Ship detection with deep learning: a survey

MJ Er, Y Zhang, J Chen, W Gao - Artificial Intelligence Review, 2023 - Springer
Ship detection plays a pivotal role in efficient marine monitoring, port management, and safe
navigation. However, the development of ship detection techniques is vastly behind other …

[HTML][HTML] SAR ship detection based on salience region extraction and multi-branch attention

C Zha, W Min, Q Han, X Xiong, Q Wang… - International Journal of …, 2023 - Elsevier
Ship detection of synthetic aperture radar (SAR) images has received much attention in the
field of military and people's livelihood. The radar pulse signals reflected by buildings and …

Ship Detection with Deep Learning in Optical Remote-Sensing Images: A Survey of Challenges and Advances

T Zhao, Y Wang, Z Li, Y Gao, C Chen, H Feng, Z Zhao - Remote Sensing, 2024 - mdpi.com
Ship detection aims to automatically identify whether there are ships in the images, precisely
classifies and localizes them. Regardless of whether utilizing early manually designed …

A Ship Detection Model Based on YOLOX with Lightweight Adaptive Channel Feature Fusion and Sparse Data Augmentation

Q Zhang, Y Huang, R Song - 2022 18th IEEE International …, 2022 - ieeexplore.ieee.org
Accurate and real-time detection of ships has become an essential part in maritime video
surveillance and plays a vital role in national territorial water security. However, the existing …

[HTML][HTML] VHRShips: An extensive benchmark dataset for scalable deep learning-based ship detection applications

S Kızılkaya, U Alganci, E Sertel - ISPRS International Journal of Geo …, 2022 - mdpi.com
The classification of maritime boats and ship targets using optical satellite imagery is a
challenging subject. This research introduces a unique and rich ship dataset named Very …

Multi‐granularity feature enhancement network for maritime ship detection

L Ying, D Miao, Z Zhang, H Zhang… - CAAI Transactions on …, 2024 - Wiley Online Library
Due to the characteristics of high resolution and rich texture information, visible light images
are widely used for maritime ship detection. However, these images are susceptible to sea …

基于遥感图像的船舶目标检测方法综述.

王伟 - Telecommunication Engineering, 2020 - search.ebscohost.com
(Southwest China Institute of Electronic Technology, Chengdu 610036, China) Abstract:
How to detect all kinds of ship targets accurately and quickly in complex environment is an …

SeaDSC: A video-based unsupervised method for dynamic scene change detection in unmanned surface vehicles

L Trinh, A Anwar, S Mercelis - Proceedings of the IEEE/CVF …, 2024 - openaccess.thecvf.com
Recently, there has been an upsurge in the research on maritime vision, where a lot of
works are influenced by the application of computer vision for Unmanned Surface Vehicles …

[HTML][HTML] Lightweight Single-Stage Ship Object Detection Algorithm for Unmanned Surface Vessels Based on Improved YOLOv5

H Sun, W Zhang, S Yang, H Wang - Sensors, 2024 - mdpi.com
Object detection is applied extensively in various domains, including industrial
manufacturing, road traffic management, warehousing and logistics, and healthcare. In ship …

A ship detection method in complex background via mixed attention model

H Meng, F Yuan, Y Tian, H Wei - Arabian Journal for Science and …, 2022 - Springer
With the development of deep learning, recent object detection methods have made
considerable progress. Unlike other simple visual object detection problems, it is more …