Boost precision agriculture with unmanned aerial vehicle remote sensing and edge intelligence: A survey

J Liu, J Xiang, Y Jin, R Liu, J Yan, L Wang - Remote Sensing, 2021 - mdpi.com
In recent years unmanned aerial vehicles (UAVs) have emerged as a popular and cost-
effective technology to capture high spatial and temporal resolution remote sensing (RS) …

AI for UAV-assisted IoT applications: A comprehensive review

N Cheng, S Wu, X Wang, Z Yin, C Li… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
With the rapid development of the Internet of Things (IoT), there are a dramatically
increasing number of devices, leading to the fact that only using terrestrial infrastructure can …

Large-scale deep learning based binary and semantic change detection in ultra high resolution remote sensing imagery: From benchmark datasets to urban …

S Tian, Y Zhong, Z Zheng, A Ma, X Tan… - ISPRS Journal of …, 2022 - Elsevier
With the acceleration of urban expansion, urban change detection (UCD), as a significant
and effective approach, can provide the change information with respect to geospatial …

[HTML][HTML] A review on object detection in unmanned aerial vehicle surveillance

A Ramachandran, AK Sangaiah - International Journal of Cognitive …, 2021 - Elsevier
Purpose Computer vision in drones has gained a lot of attention from artificial intelligence
researchers. Providing intelligence to drones will resolve many real-time problems …

Target detection method of UAV aerial imagery based on improved YOLOv5

X Luo, Y Wu, F Wang - Remote Sensing, 2022 - mdpi.com
Due to the advantages of small size, lightweight, and simple operation, the unmanned aerial
vehicle (UAV) has been widely used, and it is also becoming increasingly convenient to …

Deep-learning-based counting methods, datasets, and applications in agriculture: A review

G Farjon, L Huijun, Y Edan - Precision Agriculture, 2023 - Springer
The number of objects is considered an important factor in a variety of tasks in the
agricultural domain. Automated counting can improve farmers' decisions regarding yield …

Multi-species individual tree segmentation and identification based on improved mask R-CNN and UAV imagery in mixed forests

C Zhang, J Zhou, H Wang, T Tan, M Cui, Z Huang… - Remote Sensing, 2022 - mdpi.com
High-resolution UAV imagery paired with a convolutional neural network approach offers
significant advantages in accurately measuring forestry ecosystems. Despite numerous …

Inspection and identification of transmission line insulator breakdown based on deep learning using aerial images

MDF Ahmed, JC Mohanta, A Sanyal - Electric Power Systems Research, 2022 - Elsevier
The traditional methods of overhead power transmission line inspections are mostly
unsuited as the height of transmission towers is too high and wide. Detection and inspection …

[HTML][HTML] 影像大地测量学发展现状与趋势

李振洪, 朱武, 余琛, 张勤, 杨元喜 - 2023 - xb.chinasmp.com
随着遥感卫星系统的逐渐增多, 影像为研究地球形状和大小等大地测量参数提供了更高精度,
更高分辨率的数据支持, 推动了大地测量学科的发展, 也衍生出影像大地测量学(Imaging …

[HTML][HTML] YOLOD: A target detection method for UAV aerial imagery

X Luo, Y Wu, L Zhao - Remote Sensing, 2022 - mdpi.com
Target detection based on unmanned aerial vehicle (UAV) images has increasingly become
a hot topic with the rapid development of UAVs and related technologies. UAV aerial images …