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(Ebook) Change Detection and Image Time Series Analysis 1: Unsupervised Methods by Abdourrahmane M. Atto, Francesca Bovolo, Lorenzo Bruzzone (Editors) ISBN 9781789450569, 178945056X, 2021941648

  • SKU: EBN-45333342
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Authors:Abdourrahmane M. Atto, Francesca Bovolo, Lorenzo Bruzzone (Editors)
Pages:293 pages.
Year:2021
Editon:1
Publisher:ISTE-Wiley, John Wiley & Sons
Language:english
File Size:33.3 MB
Format:pdf
ISBNS:9781789450569, 178945056X, 2021941648
Categories: Ebooks

Product desciption

(Ebook) Change Detection and Image Time Series Analysis 1: Unsupervised Methods by Abdourrahmane M. Atto, Francesca Bovolo, Lorenzo Bruzzone (Editors) ISBN 9781789450569, 178945056X, 2021941648

This book is part of the ISTE-Wiley “SCIENCES” Encyclopedia and belongs to the Image field of the Engineering and Systems department. The Image field covers the entire processing chain from acquisition to interpretation by analyzing the data provided by various imaging systems.This field is split into seven subjects, including Remote Sensing Imagery (RSI). The heads of this subject are Emmanuel Trouvé and Avik Bhattacharya. In this subject, we propose a series of books that portray diverse and comprehensive topics in advanced remote-sensing images and their application for Earth Observation (EO). There has been an increasing demand for monitoring and predicting our planet’s evolution on a local, regional and global scale. Hence, over the past few decades, airborne, space-borne and ground-based platforms with active and passive sensors acquire images that measure several features at various spatial and temporal resolutions. RSI has become a broad multidisciplinary domain attracting scientists across the diverse fields of science and engineering.The aim of the books proposed in this RSI series is to present the state-of-the-art and available scientific knowledge about the primary sources of images acquired by optical and radar sensors. The books cover the processing methods developed by the signal and image processing community to extract useful information for end-users for an extensive range of EO applications in natural resources.
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