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Advances in the Application of Spaceborne and UAS-Borne Radar Remote Sensing

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing in Agriculture and Vegetation".

Deadline for manuscript submissions: 31 July 2024 | Viewed by 1636

Special Issue Editors

Dr. Neda Rojhani

E-Mail Website
Guest Editor
Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada
Interests: remote sensing and communications; synthetic aperture radar; radar imaging; geosciences; vehicle and UAV wireless communications; radar signal processing; FM radar; mm-waves; sensors; deep learning; machine learning; antennas & propagation
Dr. George Shaker

E-Mail Website
Guest Editor
Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada
Interests: antennas & propagation; RF engineering; UAV wireless communications; mm-waves; sensors; energy harvesting systems; biomedical engineering; vehicle and UAV wireless communications; navigation systems; telematics systems
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Massimiliano Pieraccini

E-Mail Website
Guest Editor
Department of Information Engineering, University of Florence, Via Santa Marta 3, 50139 Firenze, Italy
Interests: radar imaging; synthetic aperture radar; electromagnetics; RF engineering; antennas and propagation; remote sensing; telecommunications engineering; radar signal processing; SAR interferometry; electrical & electronics engineering
Special Issues, Collections and Topics in MDPI journals
Dr. Amir Hosein Oveis

E-Mail Website
Guest Editor
National Inter-University Consortium for Telecommunications (CNIT), Pisa, Italy
Interests: radar imaging; synthetic aperture radar; image classification; deep learning; machine learning; feature extraction; radar target recognition; FM radar; signal classification; geophysical image processing
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We are delighted to introduce our Special Issue, a dedicated exploration of “Advances in the Application of Spaceborne Radar Remote Sensing”, featuring an exclusive section on “Radar Applications in Earth and Space Sciences”. Within the scientific domain of radar technology, this endeavor marks a significant milestone.

Radar systems have developed into crucial scientific tools that are advancing the study of space and Earth’s complexity. In this setting, spaceborne radar systems have become important players, providing different perspectives and insights. The importance of radar systems for spaceborne applications becomes more apparent as we advance in the field of scientific research. These technologies give researchers a chance to precisely examine Earth’s dynamic processes and provide information that is essential for environmental research, climate monitoring, and disaster preparedness. They also make celestial research easier, which improves our understanding of the secrets of planet Earth.

Key Scientific Themes:

Within the scope of Earth and space sciences, this Special Issue invites contributors to delve deeply into the intricate scientific facets of spaceborne radar remote sensing. We enthusiastically encourage submissions that:

  • Present the newest developments in radar technology designed for spaceborne missions.
  • Highlight the critical role of radar in precise environmental and climate studies.
  • Investigate the diverse applications of radar in planetary exploration, providing novel viewpoints on remote sensing.
  • Demonstrate how spaceborne radar has transformed disaster management and mitigation techniques.
  • Present innovative radar signal processing techniques and data analysis methodologies.
  • Push the boundaries of scientific research and investigate how radar systems can use artificial intelligence and machine learning.
  • Consider the difficulties and fascinating possibilities that autonomous radar systems present for future scientific research.

Dr. Neda Rojhani
Dr. George Shaker
Prof. Dr. Massimiliano Pieraccini
Dr. Amir Hosein Oveis
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 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. 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 2700 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

  • radar technology
  • space-based radar technology
  • planetary mapping radar
  • remote sensing applications
  • synthetic aperture radar (SAR)
  • disaster management applications
  • advanced signal processing
  • space exploration
  • radar technology in earth sciences

Published Papers (2 papers)

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Research

21 pages, 2170 KiB  
Article
ITS Efficiency Analysis for Multi-Target Tracking in a Clutter Environment
by Zvonko Radosavljević, Dejan Ivković and Branko Kovačević
Remote Sens. 2024, 16(8), 1471; https://doi.org/10.3390/rs16081471 - 22 Apr 2024
Viewed by 288
Abstract
The Integrated Track Splitting (ITS) is a multi-scan algorithm for target tracking in a cluttered environment. The ITS filter models each track as a set of mutually exclusive components, usually in the form of a Gaussian Mixture. The purpose of this research is [...] Read more.
The Integrated Track Splitting (ITS) is a multi-scan algorithm for target tracking in a cluttered environment. The ITS filter models each track as a set of mutually exclusive components, usually in the form of a Gaussian Mixture. The purpose of this research is to determine the limits of the ‘endurance’ of target tracking of the known ITS algorithm by analyzing the impact of target detection probability. The state estimate and the a-posteriori probability of component existence are computed recursively from the target existence probability, which may be used as a track quality measure for false track discrimination (FTD). The target existence probability is also calculated and used for track maintenance and track output. This article investigates the limits of the effectiveness of ITS multi-target tracking using the method of theoretical determination of the dependence of the measurements likelihood ratio on reliable detection and then practical experimental testing. Numerical simulations of the practical application of the proposed model were performed in various probabilities of target detection and dense clutter environments. Additionally, the effectiveness of the proposed algorithm in combination with filters for various types of maneuvers using Interacting Multiple Model ITS (IMMITS) algorithms was comparatively analyzed. The extensive numerical simulation (which assumes both straight and maneuvering targets) has shown which target tracking limits can be performed within different target detection probabilities and clutter densities. The simulations confirmed the derived theoretical limits of the tracking efficiency of the ITS algorithm up to a detection probability of 0.6, and compared to the IMMITS algorithm up to 0.4 in the case of target maneuvers and dense clutter environments. Full article
(This article belongs to the Special Issue Advances in the Application of Spaceborne and UAS-Borne Radar Remote Sensing)
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24 pages, 751 KiB  
Article
Comprehensive Review: Effectiveness of MIMO and Beamforming Technologies in Detecting Low RCS UAVs
by Neda Rojhani and George Shaker
Remote Sens. 2024, 16(6), 1016; https://doi.org/10.3390/rs16061016 - 13 Mar 2024
Viewed by 1032
Abstract
Unmanned aerial vehicles (UAVs) are increasing in popularity in various sectors, simultaneously rasing the challenge of detecting those with low radar cross sections (RCS). This review paper aims to assess the current state-of-the-art in radar technology, focusing on multiple-input multiple-output (MIMO) and beamforming [...] Read more.
Unmanned aerial vehicles (UAVs) are increasing in popularity in various sectors, simultaneously rasing the challenge of detecting those with low radar cross sections (RCS). This review paper aims to assess the current state-of-the-art in radar technology, focusing on multiple-input multiple-output (MIMO) and beamforming techniques, to address this growing concern. It explores the challenges associated with detecting UAVs in urban settings and adverse weather conditions, where traditional radar systems often do not succeed. This paper examines the existing literature and technological advancements to understand how these methodologies can significantly boost detection capabilities under the constraints of low RCS. In particular, MIMO technology, renowned for its spatial multiplexing, and beamforming, with its directional signal enhancement, are evaluated for their efficacy in the context of UAV surveillance and defense strategies. Ultimately, a comprehensive comparison is presented, drawing on a variety of studies to illustrate the combined potential of integrating these technologies, providing the way for future developments in radar system design and UAV detection. Full article
(This article belongs to the Special Issue Advances in the Application of Spaceborne and UAS-Borne Radar Remote Sensing)
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