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首页> 外文会议>Optoelectronic imaging and multimedia technology IV >Large field-of-view range-gated laser imaging based on image fusion
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Large field-of-view range-gated laser imaging based on image fusion

机译：基于图像融合的大视场距离选通激光成像

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摘要

Laser range-gated imaging has great potentials in remote night surveillance with far detection distance and high resolution, even if under bad weather conditions such as fog, snow and rain. However, the field of view (FOV) is smaller than large objects like buildings, towers and mountains, thus only parts of targets are observed in one single frame, so that it is difficult for targets identification. Apparently, large FOV is beneficial to solve the problem, but the detection range is not available due to low illumination density in a large field of illumination matching with the FOV. Therefore, a large field-of-view range-gated laser imaging is proposed based on image fusion in this paper. Especially an image fusion algorithm has been developed for low contrast images. First of all, an infrared laser range-gated system is established to acquire gate images with small FOV for three different scenarios at night. Then the proposed image fusion algorithm is used for generating panoramas for the three groups of images respectively. Compared with raw images directly obtained by the imaging system, the fused images have a larger FOV with more detail target information. The experimental results demonstrate that the proposed image fusion algorithm is effective to expand the FOV of range-gated imaging.
机译：即使在雾天，雪天和雨天等恶劣天气条件下，激光测距门成像技术也具有在远距离监视和高分辨率下进行夜间夜间监视的巨大潜力。但是，视场（FOV）小于建筑物，塔楼和山脉之类的大物体，因此在一帧中只能观察到部分目标，因此很难识别目标。显然，大FOV有利于解决该问题，但是由于在与FOV匹配的大照明领域中由于低照明密度而导致检测范围不可用。因此，本文提出了一种基于图像融合的大视场距离选通激光成像技术。尤其是针对低对比度图像开发了图像融合算法。首先，建立了红外激光测距门系统，以在夜间针对三种不同场景获取具有较小FOV的门图像。然后将提出的图像融合算法分别用于生成三组图像的全景图。与通过成像系统直接获得的原始图像相比，融合图像具有更大的FOV和更详细的目标信息。实验结果表明，提出的图像融合算法有效地扩展了距离门控成像的视场。

著录项

  • 来源
    《Optoelectronic imaging and multimedia technology IV》|2016年|100201k.1-100201k.7|共7页
  • 会议地点 Beijing(CN)
  • 作者

    Ren Pengdao; Wang Xinwei; Sun Liang; You Ruirong; Lei Pingshun; Zhou Yan;

  • 作者单位

    University of Chinese Academy of Science, Beijing 100049, China,Optoelectronic System Laboratory, Institute of Semiconductors, CAS, Beijing 100083, China;

    Optoelectronic System Laboratory, Institute of Semiconductors, CAS, Beijing 100083, China;

    University of Chinese Academy of Science, Beijing 100049, China,Optoelectronic System Laboratory, Institute of Semiconductors, CAS, Beijing 100083, China;

    University of Chinese Academy of Science, Beijing 100049, China,Optoelectronic System Laboratory, Institute of Semiconductors, CAS, Beijing 100083, China;

    Optoelectronic System Laboratory, Institute of Semiconductors, CAS, Beijing 100083, China;

    Optoelectronic System Laboratory, Institute of Semiconductors, CAS, Beijing 100083, China;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    image fusion; laser imaging; range gated; night vision; image stitching;

    机译：图像融合激光成像范围门夜间视力;图像拼接;

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