Deep learning for multi-sensor Earth observation / (Record no. 15573)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02838 a2200301 4500 |
| 001 - CONTROL NUMBER | |
| control field | 11513 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | IN-BhIIT |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20260804123521.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 260804b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9780443264849 (hardback) |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | IN-BhIIT |
| 041 ## - LANGUAGE CODE | |
| Language code of text | eng |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 621.3678 |
| Book number | SAH/D |
| 245 ## - TITLE STATEMENT | |
| Title | Deep learning for multi-sensor Earth observation / |
| Statement of responsibility, etc | edited by Sudipan Saha. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication | Amsterdam : |
| Name of publisher | Elsevier, |
| Year of publication | 2025. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | xv, 436 pages : |
| Other physical details(ill.) | illustrations ; |
| Dimensions(size) | 24 cm. |
| 490 ## - SERIES STATEMENT | |
| Series statement | Earth observation series. |
| 500 ## - GENERAL NOTE | |
| General note | Includes contributions by international experts in remote sensing and artificial intelligence. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc | Includes bibliographical references and index. |
| 505 ## - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Part I. Introduction to multi-sensor data and artificial intelligence -- Deep learning for multi-sensor Earth observation: introductory notes -- A basic introduction to deep learning -- Part II. Artificial intelligence for sensor-specific data analysis and fusion -- Deep learning processing of remotely sensed multispectral images -- Deep learning and hyperspectral images -- Synthetic aperture radar image analysis in era of deep learning -- Deep learning with LiDAR for Earth observation -- Several sensors and modalities -- Part III. Advanced concepts and architectures -- Self-supervised learning for multimodal Earth observation data -- Vision transformers and multi-sensor Earth observation -- Graph neural networks for multi-sensor Earth observation -- Uncertainty quantification in deep neural networks for multi-sensor Earth observation -- Part IV. Multi-sensor deep learning applications -- Multi-sensor deep learning for change detection -- Multi-sensor deep learning for glacier mapping -- Deep learning in multi-sensor agriculture and crop management -- Miscellaneous applications of deep learning-based multi-sensor Earth observation -- Multi-sensor Earth observation: outlook. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | The book Deep Learning for Multi-Sensor Earth Observation presents state-of-the-art methods for integrating deep learning with multisensor remote sensing data. Covering multispectral, hyperspectral, SAR, and LiDAR imagery, it explains modern AI techniques—including self-supervised learning, vision transformers, graph neural networks, and uncertainty quantification—and demonstrates their application in change detection, glacier mapping, agriculture, and environmental monitoring. The book serves as a comprehensive reference for researchers, graduate students, and professionals in Earth observation and geospatial artificial intelligence. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Remote sensing. |
| Topical Term | Earth sciences |
| General subdivision | Remote sensing. |
| Topical Term | Deep learning (Machine learning) |
| Topical Term | Artificial intelligence. |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Saha, Sudipan, |
| Relator term | editor. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Technical Reference Book |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Cost, normal purchase price | Total Checkouts | Full call number | Accession Number | Date last seen | Cost, replacement price | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Not withdrawn | Not Lost | Dewey Decimal Classification | not damaged | SECS | Central Library, IIT Bhubaneswar | Central Library, IIT Bhubaneswar | Technical Reference Book Section | 28/07/2026 | 21 | 10482.81 | 621.3678 SAH/D | 11513 | 28/07/2026 | 14360.02 | 28/07/2026 | Technical Reference Book |