Using neural networks in remote sensing monitoring of exogenous processes

Ruslan Sharapov; Alexey Varlamov

doi:10.1117/12.2178879

4 March 2015 Using neural networks in remote sensing monitoring of exogenous processes

Ruslan Sharapov; Alexey Varlamov;

Author Affiliations +

Proceedings Volume 9443, Sixth International Conference on Graphic and Image Processing (ICGIP 2014); 94432P (2015) https://doi.org/10.1117/12.2178879
Event: Sixth International Conference on Graphic and Image Processing (ICGIP 2014), 2014, Beijing, China

Abstract

In paper considered the problem of using remote sensing monitoring of the exogenous processes. The satellite observations can used in tasks of detection of newly formed landslides, landslips and karst collapses. Practice shows that the satellite images of the same area, taken at different times, can have significant differences from each other. For this reason, it is necessary to perform the images correction to bring them into the same species, removing impact of changes in weather conditions, etc. In addition, it is needed to detect the clouds in the images. Clouds interfere with the analysis of images. The detection of exogenous processes manifestations can be make after these actions. For image correction and object detection can be used the neural networks. In paper are given the algorithm for image correction and the structure of a neural network.

Citation Download Citation

Ruslan Sharapov, Alexey Varlamov, "Using neural networks in remote sensing monitoring of exogenous processes", Proc. SPIE 9443, Sixth International Conference on Graphic and Image Processing (ICGIP 2014), 94432P (4 March 2015); doi: 10.1117/12.2178879; https://doi.org/10.1117/12.2178879

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