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A Review of Methods for Ship Detection with Electro-Optical Images in Marine Environments
The ocean connects all continents and is an important space for human activities. Ship detection with electro-optical images has shown great potential due to the abundant imaging spectrum and, hence, strongly supports human activities in the ocean.
Liqian Wang +9 more
doaj +3 more sources
An Adaptive Ship Detection Scheme for Spaceborne SAR Imagery
With the rapid development of spaceborne synthetic aperture radar (SAR) and the increasing need of ship detection, research on adaptive ship detection in spaceborne SAR imagery is of great importance.
Xiangguang Leng +4 more
doaj +3 more sources
Electrochemical Characteristics of Typical Ship Materials in Low-Temperature Seawater
The electrochemical characteristic of ship metal materials in marine environments is an important factor affecting the generation of ship electric field characteristics.
Tong ZHOU +3 more
doaj +1 more source
Ship fire is one of the greatest dangers to ship navigation safety. Nevertheless, typical detection methods have limited detection effectiveness and accuracy due to distance restrictions and ship motion.
Huafeng Wu +4 more
doaj +1 more source
Polarimetric SAR ship detection based on superpixel and sparse reconstruction saliency
Polarimetric SAR ship detection is an important application of the polarimetric SAR system. Existing polarimetric SAR ship detection methods are plagued by erroneous detection of strong clutter and missed detection of small targets in multiscale ...
Jiahao LUO, Junjun YIN, Jian YANG
doaj +1 more source
Quad-FPN: A Novel Quad Feature Pyramid Network for SAR Ship Detection
Ship detection from synthetic aperture radar (SAR) imagery is a fundamental and significant marine mission. It plays an important role in marine traffic control, marine fishery management, and marine rescue.
Tianwen Zhang, Xiaoling Zhang, Xiao Ke
doaj +1 more source
Recently, ship target detection in Synthetic aperture radar (SAR) images has become one of the current research hotspots and plays an important role in the real-time detection of sea regions.
Peipei Zhang, Guokun Xie, Jinsong Zhang
doaj +1 more source
Improved Ship Detection Algorithm Based on YOLOX for SAR Outline Enhancement Image
Synthetic aperture radar (SAR) ship detection based on deep learning has the advantages of high accuracy and end-to-end processing, which has received more and more attention.
Sen Li, Xiongjun Fu, Jian Dong
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Multi-Sensor-Based Hierarchical Detection and Tracking Method for Inland Waterway Ship Chimneys
In the field of automatic detection of ship exhaust behavior, a deep learning-based multi-sensor hierarchical detection method for tracking inland river ship chimneys is proposed to locate the ship exhaust behavior detection area quickly and accurately ...
Fumin Wu +4 more
doaj +1 more source
Feature Enhancement Pyramid and Shallow Feature Reconstruction Network for SAR Ship Detection
Recently, convolutional neural network based methods have been studied for ship detection in optical remote sensing images. However, it is challenging to apply them to microwave synthetic aperture radar (SAR) images.
Lin Bai +5 more
doaj +1 more source

