A complete YOLO-based ship detection method for thermal infrared remote sensing images under complex backgrounds

L Li, L Jiang, J Zhang, S Wang, F Chen - Remote Sensing, 2022 - mdpi.com
The automatic ship detection method for thermal infrared remote sensing images (TIRSIs) is
of great significance due to its broad applicability in maritime security, port management …

Large-scale detection of marine debris in coastal areas with Sentinel-2

M Rußwurm, SJ Venkatesa, D Tuia - Iscience, 2023 - cell.com
Detecting and quantifying marine pollution and macroplastics is an increasingly pressing
ecological issue that directly impacts ecology and human health. Here, remote sensing can …

Moving Ship Optimal Association for Maritime Surveillance: Fusing AIS and Sentinel-2 Data

Z Liu, J Xu, J Li, A Plaza, S Zhang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Nowadays, a variety of different sources can be combined together to measure and monitor
maritime human activities. Reliable data fusion techniques are essential to associate the …

Dataset and Benchmark for Ship Detection in Complex Optical Remote Sensing Image

J Hu, X Zhi, T Shi, J Wang, Y Li… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Ship detection plays a pivotal role in numerous military and civil applications, yet detecting
ships in complex maritime and aerial environments remains a challenging task. While …

[HTML][HTML] Detecting Marine pollutants and Sea Surface features with Deep learning in Sentinel-2 imagery

K Kikaki, I Kakogeorgiou, I Hoteit… - ISPRS Journal of …, 2024 - Elsevier
Despite the significant negative impact of marine pollution on the ecosystem and humans, its
automated detection and tracking from the broadly available satellite data is still a major …

Monitoring Maritime Ship Characteristics Using Satellite Remote Sensing Data from Different Sensors

WK Baek, E Kim, HK Jeon, KJ Lee, SW Kim… - Ocean Science …, 2024 - Springer
Ship monitoring is important for understanding human maritime activities. Automatic
identification systems are widely adopted for ship monitoring. It is not possible to extract ship …

Ship detection in reefs and deep-sea with medium-high resolution images

X Hong, D Fu, J Tang, V Lyne, M Luo… - Geo-spatial Information …, 2024 - Taylor & Francis
Accurate and efficient ship detection is crucial for ocean monitoring and management,
especially in reefs and deep-sea, where fishing and illegal activities threaten sustainability …

Clustering-based representation learning through output translation and its application to remote-sensing images

Q Li, B Li, JM Garibaldi, G Qiu - Remote Sensing, 2022 - mdpi.com
In supervised deep learning, learning good representations for remote-sensing images
(RSI) relies on manual annotations. However, in the area of remote sensing, it is hard to …

UOW-Vessel: A Benchmark Dataset of High-Resolution Optical Satellite Images for Vessel Detection and Segmentation

L Bui, SL Phung, Y Di, T Le… - Proceedings of the …, 2024 - openaccess.thecvf.com
In this paper, we introduce UOW-Vessel, a benchmark dataset of high-resolution optical
satellite images for vessel detection and segmentation. Our dataset consists of 3,500 …

[HTML][HTML] Enhancement of Sentinel-2A Images for Ship Detection via Real-ESRGAN Model

CF Aldoğan, K Aksu, H Demirel - Applied Sciences, 2024 - mdpi.com
Ship detection holds great value regarding port management, logistics operations, ship
security, and other crucial issues concerning surveillance and safety. Recently, ship …