Deep Learning for Remote Sensing Images with Open Source Software
Автор
Remi Cresson (Irstea/Inrae/Umr Tetis)
This is the first practical book to introduce deep learning techniques using free open source tools for processing real world remote sensing images. The approaches are generic and adapted to suit applications for various remote sensing images processing in landcover mapping, forestry, urban, in disaster mapping, image restoration, etc.