Advanced Technologies in Small Radar Based Systems, Processing and Imaging
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing Image Processing".
Deadline for manuscript submissions: closed (31 October 2022) | Viewed by 2868
Special Issue Editor
Interests: synthetic aperture radar image enhancement; small-radar development; deep learning for SAR image enhancement; data interpretation, short-range radar development, radar signal processing, through the wall imaging, soil moisture estimation, and machine vision
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Through the rapid development of range imaging sensors and new signal processing techniques for radar data processing and radar data interpretation, miniature radar systems, applied in environmental monitoring, can form air underwater using unnamed aerial vehicles platforms, ground vehicles or even remote sensing. Therefore, advances in miniature radar design, radar processing and radar data interpretation have received great interest due to their great potential for environmental monitoring. The latest advances in radar design focus on a low consumption, combining lidar and radar technologies, and using deep learning in the process of radar image formation and data interpretation.
This Special Issue aims to present the latest research and application results for the field of advanced small-radar design, radar processing techniques and intelligent radar data interpretation techniques used in the remote sensing.
For this Special Issue, we welcome contributions that focus on, but are rnot limited to, the following:
- Novel small-radar designs attached to UAV;
- Small-radar systems used for environment monitoring;
- GPR data processing and analysis;
- Deep learning, architectures, and convolutional neural networks for data interpretation and image formation;
- Improvements in information interpretation using deep learning model capabilities;
- Machine learning techniques for radar data classification and information extraction;
- Physical parameter extraction from radar data using inversion methods or deep learning;
- Software-defined radio used for environment monitoring;
- THz radars for material classification;
- Antenna design for small radars;
- Systems and methods for land mine detection.
Prof. Dr. Dusan Gleich
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. 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
- ground-penetrating radar
- UAV
- small-radar design
- radar image formation
- deep learning
- classification of radar images
- object detection in radar imaging
- antenna design for small radars
- THz radars for material classification
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