Artificial Intelligence (AI)-Assisted Synthetic Aperture Radar (SAR) Data Processing and Application
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 November 2024 | Viewed by 1367
Special Issue Editors
Interests: machine learning; deep learning; image processing; remote sensing image interpretation
Interests: synthetic aperture radar (SAR); multi-sensor image processing and fusion; automated geometric correction of multi-sensor images
Special Issues, Collections and Topics in MDPI journals
Interests: SAR data processing and application; LiDAR data processing and application
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Synthetic aperture radar (SAR) sensors are widely used in remote sensing applications for their all-day and all-weather imaging abilities. With the continuous emergence of new technologies, such as polarimetric SAR (PolSAR), interferometric SAR (InSAR), differential interferometric SAR (DInSAR), permanent scatterers SAR interferometry (PSInSAR), tomography SAR (TomoSAR), etc., the SAR opens a new window for us to understand the world, and its application has been extended to various fields, such as object monitoring, environmental protection, disaster management, urban planning, situational awareness, etc.
The massive amount of data obtained via a large number of satellites or aerial vehicles poses opportunities and challenges for the processing and application of SAR remote sensing data. How to interpret and utilize these data efficaciously and efficiently is a hot and difficult research topic in the related communities. In recent years, artificial intelligence (AI), especially deep learning (DL) techniques, has provided promising tools to overcome many challenging issues in the processing and utilizing of SAR data.
In this Special Issue, we are looking forward to receiving a variety of research contributions, whether they are theoretical or heuristic, that focus on the processing and/or utilizing of SAR data/images with AI techniques. We expect that new research will address practical problems with the help of advanced AI methods, and provide valuable insights into developing better SAR data processing techniques for a broad range of applications.
Original submissions are welcome. Suggested themes of interest include, but are not limited to, the following:
SAR Data Processing:
- Advances in SAR data pre-processing, processing, or post-processing technologies.
- Advances in InSAR, DInSAR, PSInSAR, TomoSAR technologies.
- SAR image enhancement, augmentation, or generation.
- Image fusion or translation between SAR and optical sensors.
SAR Data Applications:
- Advances in SAR data/image based object detection, recognition, re-identification, classification, and tracking.
- SAR data/image based urban, land, ocean, ice, soil, and vegetation applications.
Prof. Dr. Haitao Lang
Prof. Dr. Hyung-Sup Jung
Prof. Dr. Xudong Lai
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
- synthetic aperture radar (SAR)
- remote sensing
- data processing
- deep learning (DL)
- artificial intelligence (AI)
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue polices can be found here.
