AI for UAV-assisted IoT applications: A comprehensive review
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 …
increasing number of devices, leading to the fact that only using terrestrial infrastructure can …
Boost precision agriculture with unmanned aerial vehicle remote sensing and edge intelligence: A survey
J Liu, J **ang, Y **, 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) …
effective technology to capture high spatial and temporal resolution remote sensing (RS) …
Large-scale deep learning based binary and semantic change detection in ultra high resolution remote sensing imagery: From benchmark datasets to urban …
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 …
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 …
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 …
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
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 …
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 …
significant advantages in accurately measuring forestry ecosystems. Despite numerous …
Inspection and identification of transmission line insulator breakdown based on deep learning using aerial images
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 …
unsuited as the height of transmission towers is too high and wide. Detection and inspection …
[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 …
a hot topic with the rapid development of UAVs and related technologies. UAV aerial images …