Atto A. Change Detection And Image Time Series Analysis 1. 2021

Textbook in PDF format

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.
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.
Preface
Unsupervised Change Detection in Multitemporal Remote Sensing Images
Change Detection in Time Series of Polarimetric SAR Images
An Overview of Covariance-based Change Detection Methodologies in Multivariate SAR Image Time Series
Unsupervised Functional Information Clustering in Extreme Environments from Filter Banks and Relative Entropy
Thresholds and Distances to Better Detect Wet Snow over Mountains with Sentinel-1 Image Time Series
Fractional Field Image Time Series Modeling and Application to Cyclone Tracking
Graph of Characteristic Points for Texture Tracking: Application to Change Detection and Glacier Flow Measurement from SAR Images
Multitemporal Analysis of Sentinel-1/2 Images for Land Use Monitoring at Regional Scale
Statistical Difference Models for Change Detection in Multispectral Images
Index