A Review of Non-Contact Water Level Measurement Based on Computer Vision and Radar Technology

被引:7
|
作者
Wu, Zeheng [1 ]
Huang, Yu [1 ]
Huang, Kailin [1 ]
Yan, Kang [1 ]
Chen, Hua [1 ]
机构
[1] Wuhan Univ, State Key Lab Water Resources Engn & Management, Wuhan 430072, Peoples R China
关键词
water level measurement; non-contact; computer vision; radar technology; CAMERA IMAGES; RIVER; SURVEILLANCE;
D O I
10.3390/w15183233
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
As pioneering non-contact water level measurement technologies, both computer vision and radar have effectively addressed challenges posed by traditional water level sensors in terms of maintenance cost, real-time responsiveness, and operational complexity. Moreover, they ensure high-precision measurements in appropriate conditions. These techniques can be seamlessly integrated into unmanned aerial vehicle (UAV) systems, significantly enhancing the spatiotemporal granularity of water level data. However, computer-vision-based water level measurement methods face the core problems of accurately identifying water level lines and elevation calculations, which can lead to measurement errors due to lighting variations and camera position offsets. Although deep learning has received much attention in improving the generation, the effectiveness of the models is limited by the diversity of the datasets. For the radar water level sensor, the hardware structure and signal processing algorithms have to be further improved. In the future, by constructing more comprehensive datasets, developing fast calibration algorithms, and implementing multi-sensor data fusion, it is expected that the robustness, accuracy, and computational efficiency of water level monitoring will be significantly improved, laying a solid foundation for further innovations and developments of hydrological monitoring.
引用
收藏
页数:20
相关论文
共 50 条
  • [11] A non-contact gear measurement method based on laser vision
    Song L.-M.
    Qin M.-C.
    Li Z.-Y.
    Yang Y.-G.
    Li D.-P.
    Song, L.-M. (lilymay1976@126.com), 1600, Springer Verlag (10): : 237 - 240
  • [12] A non-contact gear measurement method based on laser vision
    宋丽梅
    覃名翠
    李宗艳
    杨燕罡
    李大鹏
    Optoelectronics Letters, 2014, 10 (03) : 237 - 240
  • [13] Non-contact Measurement of Object Based on Binocular Stereo Vision
    Tang, Gui-ji
    Peng, Tao
    2012 5TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING (CISP), 2012, : 267 - 270
  • [14] Non-contact Heart Rate Monitoring: A Comparative Study of Computer Vision and Radar Approaches
    Yang, Gengqian
    Metcalfe, Benjamin
    Watson, Robert
    Evans, Adrian
    COMPUTER VISION SYSTEMS, ICVS 2023, 2023, 14253 : 74 - 87
  • [15] Meal time computer vision system for non-contact measurement of object volume
    Wang, Zh. J.
    Pang, D. W.
    2008 PROCEEDINGS OF INFORMATION TECHNOLOGY AND ENVIRONMENTAL SYSTEM SCIENCES: ITESS 2008, VOL 3, 2008, : 942 - 947
  • [16] Non-contact temperature measurement by laser technology
    Huang, Fang
    Liu, Xiangxin
    Han, Junfeng
    Wang, Jing
    Li, Hui
    Wang, Wenjing
    Zhenkong Kexue yu Jishu Xuebao/Journal of Vacuum Science and Technology, 2013, 33 (07): : 642 - 646
  • [17] Research of non-contact stiffness measurement technology
    Liu, Wenxuan
    Wang, Huifeng
    Wang, Guanglin
    Shao, Dongxiang
    Key Engineering Materials, 2014, 621 : 331 - 336
  • [18] A non-contact recognition for deflection influence line of footbridge based on computer vision
    Zhu Q.-K.
    Chen J.-B.
    Zhang Q.
    Du Y.-F.
    Gongcheng Lixue/Engineering Mechanics, 2021, 38 (08): : 145 - 153
  • [19] Robust water level measurement method based on computer vision
    Zhang, Di
    Tong, Junyan
    JOURNAL OF HYDROLOGY, 2023, 620
  • [20] Cascade method for water level measurement based on computer vision
    Zhang, Di
    Qiu, Jingyan
    ENVIRONMENTAL MODELLING & SOFTWARE, 2025, 184