Crop marks detection through optical and multispectral imagery acquired by UAV

被引:4
|
作者
Casella, Vittorio [1 ]
Franzini, Marica [1 ]
Gorrini, Maria Elena [2 ]
机构
[1] Univ Pavia, Dept Civil Engn & Architecture, Pavia, Italy
[2] Univ Pavia, Dept Humanist Studies, Pavia, Italy
来源
2018 IEEE INTERNATIONAL CONFERENCE ON METROLOGY FOR ARCHAEOLOGY AND CULTURAL HERITAGE (METROARCHAEO 2018) | 2018年
关键词
archaeological survey; UAV; multispectral images; cropmark; NDVI; PHOTOGRAMMETRY; SYSTEMS;
D O I
10.1109/MetroArchaeo43810.2018.13615
中图分类号
K85 [文物考古];
学科分类号
0601 ;
摘要
The discovery of buried remains by means of aerial photography is very useful in archaeological studies. The paper illustrates a two-year project in which an archaeological site near Pavia, Northern Italy, was surveyed several times by an Unmanned Aerial Vehicle (UAV, or drone), equipped with optical and multispectral cameras. Intensity and color orthophotos were produced as well as the NDVI (Normalized Difference Vegetation Index) images. Several very clear and detailed crop marks have been observed whose detection has been performed by visual inspection and by a semi-automatic segmentation procedure. The project confirms the value of drones in terms of operational flexibility and capability of acquiring images having high detail and quality.
引用
收藏
页码:173 / 177
页数:5
相关论文
共 50 条
  • [21] NOVEL SINGLE TREE DETECTION BY TRANSFORMERS USING UAV-BASED MULTISPECTRAL IMAGERY
    Dersch, S.
    Schoettl, A.
    Krzystek, P.
    Heurich, M.
    XXIV ISPRS CONGRESS IMAGING TODAY, FORESEEING TOMORROW, COMMISSION II, 2022, 43-B2 : 981 - 988
  • [22] Early Detection of Southern Pine Beetle Attack by UAV-Collected Multispectral Imagery
    Kanaskie, Caroline R.
    Routhier, Michael R.
    Fraser, Benjamin T.
    Congalton, Russell G.
    Ayres, Matthew P.
    Garnas, Jeff R.
    REMOTE SENSING, 2024, 16 (14)
  • [23] Leek growth monitoring using multispectral UAV imagery
    Haumont, J.
    Lootens, P.
    Cool, S.
    Van Beek, J.
    Raymaekers, D.
    Ampe, E. M.
    De Cuypere, T.
    Bes, O.
    Bodyn, J.
    Saeys, W.
    PRECISION AGRICULTURE'21, 2021, : 501 - 507
  • [24] Spinach Yield Mapping Using Multispectral UAV Imagery
    Jiang, Xintong
    Sun, Shangpeng
    Adamchuk, Viacheslav
    Weisman, Gil
    Ramsay, Patrick
    Rincon, Andres Rello
    SMART AGRICULTURAL TECHNOLOGY, 2024, 7
  • [25] Automated Tax Mapping from UAV Multispectral Imagery
    Srinivasa Raju Kolanuvada
    Goutaam Thiyagarajan
    Journal of the Indian Society of Remote Sensing, 2021, 49 : 607 - 611
  • [26] Automated Tax Mapping from UAV Multispectral Imagery
    Kolanuvada, Srinivasa Raju
    Thiyagarajan, Goutaam
    JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING, 2021, 49 (03) : 607 - 611
  • [27] Neural Network-based Stress Detection in Crop Multispectral Imagery for Precision Agriculture
    Reyes-Hung, Lidices
    Soto, Ismael
    Majumdar, Arun K.
    2024 14TH INTERNATIONAL SYMPOSIUM ON COMMUNICATION SYSTEMS, NETWORKS AND DIGITAL SIGNAL PROCESSING, CSNDSP 2024, 2024, : 551 - 556
  • [28] Crop Monitoring Using Sentinel-2 and UAV Multispectral Imagery: A Comparison Case Study in Northeastern Germany
    Li, Minhui
    Shamshiri, Redmond R.
    Weltzien, Cornelia
    Schirrmann, Michael
    REMOTE SENSING, 2022, 14 (17)
  • [29] Damage Assessment of Rice Crop after Toluene Exposure Based on the Vegetation Index (VI) and UAV Multispectral Imagery
    Kim, Hyewon
    Kim, Woojung
    Kim, Sang Don
    REMOTE SENSING, 2021, 13 (01) : 1 - 20
  • [30] Histogram-Based Autoadaptive Filter for Destriping NDVI Imagery Acquired by UAV-Loaded Multispectral Camera
    Lin, Jiayuan
    Zuo, Hang
    Ye, Yaya
    Liao, Xiaohan
    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2019, 16 (04) : 648 - 652