Paper
13 April 2018 Perception-oriented fusion of multi-sensor imagery: visible, IR, and SAR
Author Affiliations +
Proceedings Volume 10696, Tenth International Conference on Machine Vision (ICMV 2017); 106961I (2018) https://doi.org/10.1117/12.2309770
Event: Tenth International Conference on Machine Vision, 2017, Vienna, Austria
Abstract
This paper addresses the problem of image fusion of optical (visible and thermal domain) data and radar data for the purpose of visualization. These types of images typically contain a lot of complimentary information, and their joint visualization can be useful and more convenient for human user than a set of individual images. To solve the image fusion problem we propose a novel algorithm that utilizes some peculiarities of human color perception and based on the grey-scale structural visualization. Benefits of presented algorithm are exemplified by satellite imagery.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
D. Sidorchuk, V. Volkov, and S. Gladilin "Perception-oriented fusion of multi-sensor imagery: visible, IR, and SAR", Proc. SPIE 10696, Tenth International Conference on Machine Vision (ICMV 2017), 106961I (13 April 2018); https://doi.org/10.1117/12.2309770
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Image fusion

Image visualization

Human vision and color perception

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