Deep learning for SAR ship detection: Past, present and future
J Li, C Xu, H Su, L Gao, T Wang - Remote Sensing, 2022 - mdpi.com
After the revival of deep learning in computer vision in 2012, SAR ship detection comes into
the deep learning era too. The deep learning-based computer vision algorithms can work in …
the deep learning era too. The deep learning-based computer vision algorithms can work in …
Automatic ship detection and classification using machine learning from remote sensing images on Apache Spark
Ship detection and classification is very important for port and coastal security. Due to
maritime safety and traffic control, high-resolution images of ships should be obtained. High …
maritime safety and traffic control, high-resolution images of ships should be obtained. High …
Analysis of the imaging projection plane for ship target with spaceborne radar
R Cao, Y Wang, Y Zhang - IEEE Transactions on Geoscience …, 2021 - ieeexplore.ieee.org
For the convenience of target feature extraction, classification, and recognition, it is
necessary to research the imaging projection plane (IPP) of spaceborne hybrid synthetic …
necessary to research the imaging projection plane (IPP) of spaceborne hybrid synthetic …
An automated method for container counting in satellite images based on grid analysis and shadow recognition
B Zhou, Z Wang - IEEE Access, 2024 - ieeexplore.ieee.org
This study developed a novel and reusable technique aimed at automatically estimating the
number of containers in port storage yards using satellite images, namely, an automated …
number of containers in port storage yards using satellite images, namely, an automated …
Clustering based Ship Classification using Radar Signal and Neuron Network
In this paper, we propose a ship classification method based on surveillance radar signals.
To get a robust system, our method needs to handle challenges from the high variance …
To get a robust system, our method needs to handle challenges from the high variance …