Change Detection and Image Time-Series Analysis 1

Unsupervised Methods

Abdourrahmane M. Atto, Francesca Bovolo, Lorenzo Bruzzone

• Publisher: Wiley-ISTE
• Year: 2021
• Print ISBN:
  9781789450569
• Edition: 1
• eBook ISBN:
  9781119882244
• Topic: Computer Science
• Subtopic: Computer Vision & Pattern Recognition
• Index: Computer Science

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, with Chapters 2 and 3 addressing change detection in image time series in the context of the statistical analysis of covariance matrices. Chapter 4 focuses on wavelets and convolutional-neural filters for feature extraction and entropy-based anomaly detection, and Chapter 5 deals with a number of metrics such as cross correlation ratios and the Hausdorff distance for variational analysis of the state of snow. Chapter 6 presents a fractional dynamic stochastic field model for spatio temporal forecasting and for monitoring fast-moving meteorological events such as cyclones. Chapter 7 proposes an analysis based on characteristic points for texture modeling, in the context of graph theory, and Chapter 8 focuses on detecting new land cover types by classification-based change detection or feature/pixel based change detection. Chapter 9 focuses on the modeling of classes in the difference image and derives a multiclass model for this difference image in the context of change vector analysis.

Table of contents

• Cover
• Half-Title Page
• Title Page
• Copyright Page
• Contents
• Preface
• List of Notations
• Chapter 1. Unsupervised Change Detection in Multitemporal Remote Sensing Images
• Chapter 2. Change Detection inTime Series of Polarimetric SAR Images
• Chapter 3. An Overview of Covariance-based Change Detection Methodologies in Multivariate SAR Image Time Series
• Chapter 4. Unsupervised Functional Information Clustering in Extreme Environments from Filter Banks and Relative Entropy
• Chapter 5. Thresholds and Distances to Better Detect Wet Snow over Mountains with Sentinel-1 Image Time Series
• Chapter 6. Fractional Field Image Time Series Modeling and Application to Cyclone Tracking
• Chapter 7. Graph of Characteristic Points for Texture Tracking: Application to Change Detection and Glacier Flow Measurement from SAR Image
• Chapter 8. Multitemporal Analysis of Sentinel-1/2 Images for Land Use Monitoring at Regional Scale
• Chapter 9. Statistical Difference Models for Change Detection in Multispectral Images
• List of Authors
• Index
• Summary of Volume 2
• EULA