Deep learning for remote sensing images with open source software / (Record no. 13668)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02065cam a22003018i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 10802 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | IN-BhIIT |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240625183255.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 200524s2020 flu b 001 0 eng |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9780367518981 |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | IN-BhIIT |
| 041 ## - LANGUAGE CODE | |
| Language code of text | eng |
| 082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 621.3678 |
| Book number | CRE/D |
| 100 1# - MAIN ENTRY--AUTHOR NAME | |
| Personal name | Cresson, Remi, |
| Relator term | Author. |
| 245 10 - TITLE STATEMENT | |
| Title | Deep learning for remote sensing images with open source software / |
| Statement of responsibility, etc | by Remi Cresson. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication | Boca Raton : |
| Name of publisher | CRC Press, |
| Year of publication | 2020. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | x,151 p. : |
| Other physical details(ill.) | ill. ; |
| Dimensions(size) | 24 cm. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc | Includes bibliographical references and index. |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 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 ## - SUMMARY, ETC. | |
| Summary, etc | "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"-- |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Remote sensing |
| General subdivision | Data processing. |
| Topical Term | Remote-sensing images. |
| Topical Term | Image processing |
| General subdivision | Digital techniques. |
| Topical Term | Machine learning. |
| Topical Term | Neural networks (Computer science). |
| Topical Term | Open source software. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Technical Reference Book |
| Withdrawn status | Lost status | Damaged status | Not for loan | Collection code | Home library | Current library | Date acquired | Source of acquisition | Cost, normal purchase price | Full call number | Accession Number | Cost, replacement price | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Not withdrawn | Not Lost | not damaged | SMS | Central Library, IIT Bhubaneswar | Central Library, IIT Bhubaneswar | 11/01/2024 | 47 | 2468.38 | 621.3678 CRE/D | 10802 | 3381.34 | 11/01/2024 | Technical Reference Book |