FIELD: monitoring systems; forestry.
SUBSTANCE: invention relates to forest fund monitoring systems. System includes a set of computer facilities based on a convolutional neural network using data from the Earth remote sensing spacecraft Resource-P, Canopus-B, Planet spacecraft and Aqua scientific research spacecraft with Modis equipment. System processes images of forest fund objects received from spacecraft for remote sensing of the Earth to form rectangular pixels of an image with a given pitch by a sliding window method. For each rectangular matrix, multiple mappings are generated with segmentation of each display by means of a convolutional neural network and its classification by means of a convolution neural network as one of the objects of the forest fund using modifying data of the Modis Earth's remote probing equipment and obtaining the final image classified as one of the forest fund objects.
EFFECT: technical result consists in providing ensemble results of obtained layers and permissions.
1 cl, 3 dwg
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Authors
Dates
2019-10-16—Published
2019-04-16—Filed