Change Detection and Image Time-Series Analysis 1
unervised methods
$416.70
- Hardcover
304 pages
- Release Date
13 December 2021
Summary
Unveiling Change: An Exploration of Image Time-Series Analysis
Change Detection and Image Time Series Analysis 1 presents a wide range of unsupervised methods for temporal evolution analysis through the use of image time series associated with optical and/or synthetic aperture radar acquisition modalities.
Chapter 1 introduces two unsupervised approaches to multiple-change detection in bi-temporal multivariate images. Chapters 2 and 3 address change detection in image time s…
Book Details
| ISBN-13: | 9781789450569 |
|---|---|
| ISBN-10: | 178945056X |
| Author: | Abdourrahmane M. Atto, Francesca Bovolo, Lorenzo Bruzzone |
| Publisher: | ISTE Ltd |
| Imprint: | ISTE Ltd |
| Format: | Hardcover |
| Number of Pages: | 304 |
| Release Date: | 13 December 2021 |
| Weight: | 454g |
| Dimensions: | 10mm x 10mm x 10mm |
About The Author
Abdourrahmane M. Atto
Abdourrahmane M. Atto is Associate Professor at the University Savoie Mont Blanc, France. His research interests include mathematical methods and models for artificial intelligence and image time series.
Francesca Bovolo is the Head of the Remote Sensing for Digital Earth Unit, Fondazione Bruno Kessler, Italy. Her research interests include remote sensing image time series analysis, content-based time series retrieval and radar sounders.
Lorenzo Bruzzone is Professor of Telecommunications and the Founder and Director of the Remote Sensing Laboratory at the University of Trento, Italy. His research interests include remote sensing, machine learning and pattern recognition.
Returns
This item is eligible for free returns within 30 days of delivery. See our returns policy for further details.