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Cezary Specht, Oktawia Lewicka, Mariusz Specht, Pawel Dabrowski and Pawel Burdziakowski
The human impact on the ecosystem has been particularly evident in the last century; it transforms the Earth?s surface on an unprecedented scale and brings about irreversible changes. One example is an oceanographic phenomenon known as a tombolo, i.e., a...
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Bohyeon Hwang, Kideok Do and Sungyeol Chang
Constant changes occur in coastal areas over different timescales, requiring observation and modeling. Specifically, modeling morphological changes resulting from short-term events, such as storms, is of great importance in coastal management. Parameter ...
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Jin-Hyo Kim and Sang-Min Sung
Unmanned aerial vehicle (UAV) photogrammetry is an emerging means of acquiring high-precision rapid spatial information and data because it is cost-effective and highly efficient. However, securing uniform quality in the results of UAV photogrammetry is ...
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Hui Deng, Wenjiang Zhang, Xiaoqian Zheng and Houxi Zhang
The accurate and timely identification of crops holds paramount significance for effective crop management and yield estimation. Unmanned aerial vehicle (UAV), with their superior spatial and temporal resolution compared to satellite-based remote sensing...
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Jiangtao Ji, Xiaofei Wang, Hao Ma, Fengxun Zheng, Yi Shi, Hongwei Cui and Shaoshuai Zhao
Chlorophyll a and b content (Cab) and leaf area index (LAI) are two key parameters of crops, and their quantitative inversions are important for growth monitoring and the field management of wheat. However, due to the close correlation between the spectr...
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Jiuyuan Zhang, Jingshan Lu, Qiuyan Zhang, Qimo Qi, Gangjun Zheng, Fadi Chen, Sumei Chen, Fei Zhang, Weimin Fang and Zhiyong Guan
Crown diameter is one of the crucial indicators for evaluating the adaptability, growth quality, and ornamental value of garden chrysanthemums. To accurately obtain crown diameter, this study employed an unmanned aerial vehicle (UAV) equipped with a RGB ...
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Aleksandra Pachuta, Boguslawa Berner, Jerzy Chojnacki, Gerhard Moitzi, Jirí Dvorák, Anna Keutgen, Jan Najser, Jan Kielar, Tomá? Najser and Marcel Mikeska
The study aimed to assess the quality of spraying of ornamental conifer using a multi-rotor drone. We examined how the speed of drone movement and the propellers? spin speed can affect the deposition quality of the sprayed liquid in the crown of blue spr...
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Yuan Zhong, Ye Jin, Shaoqing Xu, Xiangrui Liu and Jianli Song
Thrips have become some of the most challenging pests to control in mango production due to their short developmental time, hidden locations and resistance to pesticides, in the tropical regions of China. To improve pesticides efficacy, the tank-mix adju...
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Xiaoyu Zhu, Huachao Yang, Hefang Bian, Yang Mei, Bolun Zhang and Peng Xue
Underground coal mining will inevitably cause serious ground deformation, and therefore, preventive mining-induced deformation analysis (MIDA) is of great importance in assisting mining planning and decision-making. Current web-based Geographic Informati...
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Ahram Song
Deep learning techniques have recently shown remarkable efficacy in the semantic segmentation of natural and remote sensing (RS) images. However, these techniques heavily rely on the size of the training data, and obtaining large RS imagery datasets is d...
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Yu Gu, Guoxin Zhang, Ying Bi, Wenyue Meng, Xiaoping Ma and Wenjun Ni
Moving mass control (MMC) is considered a promising approach to regulating the attitude of an aircraft via the motion of internal moving masses. The present investigation proposes a moving mass control scheme for a high-altitude long-endurance (HALE) unm...
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Lingtong Min, Jiawei Li, Yixin He and Weiguang Wang
This paper investigates the secure rate-splitting multiple access (RSMA) cooperation for the maritime cognitive unmanned aerial vehicle (UAV) network. Specifically, we first take into account the primary privacy information and the secondary maritime UAV...
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Peng Qi, Lanting Zhang, Zhichong Wang, Hu Han, Joachim Müller, Tian Li, Changling Wang, Zhan Huang, Miao He, Yajia Liu and Xiongkui He
Background: Unmanned Aerial Vehicles (UAVs) are increasingly being used commercially for crop protection in East Asia as a new type of equipment for pesticide applications, which is receiving more and more attention worldwide. A new model of pear cultiva...
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Khalifa AL-Dosari, Ziad Hunaiti and Wamadeva Balachandran
Drone deployment in Qatar has been lagging behind that in other countries due to a wide range of reported challenges. This study developed a framework to address these operational gaps and serve as a roadmap for different stakeholders to enable drone app...
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Yan Li, Wen Yan, Sai An, Wanlin Gao, Jingdun Jia, Sha Tao and Wei Wang
Accurate and continuous monitoring of crop growth is vital for the development of precision agriculture. Unmanned aerial vehicle (UAV) and satellite platforms have considerable complementarity in high spatial resolution (centimeter-scale) and fixed revis...
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Chuanyun Wang, Linlin Meng, Qian Gao, Jingjing Wang, Tian Wang, Xiaona Liu, Furui Du, Linlin Wang and Ershen Wang
Aiming at the problems of low detection accuracy and large computing resource consumption of existing Unmanned Aerial Vehicle (UAV) detection algorithms for anti-UAV, this paper proposes a lightweight UAV swarm detection method based on You Only Look Onc...
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Peter Povlsen, Anne Cathrine Linder, Hanne Lyngholm Larsen, Petar Durdevic, Daniel Ortiz Arroyo, Dan Bruhn, Cino Pertoldi and Sussie Pagh
Drones equipped with thermal cameras have recently become readily available, broadening the possibilities for monitoring wildlife. The European hare (Lepus europaeus) is a nocturnal mammal that is closely monitored in Denmark due to populations declining...
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Yanbo Fu, Wenjie Zhao and Liu Liu
Ducted-fan tail-sitter unmanned aerial vehicles (UAVs) provide versatility and unique benefits, attracting significant attention in various applications. This study focuses on developing a safe reinforcement learning method for back-transition control be...
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Yao-Hua Ho and Yu-Jung Tsai
Climate-related natural disasters have affected the lives of thousands of people. Global warming creates warmer and drier conditions which increase the risk of wildfires. In large-scale disasters such as wildfires, search and rescue (SAR) operations beco...
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Zheng-Lian Su, Xun-Lin Jiang, Ning Li, Hai-Feng Ling and Yu-Jun Zheng
Unmanned aerial vehicles (UAVs) have been widely used for target detection in modern battlefields. From the viewpoint of the opponents, false target jamming is an effective approach to decrease the UAV detection ability or probability, but currently ther...
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