Change Detection and Image Time-Series Analysis 1: Unervised Methods - Image 1

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Wiley Change Detection and Image Time-Series Analysis 1: Unervised Methods

Name: Change Detection and Image Time-Series Analysis 1: Unervised Methods
Brand: Wiley
Price: 113.79 GBP
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Digital Editing

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Description

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. About the Author 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.

Product Specifications

Brand: Wiley
Format: hardcover
ASIN: 178945056X
Category: Books > Subjects > Arts & Photography > Photography & Video > Techniques & Tools > Digital Editing
Domain: Amazon UK
Release Date: 04 January 2022
Listed Since: 26 October 2021

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Wiley Change Detection and Image Time-Series Analysis 1: Unervised Methods

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