多传感器光谱视频成像系统中的图像对齐研究

Research on image alignment in multi-sensor spectral video imaging system

  • 摘要: 多光谱视频成像能够同时采集场景的空间、时间和光谱信息,可广泛应用于遥感、农业监测和材质分析等多个领域。然而传统光谱仪往往包含光学色散分光结构,系统复杂、标定困难,难以普遍推广。因此,文中搭建了一种多传感器小型化光谱视频成像系统,提出了一种基于相机姿态的多视点图像或视频快速对齐方法,实现了嵌入式平台上的多光谱视频的实时采集和对齐。通过复杂场景的实验验证,文中提出的对齐方法在PSNR、SSIM客观指数以及主观视觉评价中均取得了良好的效果。

     

    Abstract: Multi-spectral video imaging can simultaneously collect spatial, temporal and spectral information of scenes. It can be widely used in many fields such as remote sensing, agricultural monitoring, material analysis, etc. However, traditional spectrometers often depend on optical dispersion spectroscopy structure, which makes the system complex and difficult to calibrate, and it is difficult to popularize. Therefore, a miniaturized multi-sensor spectral video imaging system was built in this paper. A fast alignment method of multi-view image or video based on camera poses was proposed to realize real-time acquisition and alignment of multi-spectral video on embedded system. Through the experimental verification of complex scenes, the alignment method proposed in this paper has achieved desired results in both objective index (e.g. PSNR, SSIM) and subjective visual effects.

     

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