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

机译:面向感知的多传感器图像融合:可见光,IR和SAR

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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.
机译:本文针对可视化目的,解决了光学(可见域和热域)数据与雷达数据的图像融合问题。这些类型的图像通常包含许多免费信息,并且它们的联合可视化功能对于人类用户而言可能比一组单独的图像更为有用和方便。为了解决图像融合问题,我们提出了一种新颖的算法,该算法利用了人类色彩感知的某些特性,并且基于灰度结构可视化。所提出的算法的好处以卫星图像为例。

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