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
Change Detection Using Original and Fused Landsat and Worldview Images
TL;DR: It was observed that change maps based on the fused images are slightly better than that of using the pure Landsat images and are worse than the pure Worldview images maps, so more research is needed in generating high quality fused images so that change detection using fused images can be further improved.
Cluttered Background Removal in Static Images with Mild Occlusions
B. Nagarajan,P. Balasubramanie +1 more
TL;DR: A novel approach for background removal in static images containing car object with cluttered background and mild occlusion is presented and the morphological operations like region filling technique, background subtraction along with mapping function are used to extract the region of interest being the vehicle object.
Proceedings ArticleDOI
Rapid damage assessment using high-resolution remote sensing imagery: Tools and techniques
Ranga Raju Vatsavai,Mark A Tuttle,Budhendra L. Bhaduri,Eddie A Bright,Anil Cheriyadat,Varun Chandola,J. Graesser +6 more
TL;DR: This review will look into the current state of art, in damage assessment using remote sensing and GIS based techniques.
Traditional Approaches in Background Modeling for Static Cameras
TL;DR: This chapter gives an overview of traditional background modeling and foreground detection, and presents resources, datasets and codes publicly available.
Proceedings ArticleDOI
Illumination-invariant image-based novelty detection in a cognitive mobile robot's environment
TL;DR: Using multiple spatial image sequences which are captured under varying illumination conditions the robot computes an illumination-invariant image-based environment model and with this representation and statistical models about the illumination behavior, the robot is able to robustly detect texture changes in its environment under different lighting.
References
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Journal ArticleDOI
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