为了提升光电系统对于目标的探测识别能力，实现单光子探测三维点云数据和二维可见光图像的融合处理，提出了单光子探测成像系统的融合处理算法，采用直接线性变换方法并利用同名特征点的选取和间接平差算法解决了融合处理过程中的参数标定问题。通过实验数据进行融合处理算法验证，实现了分辨率1024×768像素单光子探测三维点云和二维可见光图像的像素级融合处理。实验结果表明，提出的融合处理算法能够有效实现三维、二维图像的融合。
Abstract
In order to improve the detection and identification ability of the photoelectric system for the target, and achieve the fusion processing of single-photon detection of 3D point cloud data and 2D visible light images, the fusion processing algorithm of single-photon detection imaging system was proposed. A direct linear transformation method was used, and the parameter calibration problems in the process of fusion processing were solved by selection of homonymic feature points and indirect adjustment algorithm. The fusion processing algorithm was verified by the experimental data, and the pixel-level fusion processing with 1 024×768 resolution single-photon detection of 3D point cloud data and 2D visible light images was achieved. The experimental results show that the proposed fusion processing algorithm can effectively achieve the fusion of 3D and 2D images.
关键词
三维点云 /
融合 /
可见光图像 /
单光子
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Key words
three-dimensional point cloud /
single photon /
visible light images /
fusion
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