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Perception-oriented fusion of multi-sensor imagery: visible, IR, and SAR
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Paper 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.

Paper Details

Date Published: 13 April 2018
PDF: 5 pages
Proc. SPIE 10696, Tenth International Conference on Machine Vision (ICMV 2017), 106961I (13 April 2018); doi: 10.1117/12.2309770
Show Author Affiliations
D. Sidorchuk, Institute for Information Transmission Problems (Russian Federation)
V. Volkov, Institute for Information Transmission Problems (Russian Federation)
S. Gladilin, Institute for Information Transmission Problems (Russian Federation)


Published in SPIE Proceedings Vol. 10696:
Tenth International Conference on Machine Vision (ICMV 2017)
Antanas Verikas; Petia Radeva; Dmitry Nikolaev; Jianhong Zhou, Editor(s)

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