Special Issue "Digital Underwater Imaging"

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

Deadline for manuscript submissions: closed (31 July 2021).

Special Issue Editor

Prof. Dr. Yuri Rzhanov
E-Mail Website
Guest Editor
Center for Coastal and Ocean Mapping/Joint Hydrographic Center, University of New Hampshire, Durham, NH 03824, USA
Interests: optical methods of seafloor mapping;blending techniques for construction of photomosaics from imagery acquired underwater; seafloor structure reconstruction from multiple views;probabilistic reconstruction of color in underwater imagery;
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Special Issue Information

Dear Colleagues,

We are planning to launch a new Special Issue titled "Digital Underwater Imaging". Although imaging in air has matured in recent decades, underwater optical data processing still poses serious challenges due to limited visibility, poor illumination, absence of reliable positioning information, and distortions of various natures.

We would like to focus this Special Issue on the 3D reconstruction and semantic segmentation of underwater scenes. However, this theme does not limit the scope of the Special Issue. Papers that cover other important aspects of underwater imaging, such as remote sensing with trichromatic cameras, recovery of color information, corrections for refraction-related distortions, and multispectral imagers and lasers are also welcome.

I hope that you can share your expertise and research results with the underwater imaging community by submitting an article to our Special Issue.

Prof. Dr. Yuri Rzhanov
Guest Editor

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. 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 2400 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

  • Underwater imaging
  • Semantic segmentation
  • Color restoration
  • 3D reconstruction
  • Refraction effects

Published Papers (1 paper)

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Review

Review
The Use of Saliency in Underwater Computer Vision: A Review
Remote Sens. 2021, 13(1), 22; https://0-doi-org.brum.beds.ac.uk/10.3390/rs13010022 - 23 Dec 2020
Cited by 1 | Viewed by 829
Abstract
Underwater survey and inspection are tasks of paramount relevance for a variety of applications. They are usually performed through the employment of optical and acoustic sensors installed aboard underwater vehicles, in order to capture details of the surrounding environment. The informative properties of [...] Read more.
Underwater survey and inspection are tasks of paramount relevance for a variety of applications. They are usually performed through the employment of optical and acoustic sensors installed aboard underwater vehicles, in order to capture details of the surrounding environment. The informative properties of the data are systematically affected by a number of disturbing factors, such as the signal energy absorbed by the propagation medium or diverse noise categories contaminating the resulting imagery. Restoring the signal properties in order to exploit the carried information is typically a tough challenge. Visual saliency refers to the computational modeling of the preliminary perceptual stages of human vision, where the presence of conspicuous targets within a surveyed scene activates neurons of the visual cortex, specifically sensitive to meaningful visual variations. In relatively recent years, visual saliency has been exploited in the field of automated underwater exploration. This work provides a comprehensive overview of the computational methods implemented and applied in underwater computer vision tasks, based on the extraction of visual saliency-related features. Full article
(This article belongs to the Special Issue Digital Underwater Imaging)
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