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肖雄武

Supervisor of Master's Candidates


Main positions:中国测绘学会委员、中国GIS协会委员、灾害与生态环境航空遥感专委会副秘书长、国际数学地球学会中委会委员
Other Post:2022级博士班学术班主任、曾任2018级研究生学术班主任
Alma Mater:武汉大学
Education Level:With Certificate of Graduation for Doctorate Study
Status:Employed
School/Department:测绘遥感信息工程国家重点实验室
  • Discipline: Computer Applications Technology;
    Signal and Information Processing;
    Photogrammetry and Remote Sensing
  • Contact Information:027-68778064; +86 186-0276-2010
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    Current position: Home >> Scientific Research >> Paper Publications

    A novel real-time matching and pose reconstruction method for low-overlap agricultural UAV images with repetitive textures

    Hits : Praise

    Impact Factor:10.6

    DOI number:10.1016/j.isprsjprs.2025.05.009

    Affiliation of Author(s):LIESMARS, Wuhan University

    Teaching and Research Group:航空航天摄影测量研究室

    Journal:ISPRS Journal of Photogrammetry and Remote Sensing

    Funded by:国家自然科学金、国际重点研发计划、湖北省自然科学基金

    Abstract:Real-time processing of UAV-based agricultural remote sensing images is essential for precision agriculture, especially for low-overlap, large-format image sequence. These images, characterized by large formats, repetitive textures, and low overlap, pose significant challenges for real-time UAV photogrammetry. To address these challenges, this paper proposes a novel real-time matching and pose reconstruction method tailored to low-overlap agricultural UAV imagery. Firstly, an adaptive algorithm for robust map initialization is introduced, dynamically adjusting matching windows and thresholds to ensure successful map initialization in difficult conditions. Secondly, a robust and rapid feature extraction method is developed, integrating global texture information to improve feature repeatability and matching accuracy, especially in weak-textured regions. Thirdly, a multi-model adaptive tracking method is proposed, automatically selecting between four tracking modes to enhance 2D-3D matching point numbers and uniformity, ensuring robust tracking in complex environments. Lastly, a hybrid local–global dual-threading optimization strategy is implemented, combining local graph optimization with global loop closure detection, improving both accuracy and global consistency of pose reconstruction while maintaining high real-time efficiency. Experimental results show that the proposed system is the only one capable of real-time processing of low-overlap large-format UAV images, achieving a processing speed of approximately 3.4 frames per second, this performance is four times faster than the Photoscan (Fast mode) software with a reprojection error of within 1.1 pixels, meeting the real-time UAV photogrammetry requirements for precision agriculture.

    Note:中科院一区TOP期刊

    Co-author:Gui-Song Xia,Miaozhong Xu,Zhenfeng Shao,Jianya Gong,Deren Li

    Indexed by:Journal paper

    Correspondence Author:Wenhu Qu

    Discipline:Engineering

    Document Type:J

    Volume:226

    Page Number:54-75

    Number of Words:12253

    ISSN No.:1872-8235

    Translation or Not:no

    Date of Publication:2025-05-15

    Included Journals:SCI

    Links to published journals:https://doi.org/10.1016/j.isprsjprs.2025.05.009