Is the method of measuring the properties of objects on the earth's surface, which uses data obtained from aircraft and artificial satellites of the Earth.
Published in Chapter:
Application of Deep Learning in the Processing of the Aerospace System's Multispectral Images
Heorhii Kuchuk (Kharkiv Polytechnic Institute, National Technical University, Ukraine), Andrii Podorozhniak (Kharkiv Polytechnic Institute, National Technical University, Ukraine), Daria Hlavcheva (Kharkiv Polytechnic Institute, National Technical University, Ukraine), and Vladyslav Yaloveha (Kharkiv Polytechnic Institute, National Technical University, Ukraine)
Copyright: © 2020
|Pages: 14
DOI: 10.4018/978-1-7998-1415-3.ch005
Abstract
This chapter uses deep learning neural networks for processing of aerospace system multispectral images. Convolutional and Capsule Neural Network were used for processing multispectral images from satellite Landsat 8, previously processed using spectral indices NDVI, NDWI, PSRI. The authors' approach was applied to wildfire Camp Fire (California, USA). The deep learning neural networks are used to solve the problem of detecting fire hazardous forest areas. Comparison of Convolutional and Capsule Neural Network results was done. The theory of neural networks of deep learning, the theory of recognition of multispectral images, methods of mathematical statistics were used.