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Special Issue "Recent Advances in Subsurface Sensing Technologies"
A special issue of Remote Sensing (ISSN 2072-4292).
Deadline for manuscript submissions: closed (30 June 2019).
Prof. Fridon Shubitidze Website E-Mail
Dartmouth College, Thayer School of Engineering, 14 Engineering Dr. Hanover, NH 03755, USA
Phone: 603 646 3671 (office); 603 729 6071 (Cell)
Interests: electromagnetic sensing technologies; detection and discrimination of sub-surface objects; linear and non-linear inverse-scattering; induced geo-electromagnetic fields; magnetic nanoparticle hyperthermia for cancer treatment and imaging
Dr. Benjamin E. Barrowes E-Mail
Interests: Electromagnetic sensing, Sensors, UXO, LandMines, Detection, Classification
Detection and identification of subsurface and camouflage targets (unexploded ordnances, land mines, improvised explosive devices) and structures (tunnels, bunkers) in various mediums still remains one of most challenging problems worldwide. Recent developments in the remote sensing technologies, such as magnetic, electromagnetic induction, radar, optical, acoustic and seismic, together with robust signal processing approaches have provided enhanced detection and classification performances for finding hidden targets.
This Special Issue is open for all contributors in the field of recent developments in the remote sensing technologies (hardware and software) for detecting and identifications of targets of interests. We invite submissions of novel and original papers, case studies and reviews to this Special Issue that extend and advance our scientific/technical understanding of current state of the art remote sensing in areas that include, but are not limited to:
- Magnetic, electromagnetic, acoustic, seismic and optical sensors and signal processing approaches for underwater targets detection and identification.
- New and hybrid sensing modalities for landmines, improvised explosive devices and tunnels detection.
- Forward and inverse modeling.
- Classification techniques, such as linear classifiers, support vector machines, quadratic classifiers, neural networks;
- Recent developments and integrations of remote sensing technologies with unmanned air systems.
- Case studies during subsurface unexploded ordnances (UXO) detection and identification in land.
Prof. Fridon Shubitidze
Dr. Benjamin E. Barrowes
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 1800 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.
- remote sensing
- electromagnetics induction
- improvised explosive devices