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9781003020851
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200524s2020 flua ob 001 0 eng
OCoLC-P
eng
rda
OCoLC-P
9781000093599
electronic book
100009359X
electronic book
9781003020851
electronic book
1003020852
electronic book
9780367858483
hardcover
9781000093612
(ePub ebook)
1000093611
(ePub ebook)
9781000093605
(Mobipocket ebook)
1000093603
(Mobipocket ebook)
10.1201/9781003020851
doi
(OCoLC)1158508782
(OCoLC)1173644635
(OCoLC-P)1158508782
G70.4
.C75 2020
TEC
036000
bisacsh
TEC
015000
bisacsh
COM
012050
bisacsh
RGW
bicssc
621.36/78
23
Cresson, Rémi,
author.
Deep learning for remote sensing images with open source software /
Rémi Cresson.
First edition.
Boca Raton, FL :
CRC Press, Taylor & Francis Group,
[2020]
1 online resource (xi, 151 pages) :
color illustrations.
text
txt
rdacontent
computer
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rdamedia
online resource
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Signal and image processing of Earth observation series
Deep learning backgrounds -- Software -- Data used : the Tokyo dataset -- A simple convolutional neural network -- Fully convolutional neural network -- Classifiers on deep features -- Dealing with multiple sources -- Semantic segmentation of optical imagery -- Data used : the Amsterdam dataset -- Mapping buildings -- Gap filling of optical images : principle -- The Marmande dataset -- Pre-processing -- Model training -- Inference.
"In today's world, deep learning source codes and a plethora of open access geospatial images are available, but readers are missing the educational tools. 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 many applications for various remote sensing images processing in landcover mapping, forestry, urban, in disaster mapping, image restoration, etc. Written with practitioners and students in mind, this book helps readers link together the theory and practical use of existing tools and data to create their own remote sensing data processing"--
Provided by publisher.
OCLC-licensed vendor bibliographic record.
Remote sensing
Data processing.
Remote-sensing images.
Image processing
Digital techniques.
Machine learning.
Neural networks (Computer science)
Open source software.
TECHNOLOGY / Remote Sensing
bisacsh
TECHNOLOGY / Imaging Systems
bisacsh
COMPUTERS / Computer Graphics / Image Processing (see also PHOTOGRAPHY / Techniques / Digital)
bisacsh
Taylor & Francis
https://www.taylorfrancis.com/books/9781003020851
OCLC metadata license agreement
http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
74788
74788