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全景畸变正切改正的高光谱影像视场拼接方法

  • Beihang University
  • China Aerospace Science and Technology Corporation

科研成果: 期刊稿件 › 文章 › 同行评审

摘要

In order to obtain a wide field of view(FOV) and high spatial resolution hyperspectral image while the scanning mirror swinging, the channel separation, FOV and mechanical splicing are required for the geostationary full spectrum hyperspectral imager. If the sub-FOV images are directly spliced, the spectral information of the feature will be distorted because of the different geometric deformation between the sub-FOVs. It was assumed that the difference of the corresponding image points' coordinates between the sub-FOVs was caused by the changes of each sub-FOVs' internal parameters in the paper. A block adjustment method based on the panoramic distortion tangent correction formula was proposed to achieve FOV stitching in the image side coordinate system. The FOV stitching experiment was completed on the basis of four sub-FOVs simulation images in the visible to near-infrared channel, and the stitching accuracy of 0.72 pixels was achieved. The splicing accuracy of the proposed method is close to the block adjustment method's based on the collinear conditional equation. The algorithm is simpler and suitable for primary image production without the assistance of control points and DEM.

投稿的翻译标题FOV stitching method for hyperspectral image with tangent correction of panoramic distortion
源语言繁体中文
期刊论文编号0303005
期刊Infrared and Laser Engineering
卷48
期3
DOI
出版状态已出版 - 25 3月 2019

关键词

  • Block adjustment
  • Collinear conditional equation
  • FOV stitching
  • Tangent correction

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