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Recent Advances in Microwave and Millimeter-Wave Imaging Sensing

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing Image Processing".

Deadline for manuscript submissions: 30 June 2025 | Viewed by 961

Special Issue Editors


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Guest Editor
School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150001, China
Interests: microwave; millimeter-wave and terahertz imaging; polarization imaging; radiation and scattering modeling; imaging simulation; detection and recognition
1. School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan 430074, China
2. National Key Laboratory of Science and Technology on Multispectral Information Processing, Huazhong University of Science and Technology, Wuhan 430074, China
Interests: millimeter-wave imaging and detection; remote sensing data processing; information fusion; sparse array design and processing

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Guest Editor
Hubei LuoJia Laboratory, Wuhan University, Wuhan 430079, China
Interests: passive microwave remote sensing; passive microwave detection; radio-frequency interference detection

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Guest Editor
School of Geospatial Engineering and Science, Sun Yat-sen University, Zhuhai 519082, China
Interests: planetary science and remote sensing; radiation and scattering modeling; remote sensing data processing
School of Information Science and Engineering, Central South University, Changsha 410083, China
Interests: antennas; radars; microwave remote sensing
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We warmly invite you to contribute your research to the Remote Sensing journal's new Special Issue, “Microwave and Millimeter-Wave Imaging Sensing”. Microwaves and millimeter waves are electromagnetic waves between radio and infrared, which have good penetration to many media such as clouds, fog, drizzle, smoke, and common clothing. Microwave and millimeter-wave imaging sensing technology are widely used in radio astronomy, remote sensing, target detection, personnel security inspection, scene surveillance, and so on. Many imaging systems and methods based on radiometers and radar have been developed over the past several decades. With the continuous improvement of microwave and millimeter wave components, microwave and millimeter wave imaging systems have developed rapidly in recent years. How to interpret the complex radiometer and radar multidimensional data (involving frequency, polarization, amplitude, and phase) and accurately obtain the physical information of the observation scene has become a hot and difficult point in the research of microwave and millimeter-wave imaging sensing technology.

The Special Issue focuses on the recent advances in microwave and millimeter-wave imaging sensing, including theories, methods, systems, and applications. The theories involve the surface scattering model, volume scattering model, radiation brightness temperature model, radiative transfer, and imaging simulation. The methods include data processing and algorithm development, software and hardware collaboration intelligent processing, accurate measurement of targets and environmental features, and target detection and identification. The systems mainly involve devices, instruments, schemes, new ideas, and others concerning radiometers and radar. The applications include remote sensing, target detection, personnel security inspection, simulation or experiment results, and others.

The special topic presents an opportunity to show the latest technologies and developments in microwave and millimeter-wave imaging sensing. We wholeheartedly appreciate your consideration in submitting manuscripts for this Special Issue. 

Dr. Yayun Cheng
Dr. Dong Zhu
Dr. Hailiang Lu
Dr. Guoping Hu
Dr. Jian Dong
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

  • microwave
  • millimeter wave
  • radiometer
  • radar
  • imaging systems
  • polarization
  • aperture synthesis
  • antenna design
  • detection and recognition
  • information extraction

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Published Papers (1 paper)

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Research

18 pages, 11212 KiB  
Article
Analysis and Correction of Antenna Pattern Errors for In-Orbit Fully Polarimetric Aperture Synthesis Radiometer
by Yuanchao Wu, Yinan Li, Xiaojiao Yang, Pengfei Li, Guangnan Song, Haofeng Dou and Hao Li
Remote Sens. 2025, 17(8), 1414; https://doi.org/10.3390/rs17081414 - 16 Apr 2025
Viewed by 130
Abstract
The fully polarimetric aperture synthesis radiometer (FPASR) is capable of acquiring the fully polarimetric brightness temperature (BT), which has become increasingly significant in remote sensing. Antenna pattern errors can introduce significant errors to the reconstructed image of the FPASR. Analyzing and correcting the [...] Read more.
The fully polarimetric aperture synthesis radiometer (FPASR) is capable of acquiring the fully polarimetric brightness temperature (BT), which has become increasingly significant in remote sensing. Antenna pattern errors can introduce significant errors to the reconstructed image of the FPASR. Analyzing and correcting the antenna pattern errors is crucial for obtaining high-quality BT images. In this paper, the antenna pattern errors are analyzed and classified into additive and multiplicative errors. A two-step correction method is proposed to reduce the influence of antenna pattern errors on the reconstructed BT. An end-to-end simulator for FPASR has been developed to assess both the antenna pattern errors and the effectiveness of the correction method. The simulation results show that the two-step correction method can reduce the brightness temperature error caused by the antenna pattern errors by over 70%. The successful image of the flight experiment validates the correction method as well. Full article
(This article belongs to the Special Issue Recent Advances in Microwave and Millimeter-Wave Imaging Sensing)
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