A self-organization method of geospatial data based on information entropy
A geospatial data and information entropy technology, applied in the field of geospatial data self-organization based on information entropy, can solve problems such as complex customer groups, loss of search efficiency and accuracy, and achieve the effect of improving accuracy and efficiency
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[0064] S1. The user enters search conditions on the client terminal. Due to the complexity of geospatial data, multiple conditions are set for the user to choose, including data format, research area, time range, cloud cover and scale / spatial resolution, etc.;
[0065] S2. The client sends the search condition to the blade server in the form of an instruction, and the blade server takes out the geospatial data from the disk array for model calculation;
[0066] S3. First construct the search condition information entropy H according to the Shannon entropy formula, and the number of types of the search conditions is n: the first type of search condition A 1 , ..., the i-th search condition A i ...the nth category of search criteria A n ;
[0067] Such as figure 2 As shown, take each type of search condition as the parent node; calculate the information entropy H of the parent node a :
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[0071] Where: P i It is the percentage of various...
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