remotesensing-logo

Journal Browser

Journal Browser

Special Issue "Remote Sensing and Other Geomatics Techniques for Marine Applications"

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Ocean Remote Sensing".

Deadline for manuscript submissions: 20 February 2023 | Viewed by 545

Special Issue Editors

Prof. Dr. Claudio Parente
E-Mail Website
Guest Editor
Department of Science and Technology, University of Naples Parthenope, 80143 Naples, Italy
Interests: remote sensing: GIS; high resolution satellite images; pan-sharpening
Prof. Dr. Salvatore Gaglione
E-Mail Website
Guest Editor

Special Issue Information

Dear Colleagues,

Remote sensing and in situ survey techniques allow us to acquire data concerning marine and coastal areas that are useful for constructing spatial and temporal models to be used for different purposes, e.g., environmental monitoring, geo-hazard mapping, activity planning, sustainable zone management and marine vessel monitoring.

This Special Issue aims to collect expert research on several key areas (geomatics, hydrography, remote sensing, photogrammetry, mapping, GIS, data processing, modelling), concerning both methodological subjects and concrete applications for topics related to marine and coastal area investigation and monitoring. Land survey (based on electronic total station, GNSS, laser scanning), hydrographic survey (using single beam, multibeam, side scan sonar), remote sensing (from satellite, airplane and UAV) and data processing and representation (thematic map and 3D model) will be considered. The experience of research centres and the recent developments in the field of measurement systems and techniques applicable for marine and coastal areas will be particularly valuable for the aims of this Special Issue.

We invite you to present research on various aspects of geomatics: survey techniques, GNSS, laser scanner, remote sensing, bathymetry, image processing, data fusion, machine learning, object-based analysis, filtration, image enhancement, atmospheric correction, texture analysis, optical and radar data and other applications concerning the acquisition, processing and representation of marine data.

Prof. Dr. Claudio Parente 
Prof. Dr. Salvatore Gaglione
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

  • geomatics
  • remote sensing
  • survey
  • GIS
  • GNSS

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

Article
High Signal-to-Noise Ratio MEMS Noise Listener for Ship Noise Detection
Remote Sens. 2023, 15(3), 777; https://doi.org/10.3390/rs15030777 - 29 Jan 2023
Viewed by 278
Abstract
Ship noise observation is of great significance to marine environment research and national defense security. Acoustic stealth technology makes a variety of ship noise significantly reduced, which is a new challenge for marine noise monitoring. However, there are few high spatial gain detection [...] Read more.
Ship noise observation is of great significance to marine environment research and national defense security. Acoustic stealth technology makes a variety of ship noise significantly reduced, which is a new challenge for marine noise monitoring. However, there are few high spatial gain detection methods for low-noise ship monitoring. Therefore, a high Signal-to-Noise Ratio (SNR) MEMS noise listener for ship noise detection is developed in this paper. The listener achieves considerable gain by suppressing isotropic noise in the ocean. The working principle and posterior end signal processing method of the listener are introduced in detail. A gain of 10 dB over the sound pressure detector is obtained by detecting the standard sound source. In addition, the traffic vessel noise monitoring experiment verifies that the listener can detect the ship noise. The results show that the listener has a very broad application prospect in the field of low-noise ship observation. Full article
(This article belongs to the Special Issue Remote Sensing and Other Geomatics Techniques for Marine Applications)
Show Figures

Figure 1

Back to TopTop