Automatic interpretation technology of aerial and satellite images according to different methods of land cover for protected areas
Authors:
About authors
- assistant lecturer National Mineral Resources University (Mining University)
Abstract
This paper focused on remote sensing, digital acquisition and digital processing methods for the purpose of land cover automatic classification of Yuntolovsky reserve. It presents the technique of automatic identification of land cover according to different methods. Comparisons the results of maximum likelihood method and neural networks approach are presented in the paper.
Область исследования:
(Archived) Engineering geodesy and urban cadastre
Keywords:
land cover classification
natural protected area
multisensor imagery
maximum likelihood
neural networks method
Funding:
None
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