Wave Propagation and Scattering in Complex Ground/Marine Environment
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Engineering Remote Sensing".
Deadline for manuscript submissions: 31 December 2025 | Viewed by 40
Special Issue Editors
Interests: radar wave propagation and scattering; environmental remote sensing; electromagnetic field and microwave technology
Interests: electromagnetic scattering; compound electromagnetic scattering of actual ground object environment and complex targets; super-resolution SAR based on electromagnetic modeling
Special Issues, Collections and Topics in MDPI journals
Interests: computational electromagnetics; electromagnetic scattering
Interests: electromagnetic scattering of sea surface; SAR Image
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The interaction between electromagnetic waves and complex environments (sea surfaces, bare soil, grasslands, forests, roads, etc.), as well as targets and interferences, is complex, with diverse mechanisms and scales. There are multiple effects such as radiation, diffuse scattering, surface scattering, body scattering, diffraction, multiple reflections, coupling, and occlusion, which seriously affect the accurate detection and recognition of targets in complex environments, wave propagation and communication channel modeling, and the inversion accuracy of ground/ocean remote sensing.
This Special issue will advance our shared understanding and applications of electromagnetic scattering and wave propagation in complex ground/marine environments. We invite submissions that address the latest methods, algorithms, and applications that enhance our ability to interpret and utilize echo data in these challenging scenarios.
Suggested themes:
- Electromagnetic modeling of complex environments;
- Composite scattering of target in complex environments;
- Calculation and application of wave propagation in complex environments;
- Fast modeling and prediction of ground/sea clutter;
- Modeling and effectiveness evaluation of active/passive interference characteristics in complex environments;
- Fast SAR/ ISAR imaging of complex environments and targets;
- Fast prediction of electromagnetic scattering on artificial intelligence;
- Multiscale and multisource data integration approaches for comprehensive environmental analysis.
Prof. Dr. Lixin Guo
Prof. Dr. Juan Li
Dr. Ke Li
Dr. Shuirong Chai
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
- electromagnetic modeling
- wave propagation
- SAR imaging
- active/passive interference
- ground/marine environment
- artificial intelligence
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