Automated Detection of Macrobenthos in Tidal Flats Using Unmanned Aerial Vehicles and Deep Learning

被引：0
|
作者：
Dong-Woo, Kim [1 ]
Seung-Woo, Son [1 ]
Sang-Hyuk, Lee [1 ]
Jeongho, Yoon [1 ]
机构：
[1] Korea Environment Institute, Water and Land Research Group, Sejong-si,30147, Korea, Republic of
来源：
International Geoscience and Remote Sensing Symposium (IGARSS) | 2023年 / 2023-July卷
关键词：
Compilation and indexing terms; Copyright 2024 Elsevier Inc;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：6251 / 6253
相关论文
共 50 条
  • [1] AUTOMATED DETECTION OF MACROBENTHOS IN TIDAL FLATS USING UNMANNED AERIAL VEHICLES AND DEEP LEARNING
    Kim, Dong-Woo
    Son, Seung-Woo
    Lee, Sang-Hyuk
    Yoon, Jeongho
    IGARSS 2023 - 2023 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2023, : 6251 - 6253
  • [2] Surface sediment classification using a deep learning model and unmanned aerial vehicle data of tidal flats
    Kim, Kye-Lim
    Woo, Han-Jun
    Jou, Hyeong-Tae
    Jung, Hahn Chul
    Lee, Seung-Kuk
    Ryu, Joo-Hyung
    MARINE POLLUTION BULLETIN, 2024, 198
  • [3] Deep learning for unmanned aerial vehicles detection: A review
    Al-lQubaydhi, Nader
    Alenezi, Abdulrahman
    Alanazi, Turki
    Senyor, Abdulrahman
    Alanezi, Naif
    Alotaibi, Bandar
    Alotaibi, Munif
    Razaque, Abdul
    Hariri, Salim
    COMPUTER SCIENCE REVIEW, 2024, 51
  • [4] Efficient Detection of GPS Spoofing Attacks on Unmanned Aerial Vehicles Using Deep Learning
    Agyapong, Richmond Asiedu
    Nabil, Mahmoud
    Nuhu, Abdul-Rauf
    Rasul, Mushahid, I
    Homaifar, Abdollah
    2021 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (IEEE SSCI 2021), 2021,
  • [5] Automated Tree Detection and Density Calculation using Unmanned Aerial Vehicles
    Guldogan, Olcay
    Rotola-Pukkila, Jani
    Balasundaram, Uvaraj
    Le, Thanh-Hai
    Mannar, Kamal
    Chrisna, Taufan Mega
    Gabbouj, Moncef
    2016 30TH ANNIVERSARY OF VISUAL COMMUNICATION AND IMAGE PROCESSING (VCIP), 2016,
  • [6] Localization of Unmanned Aerial Vehicles in Corridor Environments using Deep Learning
    Padhy, Ram Prasad
    Ahmad, Shahzad
    Verma, Sachin
    Bakshi, Sambit
    Sa, Pankaj Kumar
    2020 25TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), 2021, : 9423 - 9428
  • [7] Transformers and deep CNNs for Unmanned Aerial Vehicles Detection
    Qi, Zhangyang
    Laplante, Jean-Francois
    Akhloufi, Moulay A.
    UNMANNED SYSTEMS TECHNOLOGY XXIV, 2022, 12124
  • [8] Unmanned Aerial Vehicle Detection and Identification Using Deep Learning
    Liu, Hongjie
    IWCMC 2021: 2021 17TH INTERNATIONAL WIRELESS COMMUNICATIONS & MOBILE COMPUTING CONFERENCE (IWCMC), 2021, : 514 - 518
  • [9] Motor Anomaly Detection for Unmanned Aerial Vehicles Using Reinforcement Learning
    Lu, Huimin
    Li, Yujie
    Mu, Shenglin
    Wang, Dong
    Kim, Hyoungseop
    Serikawa, Seiichi
    IEEE INTERNET OF THINGS JOURNAL, 2018, 5 (04): : 2315 - 2322
  • [10] Survey on Monocular Depth Estimation for Unmanned Aerial Vehicles using Deep Learning
    Florea, Horatiu
    Nedevschi, Sergiu
    2022 IEEE 18TH INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTER COMMUNICATION AND PROCESSING, ICCP, 2022, : 319 - 326
12345