000 03479cam a2200613 i 4500
001 9781003020851
003 FlBoTFG
005 20220414100316.0
006 m d | |
007 cr |||||||||||
008 200524s2020 flua ob 001 0 eng
040 _aOCoLC-P
_beng
_erda
_cOCoLC-P
020 _a9781000093599
_qelectronic book
020 _a100009359X
_qelectronic book
020 _a9781003020851
_qelectronic book
020 _a1003020852
_qelectronic book
020 _z9780367858483
_qhardcover
020 _a9781000093612
_q(ePub ebook)
020 _a1000093611
_q(ePub ebook)
020 _a9781000093605
_q(Mobipocket ebook)
020 _a1000093603
_q(Mobipocket ebook)
024 7 _a10.1201/9781003020851
_2doi
035 _a(OCoLC)1158508782
_z(OCoLC)1173644635
035 _a(OCoLC-P)1158508782
050 0 4 _aG70.4
_b.C75 2020
072 7 _aTEC
_x036000
_2bisacsh
072 7 _aTEC
_x015000
_2bisacsh
072 7 _aCOM
_x012050
_2bisacsh
072 7 _aRGW
_2bicssc
082 0 0 _a621.36/78
_223
100 1 _aCresson, Rémi,
_eauthor.
245 1 0 _aDeep learning for remote sensing images with open source software /
_cRémi Cresson.
250 _aFirst edition.
264 1 _aBoca Raton, FL :
_bCRC Press, Taylor & Francis Group,
_c[2020]
300 _a1 online resource (xi, 151 pages) :
_bcolor illustrations.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
490 0 _aSignal and image processing of Earth observation series
505 0 _aDeep 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.
520 _a"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"--
_cProvided by publisher.
588 _aOCLC-licensed vendor bibliographic record.
650 0 _aRemote sensing
_xData processing.
650 0 _aRemote-sensing images.
650 0 _aImage processing
_xDigital techniques.
650 0 _aMachine learning.
650 0 _aNeural networks (Computer science)
650 0 _aOpen source software.
650 7 _aTECHNOLOGY / Remote Sensing
_2bisacsh
650 7 _aTECHNOLOGY / Imaging Systems
_2bisacsh
650 7 _aCOMPUTERS / Computer Graphics / Image Processing (see also PHOTOGRAPHY / Techniques / Digital)
_2bisacsh
856 4 0 _3Taylor & Francis
_uhttps://www.taylorfrancis.com/books/9781003020851
856 4 2 _3OCLC metadata license agreement
_uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
999 _c58942
_d58942