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
Windthrow Detection in European Forests with Very High-Resolution Optical Data
Kathrin Einzmann,Markus Immitzer,Sebastian Böck,Oliver Bauer,Andreas Schmitt,Clement Atzberger +5 more
TL;DR: A two-step change detection approach applying commercial very high-resolution optical Earth Observation data to spot forest damage using a supervised Random Forest classifier and a hybrid-change detection approach at pixel-level that identifies small groups of fallen trees.
Journal ArticleDOI
A Disturbance-Inventory Framework for Flexible and Reliable Landscape Monitoring
Julia Linke,Gregory J. McDermid,David N. Laskin,Adam J. McLane,Alysha D. Pape,J. Cranston,Mryka Hall-Beyer,Steven E. Franklin +7 more
TL;DR: In this paper, a spatio-temporal disturbance inventory database is created through semi-automated change detection and conditioned with boundary-matching procedures, which can be used to backdate and update both continuous and categorical reference maps.
Journal ArticleDOI
Moving object segmentation in Daubechies complex wavelet domain
TL;DR: A new method for segmentation of moving object which is based on double change detection technique applied on Daubechies complex wavelet coefficients of three consecutive frames is introduced to have high degree of segmentation accuracy than the other state-of-the-art methods.
Proceedings ArticleDOI
Wavelet Feature Based Neural Classifier System for Object Classification with Complex Background
B. Nagarajan,P. Balasubramanie +1 more
TL;DR: This paper addresses the issues to classify objects of real-world images containing side views of cars with complex background with that of non-car images with natural scenes by building a system that classifies the objects amidst background clutter and mild occlusion.
Journal ArticleDOI
Iterative Filtering Decomposition Based on Local Spectral Evolution Kernel
TL;DR: The results indicate that the LSEK based IFD improves both the efficiency and the stability of conventional EMD algorithms.
References
More filters
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.