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Advances in Radar Remote Sensing Processing and Applications

This special issue belongs to the section “Remote Sensing Image Processing“.

Special Issue Information

Dear Colleagues,

In recent decades, an unprecedented amount of data have been gathered by the radar remote sensing community, which has contributed to the development of an increasing number of applications for the analysis of our environment.

This is due to the ability of radar sensors to operate independently of solar illuminations and penetrate clouds. In addition, interest in these sensors stems from their ability to analyze, detect, localize, and identify the slightest changes in the environment (maritime environments, terrestrial environments, urban areas, etc.).

These tools have been improved using the synthetic aperture radar (SAR) technique. With the advantages of this technique, it is not surprising that radar image processing is commonly used for the study of our Earth (including environmental sciences, littoral zones, oceans, earthquakes, hydrology, urban planning, etc.) and also in the study of the problems associated with the automatic recognition of targets (ATR) in a heterogeneous environment (including terrestrial, maritime and aerial environments) to provide, for example, a detailed description of battlefield situational awareness (ships, planes, tanks, armoured personnel carriers, drones, etc.).

In this Special Issue on radar remote sensing processing, we propose an overview of the technological and scientific advances in radar processing and applications. Authors are encouraged to present contributions on the exploitation of satellites or airborne SAR images in various problems. Advanced processing techniques such as interferometric SAR (InSAR), differential InSAR, or polarimetric SAR imaging are also included in the scope of this SI.

Therefore, we encourage you to submit your recent and innovative work in this field to this Special Issue dedicated to "Advances in Radar Remote Sensing Processing and Applications".

Authors are required to check and follow the specific Instructions to Authors, which can be found at the following link: https://www.mdpi.com/journal/remotesensing/instructions.

Dr. Jean-Christophe Cexus
Prof. Dr. Ali Khenchaf
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

  • synthetic aperture radar (SAR, ISAR, etc.)
  • airborne and satellite systems
  • signal and image processing
  • machine (deep) learning
  • compressive sensing
  • environmental monitoring (maritime environments, terrestrial environments, urban areas, etc.)
  • applications (target recognition, target detection, target tracking, target location, pollution detection, tomography, etc.)

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Remote Sens. - ISSN 2072-4292