Recent Advances in Resource Management in Radar Sensing and Imaging Applications
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Engineering Remote Sensing".
Deadline for manuscript submissions: 31 March 2026 | Viewed by 34
Special Issue Editors
Interests: chaos theory and applications; mobile robot; radar-jamming game-evolution technology; multifunctional waveform design
Special Issues, Collections and Topics in MDPI journals
Interests: radar signal processing; machine learning
Special Issues, Collections and Topics in MDPI journals
Interests: signal detection; multi-sensor resource management; multi-function integrated system resource optimization
Special Issues, Collections and Topics in MDPI journals
Interests: radar jamming game evolution technology; multi-functional radar system
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Radar technology has become an indispensable tool in modern remote sensing applications, offering unique capabilities for imaging, detection, and environmental monitoring. The advent of novel radar systems, represented by the multi-input-multiple-output (MIMO) radar, networked radar, cognitive radar, distributed radar, and passive radar, has led to a heightened focus on the impact of radar system resources on overall performance. These resources encompass factors such as site location, transmission power, topology, operating frequency, handling resource, beam scheduling, and signal waveforms. Consequently, research conducted on radar resource management is of theoretical importance and practical significance for the domains of radar imaging and remote sensing.
We are pleased to invite researchers and professionals to contribute to this Special Issue, which aims to explore cutting-edge developments in radar resource management in sensing and imaging applications, bringing together contributions from academia and industry.
By addressing challenges in radar resource management, this Special Issue seeks to advance the understanding and utility of radar technologies in remote sensing.
This Special Issue aligns closely with the journal's scope, focusing on innovative radar resource management techniques (specifically resource management technologies based on artificial intelligence algorithms such as reinforcement learning and deep learning) and their impact on remote sensing, environmental monitoring, and other critical fields.
This Special Issue welcomes original research articles and reviews on a wide range of topics related to radar resource management.
The objective of this Special Issue is to present the most recent advancements in resource management techniques in the domain of radar remote sensing. In addition, it will explore the potential for managing radar resources to enhance the performance of existing radar systems in carrying out remote sensing missions.
Potential topics include, but are not limited to, the following topics:
- Networked radar topology optimization;
- Discrete/multiple bands integrated utilization;
- Radar mission planning;
- Distributed resource management techniques;
- multi-function integrated system resource optimization;
- Artificial Intelligence (AI) based radar resource management;
- Radar sensing and application;
- Other applications of resource management in radar remote sensing.
Prof. Dr. Tianxian Zhang
Dr. Zongyong Cui
Guest Editors
Dr. Xueting Li
Dr. Yuanhang Wang
Guest Editor Assistants
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 system
- system resource management
- radar imaging
- radar remote sensing
- synthetic aperture radar (SAR)
- optimization
- artificial intelligence (AI)
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