End-to-end system for monitoring the state of rivers using a drone

被引:1
|
作者
Prokop, Katarzyna [1 ]
Polap, Karolina [2 ]
Wlodarczyk-Sielicka, Marta [3 ]
Jaszcz, Antoni [1 ,2 ]
机构
[1] Silesian Tech Univ, Fac Appl Math, Gliwice, Poland
[2] Marine Technol Ltd, Gdynia, Poland
[3] Maritime Univ Szczecin, Fac Nav, Szczecin, Poland
关键词
river monitoring; remote sensing; image processing; drones; VGG16; end-to-end system;
D O I
10.3389/fenvs.2023.1303067
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Automatic data analysis systems in the Internet of Things are a key element. One such case is the use of drones to monitor rivers, which are quite often located around built-up areas. This is an important element for the analysis of urban areas that are exposed to various environmental challenges such as pollution and animal habitats. Data analysis allows the detection of anomalies in the state of rivers, reducing the risk of ecological disasters or even floods. Additionally, constant control of areas enables analysis of the impact of urbanization on a given area as well as environmental protection. In this paper, we propose an end-to-end system, where the user performs measurements with a drone and the result is a segmentation mask from the U-Net network, but improved by image processing algorithms. The system is based on performing segmentation with a neural network, imposing the obtained mask on the image that was previously subjected to edge detection. All pixels under the mask are analyzed by the clustering method in terms of belonging to a river or bank. In addition, when there are other measurements from the same area, they are used to compare and analyze changes. The proposed system architecture is based on the automation of activities due to the combination of various graphics processing methods. Moreover, the method allows for obtaining more accurate segmentation results than classic methods. The proposition was tested on data gathered near river areas in southern Poland to show the possibilities and effectiveness of the system. Proposed methodology reached 0.8524 of Dice coefficient using VGG16 as encoder.
引用
收藏
页数:11
相关论文
共 50 条
  • [1] End-to-End Analysis and Design of a Drone Flight Controller
    Cheng, Zhuoqun
    West, Richard
    Einstein, Craig
    IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2018, 37 (11) : 2404 - 2415
  • [2] CASTOR end-to-end monitoring
    Rekatsinas, Theodoros
    Duellmann, Dirk
    Pakorski, Witold
    Ponce, Sebastien
    Rabacal, Bartolomeu
    Waldron, Dennis
    Wojcieszuk, Jacek
    17TH INTERNATIONAL CONFERENCE ON COMPUTING IN HIGH ENERGY AND NUCLEAR PHYSICS (CHEP09), 2010, 219
  • [3] End-to-end consensus using end-to-end channels
    Wiesmann, Matthias
    Defago, Xavier
    12TH PACIFIC RIM INTERNATIONAL SYMPOSIUM ON DEPENDABLE COMPUTING, PROCEEDINGS, 2006, : 341 - +
  • [4] Increasing operations profitability using an end-to-end, wireless internet, gas monitoring system
    McDougall, M
    Benterud, K
    JOURNAL OF CANADIAN PETROLEUM TECHNOLOGY, 2004, 43 (10): : 9 - 14
  • [5] Monitoring End-to-End Quality of Service in a Video Streaming System
    Lehikoinen, L.
    Raty, T.
    PROCEEDINGS OF THE 8TH IEEE/ACIS INTERNATIONAL CONFERENCE ON COMPUTER AND INFORMATION SCIENCE, 2009, : 750 - 754
  • [6] Autonomous end-to-end wireless monitoring system for railroad bridges
    Hoang, Tu
    Fu, Yuguang
    Mechitov, Kirill
    Sanchez, Fernando Gomez
    Kim, Jong R.
    Zhang, Dichuan
    Spencer Jr, Billie F.
    ADVANCES IN BRIDGE ENGINEERING, 2020, 1 (01):
  • [7] End-to-end Full-Stack Drone Measurements: A Case Study Using AERPAW
    Drago, Matteo
    Gurses, Anil
    Heath, Robert W., Jr.
    Sichitiu, Mihail L.
    Zorzi, Michele
    2023 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS WORKSHOPS, ICC WORKSHOPS, 2023, : 1422 - 1427
  • [8] End-to-end drone route planning in flexible airspace design
    Palmerius, Karljohan Lundin
    Uggla, Alexander
    Fylkner, Gustaf
    Lundberg, Jonas
    TRANSPORTATION RESEARCH INTERDISCIPLINARY PERSPECTIVES, 2024, 27
  • [9] End-to-end quality of service monitoring using ICMP and SNMP
    Choi, YH
    Kim, B
    Park, J
    UNIVERSAL MULTISERVICE NETWORKS, PROCEEDINGS, 2004, 3262 : 40 - 49
  • [10] An Enhanced End-to-End Object Detector for Drone Aerial Imagery
    Yu, Quan
    Tong, Qiang
    Miao, Lin
    Qi, Lin
    Liu, Xiulei
    IEEE ACCESS, 2025, 13 : 18798 - 18813