Deep Learning for Remote Sensing Images with Open Source Software
Leveringstid: Sendes innen 7 virkedager
På grunn av Brexit-tilpasninger og tiltak for å begrense covid-19 kan det dessverre oppstå forsinket levering
Specific Features of this Book:
The first book that explains how to apply deep learning techniques to public, free available data (Spot-7 and Sentinel-2 images, OpenStreetMap vector data), using open source software (QGIS, Orfeo ToolBox, TensorFlow)
Presents approaches suited for real world images and data targeting large scale processing and GIS applications
Introduces state of the art deep learning architecture families that can be applied to remote sensing world, mainly for landcover mapping, but also for generic approaches (e.g. image restoration)
Suited for deep learning beginners and readers with some GIS knowledge. No coding knowledge is required to learn practical skills.
Includes deep learning techniques through many step by step remote sensing data processing exercises.