Ocean remote sensing techniques and applications: A review (part i)
Oceans cover over 70% of the Earth's surface and provide numerous services to humans
and the environment. Therefore, it is crucial to monitor these valuable assets using …
and the environment. Therefore, it is crucial to monitor these valuable assets using …
Remote sensing systems for ocean: A review (Part 2: Active systems)
As discussed in the previous part of this review article, remote sensing (RS) creates
unprecedented opportunities by providing a variety of systems with different characteristics …
unprecedented opportunities by providing a variety of systems with different characteristics …
Ship classification based on multifeature ensemble with convolutional neural network
As an important part of maritime traffic, ships play an important role in military and civilian
applications. However, ships' appearances are susceptible to some factors such as lighting …
applications. However, ships' appearances are susceptible to some factors such as lighting …
Deep CNN with multi-scale rotation invariance features for ship classification
With the rapid development of target tracking technology, how to efficiently take advantage
of useful information from optical images for ship classification becomes a challenging …
of useful information from optical images for ship classification becomes a challenging …
Multi-feature fusion with convolutional neural network for ship classification in optical images
Y Ren, J Yang, Q Zhang, Z Guo - Applied Sciences, 2019 - mdpi.com
The appearance of ships is easily affected by external factors—illumination, weather
conditions, and sea state—that make ship classification a challenging task. To facilitate …
conditions, and sea state—that make ship classification a challenging task. To facilitate …
Multiple features learning for ship classification in optical imagery
The sea surface vessel/ship classification is a challenging problem with enormous
implications to the world's global supply chain and militaries. The problem is similar to other …
implications to the world's global supply chain and militaries. The problem is similar to other …
A support vector regression-based method for target direction of arrival estimation from HF radar data
R Wang, B Wen, W Huang - IEEE Geoscience and Remote …, 2018 - ieeexplore.ieee.org
High-frequency (HF) radars have great potential for maritime surveillance, and the multiple
signal classification (MUSIC) algorithm is usually used to estimate the direction of arrival …
signal classification (MUSIC) algorithm is usually used to estimate the direction of arrival …
Compact HF surface wave radar data generating simulator for ship detection and tracking
S Park, CJ Cho, B Ku, SH Lee… - IEEE Geoscience and …, 2017 - ieeexplore.ieee.org
Toward a maritime surveillance objective, many ship detection and tracking algorithms have
been investigated but are faced with poor performance in practical ocean environments …
been investigated but are faced with poor performance in practical ocean environments …
[PDF][PDF] Autonomous ship navigation methods: a review
A Noel, K Shreyanka, K Gowtham… - Proceedings of the …, 2019 - researchgate.net
Autonomous navigation is achieved by training or programming the ship with the stored data
about the vessel behavior in various sailing environment. The autonomous behaviour relies …
about the vessel behavior in various sailing environment. The autonomous behaviour relies …
Ship echo identification based on norm-constrained adaptive beamforming for an arrayed high-frequency coastal radar
A frequency-modulated continuous-wave (FMCW) radar, operated at the central frequency
of 27.75 MHz and the bandwidth of 300 kHz has been established on the seashore near the …
of 27.75 MHz and the bandwidth of 300 kHz has been established on the seashore near the …