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Spaceborne SAR Calibration Technology

This special issue belongs to the section “Satellite Missions for Earth and Planetary Exploration“.

Special Issue Information

Dear Colleagues,

Many modern spaceborne synthetic aperture radar (SAR) missions have been launched or planned to be launched by many space agencies and commercial entities in recent years, with various imaging modes (HRWS mode) and various frequency configurations, such as L-band (Alos-2, LT-1, and SAOCOM missions), C-band (GF-3 and Radarsat-2) and X-band (TerraSAR-X) configurations. With the development of SAR imaging technology and the promotion of its applications, spaceborne SAR systems have gradually been developed from LEO, single-platform, and Earth observation systems to MEO and GEO, multistatic (MirroSAR and MIMO), large constellation (Capella and ICEYE missions), and moon and other planet observation (CHANGE and Chandrayaan missions) systems. SAR calibration techniques for these spaceborne sensors are required to guarantee and provide tremendous high-quality multidimensional SAR images with high geometric, radiometric, polarimetric, and interferometric accuracy for the inversion of geophysical parameters and quantitative remote sensing applications. However, it is still challenging to meet the above requirements of modern SAR systems.

This Special Issue aims to collect high-level contributions related to advances in “Spaceborne SAR Calibration Technology”. Both original research articles with innovative ideas and review articles discussing state-of-the-art research are welcome.

We would like to invite research papers presenting deviations of calibration requirements and specifications, systematic error analyses and modeling,  calibration targets and sites (cooperate passive or active targets; PS;  target of opportunity; and degradation of rainforest, moon, and other planet mission calibrations), calibration methods and techniques (cross-inter, automatic calibration for large constellations; and long-term calibration and health monitoring), novel calibration concepts, big data and AI techniques for SAR calibration, and ongoing and future mission calibration. Well-prepared, unpublished submissions that address one or more of the following topics are welcome.

Prof. Dr. Liang Li
Prof. Dr. Feng Ming
Prof. Dr. Yu Wang
Prof. Dr. Robert Wang
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 250 words) can be sent to the Editorial Office for assessment.

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

  • novel calibration concept
  • polarimetric and interferometric radar calibration model
  • LT-1, TerraSAR-X GF-3, HJ-1-E, and ALOS-2 calibration for SAR data
  • calibration algorithms
  • big data and AI for calibration
  • ongoing and future missions’ calibration

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Remote Sens. - ISSN 2072-4292