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Pushbroom-Frame Imagery Co-Registration

机译:推扫式框架图像共同注册

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摘要

More and more littoral surveys are conducted with aerial platform sensor suites that include a hyperspectral pushbroom sensor and a frame camera. However, in some cases, data from auxiliary sensors may contain errors or are not available. For many research groups, a high-accuracy registration of the multi-sensor data relative to each other is essential, while absolute geo-location of each individual measurement is not. A co-registration procedure was developed for pseudo ortho-rectification of the hyperspectral imagery and to remove spatial distortions caused by the aircraft's trajectory during the survey based on a flat-earth assumption. This image-processing approach utilizes the aerial frame imagery as a reference. Each hyperspectral scan line is co-registered into the frame imagery coordinate system. The performance of the procedure was evaluated using hyperspectral imagery collected over northern New Hampshire and southern Maine. The evaluation results showed that the procedure is robust enough to pseudo ortho-rectify hyperspectral imagery over coastal areas and to remove significant spatial distortions.
机译:越来越多的沿海调查是通过空中平台传感器套件进行的,其中包括高光谱推扫帚传感器和框架相机。但是,在某些情况下,来自辅助传感器的数据可能包含错误或不可用。对于许多研究小组来说,多传感器数据相对于彼此的高精度配准是必不可少的,而每个单独测量的绝对地理位置则不是。根据平地假设,开发了一种共配准程序,用于对高光谱图像进行伪正射校正,并消除在调查过程中由飞机的轨迹引起的空间畸变。这种图像处理方法利用了航空影像作为参考。每条高光谱扫描线都共同注册到帧图像坐标系中。使用在新罕布什尔州北部和缅因州南部收集的高光谱图像评估了该程序的性能。评估结果表明,该程序具有足够的鲁棒性,可以对沿海地区的高光谱影像进行伪正射校正并消除明显的空间畸变。

著录项

  • 来源
    《Marine Geodesy》 |2012年第2期|p.141-157|共17页
  • 作者

    YURI RZHANOV; SHACHAK PEERI;

  • 作者单位

    Center for Coastal and Ocean Mapping, Joint Hydrographic Center, University of New Hampshire, Durham, New Hampshire, USA;

    Center for Coastal and Ocean Mapping, Joint Hydrographic Center, University of New Hampshire, 24 Colovos Road, Durham, NH 03824;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    hyperspectral; co-registration; frame imagery;

    机译:高光谱共同注册;框架图像;

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