A systematic review of advanced sensor technologies for non-destructive testing and structural health monitoring

S Hassani, U Dackermann - Sensors, 2023 - mdpi.com
This paper reviews recent advances in sensor technologies for non-destructive testing
(NDT) and structural health monitoring (SHM) of civil structures. The article is motivated by …

Use of machine learning and remote sensing techniques for shoreline monitoring: A review of recent literature

CAD Tsiakos, C Chalkias - Applied Sciences, 2023 - mdpi.com
Climate change and its effects (ie, sea level rise, extreme weather events) as well as
anthropogenic activities, determine pressures to the coastal environments and contribute to …

FFCA-YOLO for small object detection in remote sensing images

Y Zhang, M Ye, G Zhu, Y Liu, P Guo… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Issues, such as insufficient feature representation and background confusion, make
detection tasks for small object in remote sensing arduous. Particularly, when the algorithm …

[HTML][HTML] Advancing railway track health monitoring: Integrating GPR, InSAR and machine learning for enhanced asset management

M Koohmishi, S Kaewunruen, L Chang… - Automation in Construction, 2024 - Elsevier
Railway track health monitoring and maintenance are crucial stages in railway asset
management, aiming to enhance the train operation quality and service life. For this aim …

Climate change and coastal morphodynamics: Interactions on regional scales

P Chowdhury, NKG Lakku, S Lincoln, JK Seelam… - Science of the Total …, 2023 - Elsevier
Climate change and its impacts, combined with unchecked human activities, intensify
pressures on coastal environments, resulting in modification of the coastal morphodynamics …

A BIM-Based Approach for Pavement Monitoring Integrating Data from Non-Destructive Testing Methods (NDTs)

L Bertolini, F D'Amico, A Napolitano… - Infrastructures, 2023 - mdpi.com
Monitoring of critical civil engineering infrastructures has become a priority for public owners
and administrative authorities. Several laws and regulations have been issued on this topic …

Keypoint3D: Keypoint-Based and Anchor-Free 3D Object Detection for Autonomous Driving with Monocular Vision

Z Li, Y Gao, Q Hong, Y Du, S Serikawa, L Zhang - Remote Sensing, 2023 - mdpi.com
Autonomous driving has received enormous attention from the academic and industrial
communities. However, achieving full driving autonomy is not a trivial task, because of the …

Yolo-rs: a more accurate and faster object detection method for remote sensing images

T Xie, W Han, S Xu - Remote Sensing, 2023 - mdpi.com
In recent years, object detection based on deep learning has been widely applied and
developed. When using object detection methods to process remote sensing images, the …

Hierarchical disentanglement-alignment network for robust SAR vehicle recognition

W Li, W Yang, W Zhang, T Liu, Y Liu… - IEEE Journal of Selected …, 2023 - ieeexplore.ieee.org
Vehicle recognition is a fundamentale problem in synthetic aperture radar (SAR) image
interpretation. However, robustly recognizing vehicle targets is a challenging task in SAR …

Self-supervised learning for sar atr with a knowledge-guided predictive architecture

W Li, Y Wei, T Liu, Y Hou, Y Liu, L Liu - arXiv preprint arXiv:2311.15153, 2023 - arxiv.org
Recently, the emergence of a large number of Synthetic Aperture Radar (SAR) sensors and
target datasets has made it possible to unify downstream tasks with self-supervised learning …