Recent Advances on Radar and Remote Sensing Using Satellite Signals of Opportunity
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 August 2021) | Viewed by 23224
Special Issue Editors
Interests: bi/multi-static radar; passive radar; radar signal processing; SAR and Inverse SAR
Special Issues, Collections and Topics in MDPI journals
Interests: passive radar; radar signal processing; multi-channel radar; SAR/ISAR
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Today, hundreds of satellites are actively in orbit around the Earth, including communication, navigation, and Earth observation satellites. Some of these stand alone, while others operate in constellations, handling different tasks, such as audio and video broadcasting, positioning services, environmental monitoring, and meteorology. They transmit signals in a wide range of the e.m. spectrum, from a few centimeters (microwave region) up to nanometers (ultraviolet region) depending on the particular operation, which can be generally accessed from almost every point over the Earth’s surface. These can be used as signals of opportunity for radar and remote sensing applications, offering new interesting opportunities for Earth observations and surveillance with some relevant benefits with respect to terrestrial illuminators: wider accessibility on the global scale, signals not blocked by mountains, and not reliance on potentially vulnerable infrastructure. The update of the current satellite fleets and the plan of new missions have stimulated a rising interest in the development of innovative system concepts and techniques for satellite-based radar (both passive and active) as well as remote sensing applications.
The aim of this Special Issue is to collect papers that cover recent advances on system and techniques enabled by satellite signals of opportunity for radar and remote sensing applications, including (but not limited to):
- Air traffic control
- Maritime surveillance
- Ground moving target indication
- Passive radar imaging
- PolInSAR
- 3D/4D SAR tomography
- Reflectometry
- Meteorology
- Monitoring and assessment of natural disasters and hazards
- Climate monitoring
- Geophysics and oceanography
- Hyperspectral imaging
- Scatterometry
- Deep learning for Earth observation
Dr. Diego Cristallini
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
- Satellite signals of opportunity
- Passive radar
- Passive SAR/ISAR
- Space-surface bistatic radar
- GMTI/STAP
- Earth Observation
- Reflectometry
- Imaging spectroscopy