Special Issue "Machine Learning and Remote Sensing in Ocean Science and Engineering"
Deadline for manuscript submissions: 10 April 2021.
Interests: machine learning; computational intelligence; remote sensing; operations research; decision support systems
Interests: ocean science and engineering; numerical ocean modeling; data assimilation; uncertainty quantification and inference schemes
The impressive recent advancements in machine learning and deep neural networks open new possibilities in ocean science and engineering. The use of convolutional neural networks to process remotely sensed multi- and hyper-spectral optical images is providing unprecedented classification opportunities in ship classification and tracking. The use of convolutional neural networks for remotely sensed SAR/ISAR images or side-scan sonar images is providing unprecedented classification accuracies. In addition, the use of autonomous platforms (such as underwater gliders, drifters, and floats) is providing a massive amount of ocean state measurements, which can be exploited by novel data assimilation schemes. The role of machine learning in ocean modelling and mining is growing at a constant pace. Autonomous surveillance and search and rescue operations are also benefiting from the availability of both satellite data and in situ data collected by AUVs. Computational intelligent techniques have a clear potential to help in solving these complex tasks, frequently characterized by multiple conflicting objectives.
The purpose of the invited Special Issue is to publish the most exciting research with respect to the above subjects and to provide a rapid turn-around time regarding reviewing and publishing, and to disseminate the articles freely for research, teaching, and reference purposes.
We encourage the submission of high-quality papers which are directly related to various aspects, as mentioned below. Novel techniques are encouraged.
Assoc. Prof. Dr. Marco Cococcioni
Assoc. Prof. Dr. Pierre Lermusiaux
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Marine Science and Engineering is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- machine learning/deep learning/artificial intelligence
- data fusion and data mining
- remote sensing of the ocean
- port and ship protection
- ROVs, AUVs, USVs, underwater gliders
- maritime big data analysis and mining
- path planning and waypoint optimization
- search and rescue operations
- adaptive sampling/optimal sampling of the ocean
- maritime situational awareness
- ocean data assimilation
- numerical ocean modeling
- multi-objective optimization (evolutionary opt., swarm opt.)
- counter piracy
- autonomous surveillance
- oil spill detection and tracking
- optimization and control of autonomous ocean systems
- remote bathymetry estimation
- security and defense applications
- ship classification from remotely sensed optical images
- decision support systems