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Citation:

Method for Recognising the Unusual High Temperature Points through NOAA/AVHRR Data

  • Received Date: 1993-02-10
  • In this paper,for the error differentiation of applying neural network to recognize the unusual high temperature point by using NOAA data,on the base of KL transformation,the sample description is redefined for recognizing unusual high temperature problem with data supplied by the NOAA satellite.And the old Toptlogical structure of the network is modified.A new simulated experiment shows that the modified network is better than the old one in the recognizing precision.
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通讯作者: 陈斌, bchen63@163.com
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    沈阳化工大学材料科学与工程学院 沈阳 110142

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Method for Recognising the Unusual High Temperature Points through NOAA/AVHRR Data

  • 1. The Research Institute of Forest Resource Information Techniques, CAF Beijing 100091

Abstract: In this paper,for the error differentiation of applying neural network to recognize the unusual high temperature point by using NOAA data,on the base of KL transformation,the sample description is redefined for recognizing unusual high temperature problem with data supplied by the NOAA satellite.And the old Toptlogical structure of the network is modified.A new simulated experiment shows that the modified network is better than the old one in the recognizing precision.

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