Perception-Oriented Fusion of Multi-Sensor Imagery: Visible, IR and SAR

被引：3
|
作者：
Sidorchuk, D. [1 ]
Volkov, V. [1 ]
Gladilin, S. [1 ]
机构：
[1] RAS, IITP, Moscow, Russia
来源：
TENTH INTERNATIONAL CONFERENCE ON MACHINE VISION (ICMV 2017) | 2018年 / 10696卷
基金：
俄罗斯科学基金会;
关键词：
Image fusion; structural visualization; human color perception; VISUALIZATION; COLOR;
D O I：
10.1117/12.2309770
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页数：5
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