using Remote Sensing Data[J]. Geomatics and Information Science of Wuhan University, 1992, 17(4): 41-47.

An Expert System Model of Grass Resource Investigation by Using Remote Sensing Data

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  • Received Date: May 06, 1992
  • Published Date: April 04, 1992
  • According to the theory of expert system and the principle of complex classification of grass land, a prototype of grass resource investigation expert system by remote sensing is developped. The system——GRIES (Grass Resource Investigation Expert System) has the same structure as a usual expert system. The authors design an model of uncertain inference to solve the uncertainty and uncomplety of the knowledge and the data. With the experiments of some examples, a combination of the technique of expert system and remote sensing can make full use of various auxiliary-information to overcome the disadvantages existing in maximum-likelyhood classification. At the meanwhile, GRIES can take the advantage of the knowledge and experiences of the experts to improve the accuracy of classification. After some changes of the knowledge-base and the data-base, GRIES can also be used in the areas such as vegetation field analysis, landuse investigation, predication of growth of crops and other kinds of resources investigation by remote sensing.

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