Image Change Detection and Statistical Test

Fast SAR Image Change Detection Using Bayesian Approach Based Difference Image and Modified Statistical Region Merging

A novel fast SAR image change detection method is presented in this paper. Based on a Bayesian approach, the prior information that speckles follow the Nakagami distribution is incorporated into the difference image (DI) generation process. The new DI performs much better than the familiar log ratio (LR) DI as well as the cumulant based Kullback-Leibler divergence (CKLD) DI. The statistical reg...

Monitoring of Social Network and Change Detection by Applying Statistical Process: ERGM

The statistical modeling of social network data needs much effort  because of the complex dependence structure of the tie variables. In order to formulate such dependences, the statistical exponential families of distributions can provide a flexible structure. In this regard, the statistical characteristics of the network is provided to be encapsulated within an Exponential Random Graph Model (...

Statistical Methods for Change Detection

Wide - Baseline Image Change Detection

We present a fully automated method for the detection of changes within a scene between a reference and a sample image whose viewing angles differ by up to 30◦. We also describe an extension to the SIFT technique that allows extracted feature points to be matched over wider viewing angles. Matched correspondences between reference and sample images are used to construct a Delaunay triangulation...

Change detection from satellite images based on optimal asymmetric thresholding the difference image

As a process to detect changes in land cover by using multi-temporal satellite images, change detection is one of the practical subjects in field of remote sensing. Any progress on this issue increase the accuracy of results as well as facilitating and accelerating the analysis of multi-temporal data and reducing the cost of producing geospatial information. In this study, an unsupervised chang...