Technology and precision of automatized deciphering of agricultural lands | Land Portal

Resource information

Date of publication: 
December 2012
Resource Language: 
ISBN / Resource ID: 
AGRIS:BY2012001108
Pages: 
101-105

In the conditions of the Republic of Belarus there was presented the technology of automatized deciphering of area objects with the help of programme complex ENVI ((Environment for Visualizing Image), developed by the Research Systems, Inc. (the USA)). There were examined existing methods of deciphering in the programme complex ENVI. The presented order of deciphering could be recommended for production and could be used for the deciphering of linear and single-point objects. On the basis of obtained results we have estimated the precision of each method of deciphering in the module ENVI Zoom. The conducted methods of automatized deciphering showed that precision of classification methods was changeable. The realized methods of automated deciphering proved on different precision of classification methods. The most accurate was marked the IsoData method (classification without teaching) and method of vector machine support (classification with teaching). As the experiment showed, the automatized methods should be made more accurate by visual camera deciphering and further elaboration in field conditions for the precision improvement.

Authors and Publishers

Author(s), editor(s), contributor(s): 

Kutsaeva, O.A., Belarus State Academy of Agriculture, Gorki (Belarus)

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