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
Similar articles
Development of the composition and technology for industrial production of an emulsifier used in oil рroduction for inverse water-in-oil emulsions
2012 N. K. Kondrasheva, M. K. Rogachev
Methodology of the complex estimation of influence of tectonic disturbances on stability of the rock mass at mining of rock-bump hazardous ore deposits difficult geologic structure
2012 D. V. Sidorov
Prediction of the mine working stability in the massif which are crossing zone of weakening
2012 M. G. Popov
Look-ahead estimation of consequences mines works under high-voltage line of electric transfers and monitoring behind their condition
2012 V. N. Gusev, A. S. Mironov, V. L. Trushko, Nguen Suan Bak