Change Detection and Image Time Series Analysis 1 is popular PDF and ePub book, written by Abdourrahmane M. Atto in 2022-01-06, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Change Detection and Image Time Series Analysis 1 can be Read Online from any device for your convenience.
Change Detection and Image Time Series Analysis 1 Book PDF Summary
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.
Detail Book of Change Detection and Image Time Series Analysis 1 PDF
- Author : Abdourrahmane M. Atto
- Release : 06 January 2022
- Publisher : John Wiley & Sons
- ISBN : 9781789450569
- Genre : Computers
- Total Page : 306 pages
- Language : English
- PDF File Size : 12,8 Mb
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