Research on real-time and fast matching method of airborne infrared images

Xiangzhen Li; Yuanqing Xia; Hongcheng Yin; Xiaodan Xie; Xiao Wei

doi:10.1117/12.3015247

30 April 2024 Research on real-time and fast matching method of airborne infrared images

Xiangzhen Li, Yuanqing Xia, Hongcheng Yin, Xiaodan Xie, Xiao Wei

Proceedings Volume 13156, Sixth Conference on Frontiers in Optical Imaging and Technology: Imaging Detection and Target Recognition; 131560H (2024) https://doi.org/10.1117/12.3015247
Event: Sixth Conference on Frontiers in Optical Imaging Technology and Applications (FOI2023), 2023, Nanjing, JS, China

Abstract

Image matching is one of the key technologies of UAV video surveillance. In order to improve the accuracy and efficiency of image matching with different resolutions and scales, a UAV image fast matching method is proposed. Based on the fast SIFT algorithm, the significant areas of the entire image are extracted from the whole image through histogram calculation, and the feature points are calculated on the significant areas. The feature points in two frames are matched, and the mismatched points are eliminated by parallel line algorithm to improve the SIFT feature matching efficiency. The experimental results show that the proposed method not only reduces the matching time, but also improves the accuracy of image matching while maintaining the image matching rate and the robustness of the algorithm, which proves the effectiveness of image matching.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xiangzhen Li, Yuanqing Xia, Hongcheng Yin, Xiaodan Xie, and Xiao Wei "Research on real-time and fast matching method of airborne infrared images", Proc. SPIE 13156, Sixth Conference on Frontiers in Optical Imaging and Technology: Imaging Detection and Target Recognition, 131560H (30 April 2024); https://doi.org/10.1117/12.3015247

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KEYWORDS

Feature extraction

Histograms

Infrared imaging

Infrared radiation

Unmanned aerial vehicles

Convolution

Image resolution

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