Special Issue "Microwave Remote Sensing for Object Detection"
Deadline for manuscript submissions: closed (31 October 2023) | Viewed by 14230
Interests: Synthetic Apeture Radar (SAR) imaging; real-time radar imaging processor; SAR image processing
Interests: Synthetic Aperture Radar (SAR) imaging; none-line-of-sight radar imaging
Interests: Synthetic Apeture Radar (SAR) imaging; moving target imaging; feature enhancement
As a method of microwave remote sensing, synthetic aperture radar (SAR) technology has developed rapidly in recent years, while the SAR image processing is developing towards achieving higher resolution, multi polarization and high processing speeds. By focusing on various imaging scenes such as airports, harbors, complicated land regions or sea, the SAR images can cover different objects such as airplanes, ships, vehicles, etc. The question of how to locate and find interesting targets quickly and accurately using these large-scale SAR images is clearly gaining significance. For instance, real-time ship detection methods in SAR images are conducive to marine resource management, search and rescue and so on. In particular, the detection and recognition method based on deep learning promotes the ability of target detection in microwave images.
This Special Issue aims to include studies that cover different object detection methods based on different microwave remote sensors and platforms. Topics may cover anything from the target detection, target recognition under complicated land regions or sea conditions, to more comprehensive targets and scenes. Hence, both conventional detection methods and new deep learning-based object detection methods, such as convolutional neural networks and transformer networks for microwave images, are welcome.
- Target detection and recognition in microwave images/SAR images;
- Deep learning methods for SAR image understanding;
- Transfer learning and few sample learning in SAR images.
Prof. Dr. Guangcai Sun
Dr. Jiang Qian
Dr. Lei Yang
Dr. Jinsong Zhang
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.
- Synthetic Aperture Radar (SAR)
- airborne and satellite systems
- objection detection and recognition
- machine learning, compressive sensing
- deep neural network sand few sample learning
- ground moving target indication (GMTI)
- change detection in SAR images
- generative adversarial networks (GANs)
- ship detection and ship traffic