Deep Learning for Remote Sensing Images with Open Source Software (Paperback)

In today's world, deep learning source codes and a plethora of open access geospatial images are readily available and easily accessible. However, most people are missing the educational tools to make use of this resource. Deep Learning for Remote Sensing Images with Open Source Software is the first practical book to introduce deep learning techniques using free open source tools for processing real world remote sensing images. The approaches detailed in this book are generic and can be adapted to suit many different applications for remote sensing image processing, including landcover mapping, forestry, urban studies, disaster mapping, image restoration, etc. Written with practitioners and students in mind, this book helps link together the theory and practical use of existing tools and data to apply deep learning techniques on remote sensing images and data. 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.

General

Imprint:	Crc Press
Country of origin:	United Kingdom
Series:	Signal and Image Processing of Earth Observations
Release date:	2022
First published:	2020
Authors:	Remi Cresson
Dimensions:	234 x 156 x 13mm (L x W x T)
Format:	Paperback
Pages:	152
ISBN-13:	978-0-367-51898-1
Categories:	Books > Earth & environment > Earth sciences > General Books > Professional & Technical > Environmental engineering & technology > General Books > Professional & Technical > Agriculture & farming > Agricultural science Books > Professional & Technical > Agriculture & farming > Forestry & silviculture: practice & techniques Books > Reference & Interdisciplinary > Communication studies > Decision theory > Risk assessment Books > Earth & environment > Geography > Cartography, geodesy & geographic information systems (GIS) > Geographical information systems (GIS) Books > Earth & environment > Geography > Cartography, geodesy & geographic information systems (GIS) > Remote sensing Books > Earth & environment > Regional & area planning > Urban & municipal planning > General Books > Computing & IT > Applications of computing > Image processing > General
LSN:	0-367-51898-8
Barcode:	9780367518981

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