Deep Learning for Remote Sensing Images with Open Source Software

Rémi Cresson

ISBN 10: 0367858487 / ISBN 13: 9780367858483

Edité par Taylor & Francis Ltd (Sales) Jul 2020, 2020

A propos de cet article

Neuware - 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. N° de réf. du vendeur 9780367858483

Détails bibliographiques

Titre : Deep Learning for Remote Sensing Images with...

Éditeur : Taylor & Francis Ltd (Sales) Jul 2020

Date d'édition : 2020

Reliure : Buch

Etat : Neu

A propos de ce titre

Synopsis :

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.

À propos de l?auteur:

Remi Cresson received the M. Sc. in electrical engineering from the Grenoble Institute of Technology, France, 2009. He is with the Land, Environment, Remote Sensing and Spatial Information Joint Research Unit (UMR TETIS), at the French Research Institute of Science and Technology for Environment and Agriculture (Irstea), Montpellier, France. His research and engineering interests include remote sensing image processing, High Performance Computing, and geospatial data inter-operability. He is member of the Orfeo ToolBox Project Steering Committee and charter member of the Open source geospatial foundation (OSGEO).