350 rub
Journal Radioengineering №6 for 2018 г.
Article in number:
Application of convolutional neural networks for thematic mapping of time sequences of satellite multispectral images
Type of article: scientific article
UDC: 528.8
Keywords: satellite images segmentation neural networks image classification time sequence processing.
Authors:

V.E. Dementiev – Ph.D.(Eng.), Associate Professor, 

Department «Telecommunications», Ulyanovsk State Technical University

E-mail: dve@ulntc.ru, vitawed@mail.ru

D.S. Kondratiev – Post-graduate Student, Department «Telecommunications», Ulyanovsk State Technical University E-mail: kondratev.dmitriy@gmail.com

A.G. Frankel – Post-graduate Student, Department «Telecommunications», Ulyanovsk State Technical University E-mail: j.skvoll@gmail.com

Abstract:

The work is devoted to solving the problem of thematic mapping of time sequences of multispectral images. The neural network procedure based on the modified UNET network is proposed to be used as the basis of the classification algorithm. In order to improve the processing quality of satellite material, it is proposed to use several reference results of classifications for the previous moments of time. The consistency of this approach is shown by the results of processing time sequences of multispectral images. A comparative study with alternative classifiers is performed.

Pages: 29-32
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Date of receipt: 24 мая 2018 г.