Deep learning for remote sensing images with open source software / (Record no. 74788)
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000 -LEADER | |
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fixed length control field | 03479cam a2200613 i 4500 |
001 - CONTROL NUMBER | |
control field | 9781003020851 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20220531132621.0 |
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS | |
fixed length control field | m d | | |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 200524s2020 flua ob 001 0 eng |
040 ## - Cataloging Source | |
-- | OCoLC-P |
-- | eng |
-- | rda |
-- | OCoLC-P |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9781000093599 |
-- | electronic book |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 100009359X |
-- | electronic book |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9781003020851 |
-- | electronic book |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 1003020852 |
-- | electronic book |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
Canceled/invalid ISBN | 9780367858483 |
-- | hardcover |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9781000093612 |
-- | (ePub ebook) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 1000093611 |
-- | (ePub ebook) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9781000093605 |
-- | (Mobipocket ebook) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 1000093603 |
-- | (Mobipocket ebook) |
024 7# - | |
-- | 10.1201/9781003020851 |
-- | doi |
035 ## - SYSTEM CONTROL NUMBER | |
System control number | (OCoLC)1158508782 |
Canceled/invalid control number | (OCoLC)1173644635 |
035 ## - SYSTEM CONTROL NUMBER | |
System control number | (OCoLC-P)1158508782 |
050 04 - LIBRARY OF CONGRESS CALL NUMBER | |
Classification number | G70.4 |
Item number | .C75 2020 |
072 #7 - | |
-- | TEC |
-- | 036000 |
-- | bisacsh |
072 #7 - | |
-- | TEC |
-- | 015000 |
-- | bisacsh |
072 #7 - | |
-- | COM |
-- | 012050 |
-- | bisacsh |
072 #7 - | |
-- | RGW |
-- | bicssc |
082 00 - | |
-- | 621.36/78 |
-- | 23 |
100 1# - MAIN ENTRY--PERSONAL NAME | |
Personal name | Cresson, Rémi, |
Relator term | author. |
245 10 - TITLE STATEMENT | |
Title | Deep learning for remote sensing images with open source software / |
Statement of responsibility, etc. | Rémi Cresson. |
250 ## - EDITION STATEMENT | |
Edition statement | First edition. |
264 #1 - | |
-- | Boca Raton, FL : |
-- | CRC Press, Taylor & Francis Group, |
-- | [2020] |
300 ## - PHYSICAL DESCRIPTION | |
Extent | 1 online resource (xi, 151 pages) : |
Other physical details | color illustrations. |
336 ## - | |
-- | text |
-- | txt |
-- | rdacontent |
337 ## - | |
-- | computer |
-- | c |
-- | rdamedia |
338 ## - | |
-- | online resource |
-- | cr |
-- | rdacarrier |
490 0# - | |
-- | Signal and image processing of Earth observation series |
505 0# - | |
-- | 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. |
520 ## - | |
-- | "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. |
588 ## - | |
-- | OCLC-licensed vendor bibliographic record. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Remote sensing |
General subdivision | Data processing. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Remote-sensing images. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Image processing |
General subdivision | Digital techniques. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Machine learning. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Neural networks (Computer science) |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Open source software. |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | TECHNOLOGY / Remote Sensing |
Source of heading or term | bisacsh |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | TECHNOLOGY / Imaging Systems |
Source of heading or term | bisacsh |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | COMPUTERS / Computer Graphics / Image Processing (see also PHOTOGRAPHY / Techniques / Digital) |
Source of heading or term | bisacsh |
856 40 - | |
-- | Taylor & Francis |
-- | https://www.taylorfrancis.com/books/9781003020851 |
856 42 - | |
-- | OCLC metadata license agreement |
-- | http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf |
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