Change Detection and Image Time-Series Analysis 1

Unervised Methods

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Wiley-ISTE


Paru le : 2021-12-07



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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.
Pages
304 pages
Collection
n.c
Parution
2021-12-07
Marque
Wiley-ISTE
EAN papier
9781789450569
EAN PDF
9781119882244

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
304
Taille du fichier
38615 Ko
Prix
163,47 €
EAN EPUB
9781119882251

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
304
Taille du fichier
27515 Ko
Prix
163,47 €

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