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
Multitemporal Hyperspectral Image Compression
Wei Zhu,Qian Du,James E. Fowler +2 more
TL;DR: The compression of multitemporal hyperspectral imagery is considered, wherein the encoder uses a reference image to effectuate temporal decorrelation for the coding of the current image and a strategy that explicitly removes salient temporal changes and stores them losslessly in the bitstream is proposed.
Journal ArticleDOI
Background Modeling by Stability of Adaptive Features in Complex Scenes
TL;DR: A novel multi-feature-based background model, named stability of adaptive feature (SoAF) model, which utilizes the stabilities of different features in a pixel to adaptively weigh the contributions of these features for foreground detection.
Journal ArticleDOI
Moving object recognition by a shape-based neural fuzzy network
Chia-Feng Juang,Liang-Tso Chen +1 more
TL;DR: The experiments show that the proposed approach can recognize moving objects with high accuracy and is shown to be better than back-propagation neural network and radial basis function network performance.
Journal ArticleDOI
Semi-automated region of interest generation for the analysis of optically recorded neuronal activity
TL;DR: A method for semi-automatic region of interest (ROI) detection that exploits the spatially compact, slowly time-varying character of the somatic signals that these indicators typically produce.
References
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Journal ArticleDOI
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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.