Bulletin of Surveying and Mapping ›› 2025, Vol. 0 ›› Issue (2): 113-117.doi: 10.13474/j.cnki.11-2246.2025.0220

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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

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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