测绘通报 ›› 2025, Vol. 0 ›› Issue (2): 113-117.doi: 10.13474/j.cnki.11-2246.2025.0220

• 学术研究 • 上一篇    下一篇

一种正射遥感影像辅助的铁塔视频地理定位方法

文志军1, 魏鹏程2, 张之政2, 姜瑞轩3, 唐芝青1, 廖莎1, 林琼琼1, 邵振峰2   

  1. 1. 湖南省第二测绘院, 湖南 长沙 410119;
    2. 武汉大学测绘遥感信息工程国家重点实验室, 湖北 武汉 430079;
    3. 武汉大学遥感信息工程学院, 湖北 武汉 430079
  • 收稿日期:2024-06-06 发布日期:2025-03-03
  • 作者简介:文志军(1980—),男,高级工程师,主要从事航测遥感、空间规划、地理信息等方面研究工作。E-mail:402667687@qq.com
  • 基金资助:
    湖南省自然科学基金(2024JJ8378);湖南省自然资源厅科技项目(20230131DJ)

A geographic positioning method for iron tower video assisted by orthorectified remote sensing images

WEN Zhijun1, WEI Pengcheng2, ZHANG Zhizheng2, JIANG Ruixuan3, TANG Zhiqing1, LIAO Sha1, LIN Qiongqiong1, SHAO Zhenfeng2   

  1. 1. The Second Surveying and Mapping Institute of Hunan Province, Hunan Provincial Satellite, Changsha 410119, China;
    2. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China;
    3 State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China
  • Received:2024-06-06 Published:2025-03-03

摘要: 对于山水林田湖草沙等重要的自然资源,传统的管理和监测模式往往存在效率低下、管理滞后的缺点,且容易忽略一些隐蔽的隐患区域,存在不容忽视的监测风险。在这一背景下,铁塔视频监测被认为具有广泛的视角和高度的远程观察优势具备实时、高清等特点,成为实现智能感知的关键手段。尤其是其中的自动定位技术,作为视频技术的核心,需要深入开展广泛的应用。自动定位技术的提高,不仅可以有效提高监管效率,降低人工投入,还不受气候影响。因此,在各行业的应用前景越来越广泛。本文以湖南省铁塔视频为例,提出了一种正射遥感影像辅助的监控视频地理定位方法,可以实现铁塔视频图像与正射影像之间的高精度坐标转换,解决了自然资源监管过程中精准定位困难的问题,使视频画面2 km范围内平原地区定位精度优于1 m,地形起伏较小的丘陵地区定位精度优于8 m。本文方法为铁塔视频监测的广泛应用提供了可行性方案。

关键词: 铁塔视频监测, 自然资源监管, 正射遥感影像, 地理定位

Abstract: In the realm of essential natural resources such as “mountains, rivers, forests, fields, lakes, grass, and sands,”conventional management and monitoring approaches often suffer from inefficiencies and lagging oversight. Moreover, these methodologies are prone to neglecting concealed hazard zones, thereby confronting an incontrovertible risk in monitoring. Against this backdrop, tower-mounted video surveillance is deemed to possess a comprehensive perspective and a heightened advantage in remote observation. Endowed with features such as real-time and high-definition capabilities, it emerges as a pivotal means for achieving intelligent perception. Particularly noteworthy is the automatic positioning technology within serving as the core of video technology, which necessitates extensive applications. Overcoming challenges associated with automatic positioning technology not only proves instrumental in significantly enhancing supervisory efficiency and reducing human intervention but also serves to transcend climatic impacts. Consequently, its application prospects span across various industries. Taking the case of tower-mounted video surveillance in Hunan province as an illustrative example, this paper proposes a video geo-localization method based on orthorectified remote sensing image. This method enables the accurate conversion of coordinates between tower-mounted video images and orthophoto images, effectively addressing the difficulty in precise positioning of natural resource regulation. The positioning accuracy of the plain area within 2 km of the video is better than 1 m, and the positioning accuracy of the hilly area with lees relief is better than 8 m.The proposed video geo-localization method outlined in this paper provides a feasible solution for the widespread application of tower-mounted video surveillance.

Key words: tower-mounted video surveillance, natural resource regulation, orthorectified remote sensing imagery, geo-localization

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