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Special Issue "Remote Sensing for Underwater Photogrammetry"

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

Deadline for manuscript submissions: 31 October 2021.

Special Issue Editors

Prof. Dr. Alessandro Capra
E-Mail Website
Guest Editor
Laboratory of Geomatics, Engineering Dept. “Enzo Ferrari”, University of Modena and Reggio Emilia, via Vivarelli n.10, Modena, Italy
Interests: surveying and mapping; underwater surveying and underwater photogrammetry; deformation monitoring; geodetic observations in Antarctica
Dr. Pierre Drap
E-Mail Website
Guest Editor
LIS laboratory, Laboratoire d'Informatique et Systèmes, I&M Team, Images & Models, umr CNRS 7020,case 925 - 163, avenue de Luminy,13288 Marseille cedex 9.POLYTECH, Luminy, Bat. C Bureau C113,France
Interests: underwater photogrammetry applied to archaeology and marine biology; Semantic photogrammetric survey for archaeology; web semantic and ontologies for Digital Humanities (DH)

Special Issue Information

Dear Colleagues,

Underwater photogrammetric surveying through images acquired by divers and unmanned underwater vehicle has been used for many applications in the oil industry, archaeology, and biology. The accuracy needed for the applications has changed from some cm level to high-accuracy level requirements (less than 1 cm accuracy), such as for multitemporal analysis for change detection purposes, depending on the camera settings used and the distance to the imaged object.

We have assisted toward a significant evolution of underwater cases and dome ports and camera characteristics.

Particularly useful for modern underwater photogrammetry has been the utilization of structure-from-motion (SfM) photogrammetry. Structure-from-motion photogrammetry and underwater imagery allow three-dimensional quantification of submersed structures characteristic at patch scale and structural complexity.

There has also been significant improvement in integrated applications using photogrammetry, acoustic surveying, laser-based methods, and hyperspectral sensors.

We would like to invite you to submit articles on new instruments, methods, algorithms, datasets, and their applications to underwater objects and structures measurements, managed by divers or by unmanned vehicles and 3D model generation; we would also like to invite you to submit articles on new methods using deep learning and machine vision to different wavelengths including hyperspectral, acoustic, and laser-based methods.

Finally, we aim to address problems related to the semantics of generated 3D models and to gather original research on application and background issues arising from the design of conceptual models, ontologies, and semantic web technologies applied to underwater archaeology, naval archaeology, and more generally digital human sciences (DH).

Prof. Dr. Alessandro Capra
Dr. Pierre Drap
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 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 photogrammetry
  • image acquisition and data processing
  • Evolution of uw camera, camera calibration, uw cases, dome ports
  • UW unmanned vehicles applications
  • Robotic, machine learning on underwater photogrammetry surveying and data processing
  • Integrated sensors and surveys
  • Photogrammetry and acoustic methods
  • Photogrammetry and Hyperspectral sensors
  • Photogrammetry and user based methods
  • Cloud computing and data streaming/analysis methods for small and large data sets
  • 3D models generation and uncertainty
  • semantic of generated 3D models
  • Data product dissemination, formats, interoperability
  • Web GIS applied
  • Change detection monitoring
  • Environmetnal monitoring
  • Biology,biodiversity, ecology applications
  • Archaeolgy application
  • Industrial applications

Published Papers (1 paper)

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Review

Review
Underwater Survey for Oil and Gas Industry: A Review of Close Range Optical Methods
Remote Sens. 2021, 13(14), 2789; https://0-doi-org.brum.beds.ac.uk/10.3390/rs13142789 - 15 Jul 2021
Viewed by 475
Abstract
In both the industrial and scientific fields, the need for very high-resolution cartographic data is constantly increasing. With the aging of offshore subsea assets, it is very important to plan and maintain the longevity of structures, equipment, and systems. Inspection, maintenance, and repair [...] Read more.
In both the industrial and scientific fields, the need for very high-resolution cartographic data is constantly increasing. With the aging of offshore subsea assets, it is very important to plan and maintain the longevity of structures, equipment, and systems. Inspection, maintenance, and repair (IMR) of subsea structures are key components of an overall integrity management system that aims to reduce the risk of failure and extend the life of installations. The acquisition of very detailed data during the inspection phase is a technological challenge, especially since offshore installations are sometimes deployed in extreme conditions (e.g., depth, hydrodynamics, visibility). After a review of high resolution mapping techniques for underwater environment, this article will focus on optical sensors that can satisfy the requirements of the offshore industry by assessing their relevance and degree of maturity. These requirements concern the resolution and accuracy but also cost, ease of implementation, and qualification. With the evolution of embedded computing resources, in-vehicle optical survey solutions are becoming increasingly important in the landscape of large-scale mapping solutions and more and more off-the-shelf systems are now available. The issues raised in this review are mainly related to the qualification of the results produced by optical systems and their limitations to cover all the needs expressed by the oil and gas industry field. Interesting qualification works of these solutions are presented in this paper as well as the use of online processing tools such as visual odometry or VSLAM to guide the data acquisition and pre-qualified survey. Finally, it seems interesting to combine acoustic and optical technologies in order to extend the field of application of these methods to low visibility conditions, which remains one of the main limiting factors in the generalization of the use of optical sensors in high resolution underwater cartography applications. Full article
(This article belongs to the Special Issue Remote Sensing for Underwater Photogrammetry)
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