8 March 2018 A method of airborne infrared and visible image matching based on HOG feature
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Proceedings Volume 10609, MIPPR 2017: Pattern Recognition and Computer Vision; 106090Y (2018) https://doi.org/10.1117/12.2285034
Event: Tenth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2017), 2017, Xiangyang, China
Abstract
In the all-time matching and navigation task, the aircraft applies real-time infrared images acquired by infrared imagery sensor to match the referenced visible image provided by the satellite for accurate location. However, the large difference between the infrared image and the visible image makes the task challenging. In this paper, for the sake of engineering application in the avionics system, we obtain real-time infrared images according to the flight trajectory, and then use them to match the referenced visible images. Furthermore, the HOG features are extracted respectively from real-time infrared images and referenced visible images to describe their feature similarity, for the purpose of accurate matching and localization. Experimental results demonstrate that our proposed method can not only realize the matching between airborne infrared and visible images, but also achieve high location accuracy, which shows good performance and robustness.
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Xue Wang, Qing Zhou, Qiang Liu, Shengxiang Qi, "A method of airborne infrared and visible image matching based on HOG feature", Proc. SPIE 10609, MIPPR 2017: Pattern Recognition and Computer Vision, 106090Y (8 March 2018); doi: 10.1117/12.2285034; https://doi.org/10.1117/12.2285034
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