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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Proceedings ArticleDOI
A unified framework for land-cover database update and enrichment using satellite imagery
TL;DR: A framework that is able to deal with both LC-DB update of any kind and their enrichment in case of incomplete DB is proposed, and is favorably compared with two state-of-the-art methods, on a reconstructed dataset, composed of sub-metric satellite image patches.
Journal ArticleDOI
Unsupervised Change Detection of SAR Images Based on an Improved NSST Algorithm
TL;DR: The proposed algorithm based on non-subsampled shearlet transform (NSST) detection in SAR images, for unsupervised changes has higher detection accuracy than the FLICM, DWT2-FLicM, and NSCT-FLICM algorithms.
Journal ArticleDOI
Simultaneous and Constrained Calibration of Multiple Hyperspectral Images Through a New Generalized Empirical Line Model
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TL;DR: This paper uses the standard EL model to formulate a new generalized empirical line (GEL) model and presents a novel method for simultaneous and constrained calibration of multiple images, which clearly shows the superiority of MIcEL with respect to the minimization of the difference between the reflectance values of the same object in different overlapping images.
Frame Difference And Kalman Filter Techniques For Detection Of Moving Vehicles In Video Surveillance
TL;DR: Experimental results show that the kalman filter is a good solution to obtain high accuracy, low resource requirements in given video of each technique.
Patent
Method for processing a compressed video stream
TL;DR: In this paper, the first and second sliding windows have different frames, and the second and third window indicators are compared, respectively, for a video stream consisting of a sequence of compressed data packets, each compressed packet is assigned to a frame by processing the undecoded data packet.
References
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