Research Catalog
Deep learning for remote sensing images with open source software
- Title
- Deep learning for remote sensing images with open source software / Rémi Cresson.
- Author
- Cresson, Rémi
- Publication
- Boca Raton, FL : CRC Press, [2020]
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1 Item
Status | Format | Access | Call Number | Item Location |
---|---|---|---|---|
Available - Can be used on site. Please visit New York Public Library - Schwarzman Building to submit a request in person. | Text | Use in library | JFE 21-1960 | Schwarzman Building - Map Division Room 117 |
Details
- Description
- xi 151 pages : color illustrations, color maps; 25 cm.
- Summary
- "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"--
- Series Statement
- Signal and image processing of Earth observations series
- Uniform Title
- Signal and image processing of Earth observations series.
- Subject
- Genre/Form
- Instructional and educational works.
- Informational works.
- Bibliography (note)
- Includes bibliographical references and index.
- Contents
- Deep learning background -- 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.
- Call Number
- JFE 21-1960
- ISBN
- 9780367858483
- 0367858487
- 9781003020851 (canceled/invalid)
- 9781000093612 (canceled/invalid)
- 9781000093599 (canceled/invalid)
- 9781000093605 (canceled/invalid)
- LCCN
- 2020015982
- OCLC
- 1144121325
- Author
- Cresson, Rémi, author.
- Title
- Deep learning for remote sensing images with open source software / Rémi Cresson.
- Publisher
- Boca Raton, FL : CRC Press, [2020]
- Type of Content
- textstill imagecartographic image
- Type of Medium
- unmediated
- Type of Carrier
- volume
- Series
- Signal and image processing of Earth observations seriesSignal and image processing of Earth observations series.
- Bibliography
- Includes bibliographical references and index.
- Local Note
- AUTH: UNIVERSITY OF MONTPELLIER, FRANCE.
- Other Form:
- Online version: Cresson, Rémi. Deep learning for remote sensing images with open source software. First edition. Boca Raton, FL : CRC Press, 2020 9781003020851 (DLC) 2020015983
- Research Call Number
- JFE 21-1960