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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