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A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing Image Processing".
Deadline for manuscript submissions: 30 April 2023 | Viewed by 2021
Special Issue Editors

Interests: inverse problems; image processing; image analysis; microwave techniques

Interests: ground segment services for polar orbiting satellites, maritime surveillance; earth observation data and image processing

Interests: data science; data narrative; web applications; machine learning; cultural heritage; tourism
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
According to the statistics published by the United Nations Conference on Trade and Development, the total fleet worldwide consisted of more than 2,000,000,000 deadweight tons by 2021, against less than 700,000,000 in 1980. This increase in tonnage, and the total number of merchant ships, makes marine traffic surveillance essential for border control, monitoring of illegal activities as well as general security and emergency management. Wherever and whenever the collaborative vessel traffic services are not operational, or some vessel is suspected of sending falsified messages, remote sensing is the only possibility to properly ensure safety and security and take the appropriate reactions/countermeasures for any targeted event. Currently, this is still an open problem, even though many technologies and platforms are available for detecting and locating even the faintest objects on the sea surface, ranging from optics in various bands to radio/acoustic waves, and from satellite to underwater platforms. Besides detection and location, however, classification/identification and behavior analysis are also essential to deploy an effective monitoring system potentially insensitive to the collaborative status of the vessels transiting the surveilled area. The most advanced information technologies are needed to reach this goal, leveraging as much information as possible from as many useful sources as possible, including multi-platform sensors of any kind, and possible data from collaborative identification systems such as AIS, as well as relevant geographical and historical data. Apparently, pattern recognition, image analysis, statistical signal processing, classification, machine learning/deep learning and data science are the enabling technologies to equip detection and location results with the additional information that enables the surveillance authorities to be aware of any possible situation.
The aim of this Special Issue is to gather a number of papers from researchers active in this field, able to give the reader a comprehensive panorama of theory and practice or remote-sensing applications/systems dedicated to maritime surveillance.
Original submissions are welcome dealing with both theoretical and application aspects of the following list of topics.
- Platforms
- Spaceborne
- Airborne
- Surface
- Underwater
- Sensors
- Optical – panchromatic, multi/hyperspectral
- Thermal infrared
- Radar
- Acoustic
- Data processing
- Detection
- Classification – identification
- Behavior analysis (speed, bearing, possible anomalies)
- Tracking
- Route prediction
- Data fusion with auxiliary data from collaborative systems
- Data fusion with geographical/historical data
Dr. Emanuele Salerno
Dr. Claudio Di Paola
Dr. Angelica Lo Duca
Guest Editors
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 submissions that pass pre-check are 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. Remote Sensing is an international peer-reviewed open access semimonthly 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 2500 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.
Keywords
- maritime traffic monitoring
- ship classification
- remote sensing platforms/sensors
- ship behavior analysis
- data fusion
- machine learning
- artificial intelligence
Planned Papers
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Title: Data Fusion for Vessel Tracking
Authors: Dimitris Zissis
Affiliation: Department of Product and System Engineering, University of the Aegean, A1.1, Konstantinoupoleos 2, Syros, Greece
Title: Evolution of Maritime GNSS Performance Standards
Authors: Paweł Zalewski
Affiliation: Department of Maritime Simulation, Faculty of Navigation, Maritime University of Szczecin, Wały Chrobrego St. 1-2, 70-500 Szczecin, Poland