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Image Registration Technique of Hyperspectral Image using Optical Flow Algorithm

机译:基于光流算法的高光谱图像配准技术

摘要

The present invention provides a hyperspectral imaging module 110 for acquiring a hyperspectral image of a river flow velocity measurement site, wherein the hyperspectral image has n band ratios for the same observation object, a hyperspectral imaging module 110; The hyperspectral imaging module 110 receives the hyperspectral images for each of the n band ratios, and performs singularity detection for each of the n hyperspectral images in a predetermined manner, and the position of the point determined as the singularity. a singular point calculation module 120 for storing information in the singular point storage unit 122; and a singular point determination module 130 for determining a final singular point by using the n hyperspectral images composed of first to nth hyperspectral images; Including, the singular point determination module 130, with respect to the position information of the point determined as the singularity in the n-th hyperspectral image, in the first to n-th hyperspectral images, the number of times that the position information is repeatedly determined as a singularity It provides an image matching system that counts and determines the location information as a final singular point in a preset manner using the counted number of times.
机译:本发明提供了一种用于获取河流流速测量点的高光谱图像的高光谱成像模块110,其中高光谱图像对于同一观察对象具有n个频带比,高光谱成像模块110;高光谱成像模块110接收n个频带比中每一个的高光谱图像,并以预定方式对n个高光谱图像中的每一个以及确定为奇异性的点的位置执行奇异性检测。奇点计算模块120,用于将信息存储在奇点存储单元122中;以及奇点确定模块130,用于通过使用由第一到第n个高光谱图像组成的n个高光谱图像来确定最终奇点;包括奇点确定模块130,关于在第n个高光谱图像中确定为奇点的点的位置信息,在第一到第n个高光谱图像中,位置信息被重复确定为奇异点的次数它提供了一个图像匹配系统,该系统使用计数的次数以预设方式将位置信息计数并确定为最终奇异点。

著录项

  • 公开/公告号KR20220065435A

    专利类型

  • 公开/公告日2022-05-20

    原文格式PDF

  • 申请/专利权人 단국대학교 산학협력단;

    申请/专利号KR1020200151951

  • 发明设计人 김동수;유호준;

    申请日2020-11-13

  • 分类号G06T7/33;G06T5;G06T7/73;G06V10/40;

  • 国家 KR

  • 入库时间 2022-08-25 01:09:41

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