Near Surface Remote Sensing Using Unmanned Systems

A special issue of Drones (ISSN 2504-446X).

Deadline for manuscript submissions: closed (31 May 2024) | Viewed by 294

Special Issue Editor


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Guest Editor
Thayer School of Engineering, Dartmouth College, 14 Engineering Dr, Hanover, NH 03755, USA
Interests: remote sensing; magentic and electromagentic sensors; forward and inverse EM problems and methods; subsurface targets detection and classification; FPGA systems; nano-particle hyperthermia; numerical models; magnetic; electromagnetic; acoustic and optical sensors and unmanned systems for subsurface targets detection and classification
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Special Issue Information

Dear Colleagues,

Recent advances in the development of lightweight magnetic, electromagnetic, acoustic, and optical sensing technologies have created new applications for unmanned (ground robot and aerial) systems (USs). The sensing technologies mounted on USs can provide high-fidelity data to detect and identify hazardous subsurface targets safely and cost-effectively. This Special Issue is open to all contributors in the field of US remote sensing technologies (hardware and software) for mapping electromagnetic properties of near-surface soils and detecting and identifying targets of interest. We invite the submission of original research papers, case studies, and reviews to this Special Issue that extend and advance our scientific/technical understanding of the state-of-the-art in US remote sensing in areas that include, but are not limited to:

  • magnetic, electromagnetic, acoustic, seismic, and optical sensors and unmanned (ground robot and aerial) systems for subsurface target detection and identification;
  • combined US remote sensing technology and signal processing approaches for mapping electromagnetic properties of near-surface soils;
  • forward and inverse modeling for processing US remote sensing technologies datasets;
  • classification techniques, such as linear classifiers, support vector machines, quadratic classifiers, and neural networks, applied to data from US mounted sensors;
  • recent developments in and the integration of remote sensing technologies with US; and case studies during the mapping of electric and magnetic properties of soils for agriculture applications.

You may choose our Joint Special Issue in Remote Sensing.

Prof. Dr. Fridon Shubitidze
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 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. Drones 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 2600 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

  • unmanned aerial systems
  • robotics
  • soil
  • remote sensing
  • UXO
  • magnetics
  • electromagnetic induction
  • acoustic
  • land mine
  • improvised explosive devices
  • classification
  • hazardous materials.

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Published Papers

There is no accepted submissions to this special issue at this moment.
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