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► Journal BrowserSpecial Issue "Radar and Microwave Sensor Systems: Technology and Applications"
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Engineering Remote Sensing".
Deadline for manuscript submissions: 1 December 2023 | Viewed by 681
Special Issue Editors
Interests: evolutionary computation; image processing; data mining
Dr. Pia Addabbo
Interests: statistical signal processing applied to radar target recognition global navigation satellite system reflectometry, and hyperspectral unmixing; elaboration of satellite data for Earth observation with application in imaging and sounding with passive (multispectral and hyperspectral) and active (SAR, GNSS-R) sensors
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Sensor technology, which is currently of great significance, originated in the 1950s. Like the "ear" and "eye", sensors have powerful information-acquisition capabilities, and they play an important role in radar. As one of the most popular types, microwave sensors can work continuously in all weather conditions, and have the ability to penetrate ice, snow, forest and soil. With fast imaging, microwave sensors can receive microwave radiation with a wavelength of 1mm~30cm; the corresponding images cover large areas, and the targets are clear and recognizable. Synthetic aperture radar (SAR), equipped with a microwave sensor, is an active Earth observation system, and has been carried on aircrafts, satellites and other flight platforms. SAR has been widely used in resource exploration, disaster assessment, military mapping and other fields; this is mainly because a microwave’s wider spectral band provides SAR images with rich information, making it appropriate for high-level applications.
This Special Issue welcomes studies on the processing and interpretation of data from radars with microwave sensors. Topics may cover any topic, from land cover classification or segmentation to more comprehensive aims and scales. We also welcome studies on military target detection, SAR image feature extraction and SAR image denoising. Articles may address, but are not limited to, the following topics:
- 3-D target reconstruction;
- Land cover segmentation;
- Land cover classification;
- Change detection;
- Target recognition;
- Image denoising;
- Terrain analysis;
- Flood detection;
- Sea ice concentration estimation;
- Geomorphologic extraction of an active volcano;
- Bridge thermal dilation monitoring.
Prof. Dr. Ronghua Shang
Dr. Pia Addabbo
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
- SAR image
- microwave sensor
- segmentation
- terrain analysis
- classification
- denoising
- reconstruction
