A comprehensive review for typical applications based upon unmanned aerial vehicle platform
Unmanned aerial vehicles (UAVs) have been widely applied in military and civilian fields
due to their flexibility and effectiveness. As a vital component of UAVs, the vision system has …
due to their flexibility and effectiveness. As a vital component of UAVs, the vision system has …
Intellicise wireless networks from semantic communications: A survey, research issues, and challenges
Information and communication technology (ICT) has been an essential part of modern
society. However, the current communication systems are not sufficient to meet the demands …
society. However, the current communication systems are not sufficient to meet the demands …
Uavformer: A composite transformer network for urban scene segmentation of uav images
S Yi, X Liu, J Li, L Chen - Pattern Recognition, 2023 - Elsevier
Urban scenes segmentation based on UAV (Unmanned aerial vehicle) view is a
fundamental task for the applications of smart city such as city planning, land use monitoring …
fundamental task for the applications of smart city such as city planning, land use monitoring …
Automatic damage segmentation in pavement videos by fusing similar feature extraction siamese network (SFE-SNet) and pavement damage segmentation capsule …
J Dong, N Wang, H Fang, R Wu, C Zheng, D Ma… - Automation in …, 2022 - Elsevier
Discovering damage in pavement videos is critical for the assessment of pavement
conditions. Unfortunately, existing damage segmentation methods in pavement videos have …
conditions. Unfortunately, existing damage segmentation methods in pavement videos have …
[HTML][HTML] A survey on semantic communications: technologies, solutions, applications and challenges
Semantic Communication (SC) has emerged as a novel communication paradigm that
provides a receiver with meaningful information extracted from the source to maximize …
provides a receiver with meaningful information extracted from the source to maximize …
Pattern detection and prediction using deep learning for intelligent decision support to identify fish behaviour in aquaculture
Abstract The United Nations' Sustainable Development Goals (SDGs) underscore
aquaculture as a sustainable practice. However, many countries rely on ineffective …
aquaculture as a sustainable practice. However, many countries rely on ineffective …
Global feature attention network: Addressing the threat of adversarial attack for aerial image semantic segmentation
Z Wang, B Wang, Y Liu, J Guo - Remote Sensing, 2023 - mdpi.com
Aerial Image Semantic segmentation based on convolution neural networks (CNNs) has
made significant process in recent years. Nevertheless, their vulnerability to adversarial …
made significant process in recent years. Nevertheless, their vulnerability to adversarial …
Methods and datasets on semantic segmentation for Unmanned Aerial Vehicle remote sensing images: A review
Abstract Unmanned Aerial Vehicle (UAV) has seen a dramatic rise in popularity for remote-
sensing image acquisition and analysis in recent years. It has brought promising results in …
sensing image acquisition and analysis in recent years. It has brought promising results in …
CCTseg: A cascade composite transformer semantic segmentation network for UAV visual perception
S Yi, J Li, G Jiang, X Liu, L Chen - Measurement, 2023 - Elsevier
Semantic segmentation could obtain the pixel level classification of surrounding
environments which is an essential task for autonomous vehicles and mobile robots visual …
environments which is an essential task for autonomous vehicles and mobile robots visual …
Context and difference enhancement network for change detection
At present, convolution neural networks have achieved good performance in remote sensing
image change detection. However, due to the locality of convolution, these methods are …
image change detection. However, due to the locality of convolution, these methods are …