D. V. Zhukov scite author profile

The article describes the problem of automated recognition of the anthropogenic elements of landscape. The recognition is based on the aerospace data in the optical range of the spectrum and a feature model of an object, consisting of the geometric and reflectance characteristics. Using this model, we formed training samples for a convolutional neural network. There is a real example of the practical implementation of the model in identification of the aviation objects.

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D. V. Zhukov

Role of an Organomineral Gel in the Formation of Natural Electrical Fields in Soils

The Review of Cellular Automata Algorithms for Placement and Routing Problems

1H, 13C, 15N NMR, ESI mass spectral and single crystal X-ray structural characterization of three spiro[pyrrolidine-2,3′-oxindoles]

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Remote Sensing Image Processing Based on Modified Fuzzy Algorithm

Remote Sensing for Environmental Monitoring. Complex Modeling

The retrieval of the coastal water depths from data of multi- and hyperspectral remote sensing imagery

Development and use of feature models of anthropogenic objects in thematic processing of space imagery

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