FRS-Net: An efficient ship detection network for thin-cloud and FOG-covered high-resolution optical satellite imagery

Z Zhang, H Zheng, J Cao, X Feng… - IEEE Journal of Selected …, 2022 - ieeexplore.ieee.org
According to statistics, more than 50% of optical satellite images are covered by clouds or
fog. Moreover, the cloud cover rate is much higher in large bodies of water and nearby areas …

LMSD-Net: a lightweight and high-performance ship detection network for optical remote sensing images

Y Tian, X Wang, S Zhu, F Xu, J Liu - Remote Sensing, 2023 - mdpi.com
Ship detection technology has achieved significant progress recently. However, for practical
applications, lightweight ship detection still remains a very challenging problem since small …

An Improved S2A-Net Algorithm for Ship Object Detection in Optical Remote Sensing Images

J Li, M Chen, S Hou, Y Wang, Q Luo, C Wang - Remote Sensing, 2023 - mdpi.com
Ship detection based on remote sensing images holds significant importance in both military
and economic domains. Ships within such images exhibit diverse scales, dense …

A novel method of ship detection under cloud interference for optical remote sensing images

W Wang, X Zhang, W Sun, M Huang - Remote Sensing, 2022 - mdpi.com
In this paper, we propose a novel method developed for detecting incomplete ship targets
under cloud interference and low-contrast ship targets in thin fog based on superpixel …

Light-SDNet: a lightweight CNN architecture for ship detection

M Zhang, X Rong, X Yu - IEEE Access, 2022 - ieeexplore.ieee.org
Ship detection plays a vital role in monitoring and managing maritime safety. Most recently
proposed learning-based object detection methods have achieved marked progress in …

Ship detection in haze and low-light remote sensing images via colour balance and DCNN

R Song, T Li, T Li - Applied Ocean Research, 2023 - Elsevier
Ship detection in marine remote sensing images (RSI) is an area of growing interest with a
wide range of potential applications. However, current ship detection methods often suffer …

COCO-Net: A dual-supervised network with unified ROI-loss for low-resolution ship detection from optical satellite image sequences

Q Xu, Y Li, M Zhang, W Li - IEEE Transactions on Geoscience …, 2022 - ieeexplore.ieee.org
Low-resolution ship detection from optical satellite image sequences is critical in high-orbit
remote sensing satellite applications. However, it is still a difficult problem due to the …

An enhanced CNN-enabled learning method for promoting ship detection in maritime surveillance system

RW Liu, W Yuan, X Chen, Y Lu - Ocean Engineering, 2021 - Elsevier
The accurate and real-time detection of moving ships has become an essential component
in maritime video surveillance, leading to enhanced traffic safety and security. With the rapid …

Airbus ship detection from satellite imagery using frequency domain learning

M Al-Saad, N Aburaed, A Panthakkan… - Image and Signal …, 2021 - spiedigitallibrary.org
Ship detection from remote sensing images has been a topic of interest that gradually
gained attention over the years due to the wide variety of its applications in the field of …

Ship detection in remote sensing image based on faster R-CNN with dilated convolution

S Wei, H Chen, X Zhu, H Zhang - 2020 39th Chinese control …, 2020 - ieeexplore.ieee.org
Ship detection based on remote sensing image can provide effective assistance for maritime
reconnaissance, port and fisheries management. This paper mainly presents an improved …