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Special Issue "Sensors In Target Detection"

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Remote Sensors".

Deadline for manuscript submissions: 15 May 2019

Special Issue Editors

Guest Editor
Prof. Dr. Thierry Bouwmans

Maitre de Conférences, Laboratoire MIA, Université de La Rochelle, 17000 La Rochelle, France
Website | E-Mail
Interests: background subtraction; background modeling; foreground detection; target detection, fuzzy theory; dempster-shafer theory; robust PCA; deep learning models
Guest Editor
Dr. Filippo Biondi

University of L’Aquila / Italian Ministry of Defence, L'Aquila, Abbruzzo, Italy
Website | E-Mail
Interests: Synthetic Aperture Radar (SAR), Polarimetric SAR (PolSAR), SAR Interferometry (InSAR) and Differential SAR interferometry (DinSAR), Polarimetric SAR interferometry (PolInSAR), Persistent Scatterers interferometry (PSInSAR) and 3-D/4-D Polarimetric SAR Tomography (PolTomSAR); Milti-Chromatic Analysis (MCA) for SAR; Moving Target Indication (MTI) for SAR; Deep Learning for SAR

Special Issue Information

Dear Colleagues,

We invite manuscripts for this forthcoming Special Issue on all aspects of research and development related to these scientific and technical areas and in all possible domains of applications. Original research articles that focus on sensors in target detection and experimental validation are welcome to highlight novel approaches, recent advancements, and new application areas or that solve an important problem. Potential topics include (but are not limited to):

  • Visible cameras, IR cameras, multi-spectral sensors
  • Radar and sonar sensors
  • Sensor fusion
  •  Sensor placement, Sensor coverage
  • Wireless sensor networks
  • Synthetic-aperture radar (SAR) imaging, polarimetric (PolSAR), Interferometric SAR (InSAR), Polarimetric interferometric SAR (PolInSAR), Differential interferometric SAR (DinSAR), Persistent scatterer interferometry (PSInSAR), Multi-chromatic analysis (MCA) for SAR (MCA-SAR), SAR tomography
  • Pixel tracking in synthetic aperture radar for glacier applications
  • Pixel tracking in synthetic aperture radars for maritime surveillance
  • Along-track interferometry (ATI) for sea, lake and river current velocity estimation (distributed targets) and for maritime surveillance (coherent targets)
  • High-resolution, wide-swath strategies for synthetic aperture radars
  • Geosynchronous synthetic aperture radars, high-resolution methods and strategies
  • Hyperspectral satellite imaging classification and super-resolution techniques
  • Ground/marine moving target indication (MTI)
  • Direction-of-arrival tracking
  •  Deep-learning applied to remote sensing

Authors are invited to contact the Guest Editors prior to submission if they are uncertain whether their work falls within the general scope of this Special Issue.

Prof. Dr. Thierry Bouwmans
Dr. Filippo Biondi

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. Sensors is an international peer-reviewed open access bimonthly 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.

Published Papers (1 paper)

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Open AccessArticle An Improved Inverse Beamforming Method: Azimuth Resolution Analysis for Weak Target Detection
Sensors 2018, 18(12), 4160; https://doi.org/10.3390/s18124160
Received: 1 November 2018 / Revised: 22 November 2018 / Accepted: 24 November 2018 / Published: 27 November 2018
PDF Full-text (3075 KB) | HTML Full-text | XML Full-text
The inverse beamforming (IBF) is a mature method to improve azimuth resolution. However, for weak targets it is not applicable as IBF enhances side lobes. In this paper, an improved IBF algorithm is proposed to raise the azimuth resolution under the premise of
[...] Read more.
The inverse beamforming (IBF) is a mature method to improve azimuth resolution. However, for weak targets it is not applicable as IBF enhances side lobes. In this paper, an improved IBF algorithm is proposed to raise the azimuth resolution under the premise of ensuring the detection ability for weak targets. Firstly, from the point of phase compensation, we analyze the cause of side lobes when IBF is applied. Then the improved IBF algorithm recorded as GIBF (the improved inverse beamforming) is proposed by changing the Toeplitz average into the phase construction. The theoretical derivation and simulation data processing show the proposed method can improve the resolution of the N sensors to the standard of 2N − 1 sensors under different signal-to-noise ratios. Compared with IBF, GIBF has great advantages in detecting weak targets. Passive sonar data are used to further verify the advantages of GIBF; the trajectories on azimuth history diagrams become clear, the azimuth resolution is improved, and the detection ability for weak targets is still robust. In addition, GIBF is combined with the common DOA (direction of arrival) estimation algorithms, such as conventional beamforming and minimum variance distortionless signal response, which proves the applicability of the algorithm. Full article
(This article belongs to the Special Issue Sensors In Target Detection)

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