Journal ArticleDOI
Image change detection algorithms: a systematic survey
TLDR
In this paper, the authors present a systematic survey of the common processing steps and core decision rules in modern change detection algorithms, including significance and hypothesis testing, predictive models, the shading model, and background modeling.Abstract:
Detecting regions of change in multiple images of the same scene taken at different times is of widespread interest due to a large number of applications in diverse disciplines, including remote sensing, surveillance, medical diagnosis and treatment, civil infrastructure, and underwater sensing. This paper presents a systematic survey of the common processing steps and core decision rules in modern change detection algorithms, including significance and hypothesis testing, predictive models, the shading model, and background modeling. We also discuss important preprocessing methods, approaches to enforcing the consistency of the change mask, and principles for evaluating and comparing the performance of change detection algorithms. It is hoped that our classification of algorithms into a relatively small number of categories will provide useful guidance to the algorithm designer.read more
Citations
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Journal ArticleDOI
Documentation of paintings restoration through photogrammetry and change detection algorithms
TL;DR: In this paper, the authors investigated the performance of change detection algorithms, developed in the remote sensing domain, and, in the framework of this research applied at a microscale (paintings), each phase of the restoration process is documented exploiting a multi-epoch image acquisition.
Proceedings ArticleDOI
An advanced change detection method based on object-oriented classification of multi-band remote sensing image
TL;DR: An advanced change detection method based on object-oriented classification of multi-band remote sensing data that can improve the accuracy of change detection and determine type of change, and can be used as a robust tool for territorial resources survey is proposed.
Proceedings ArticleDOI
Targeted change detection for stacked multi-temporal hyperspectral image
Chen Wu,Liangpei Zhang,Bo Du +2 more
TL;DR: A targeted change detection method for stacked multi-temporal hyperspectral image using principle component analysis (PCA) and ACE to detect targeted change areas is proposed.
Journal ArticleDOI
Rapid change detection algorithm for disaster management
TL;DR: This paper focuses on change detection applications in areas where catastrophic events took place which resulted in rapid destruction especially of manmade objects and developed a semi-automated procedure which allows a fast detection and visualization of change in areas of crisis or catastrophes.
ReportDOI
Robust Real-Time Change Detection in High Jitter
TL;DR: In this paper, a new method is introduced for real-time detection of transient change in scenes observed by staring sensors that are subject to platform jitter, pixel defects, variable focus, and other real-world challenges.
References
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Journal ArticleDOI
Distinctive Image Features from Scale-Invariant Keypoints
TL;DR: This paper presents a method for extracting distinctive invariant features from images that can be used to perform reliable matching between different views of an object or scene and can robustly identify objects among clutter and occlusion while achieving near real-time performance.
Journal ArticleDOI
Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
Stuart Geman,Donald Geman +1 more
TL;DR: The analogy between images and statistical mechanics systems is made and the analogous operation under the posterior distribution yields the maximum a posteriori (MAP) estimate of the image given the degraded observations, creating a highly parallel ``relaxation'' algorithm for MAP estimation.
Book
Multiple view geometry in computer vision
Richard Hartley,Andrew Zisserman +1 more
TL;DR: In this article, the authors provide comprehensive background material and explain how to apply the methods and implement the algorithms directly in a unified framework, including geometric principles and how to represent objects algebraically so they can be computed and applied.
Journal ArticleDOI
Fundamentals of statistical signal processing: estimation theory
TL;DR: The Fundamentals of Statistical Signal Processing: Estimation Theory as mentioned in this paper is a seminal work in the field of statistical signal processing, and it has been used extensively in many applications.
Journal ArticleDOI
Image registration methods: a survey
Barbara Zitová,Jan Flusser +1 more
TL;DR: A review of recent as well as classic image registration methods to provide a comprehensive reference source for the researchers involved in image registration, regardless of particular application areas.