Computational Electromagnetics in Remote Sensing: Wave Propagation and Scattering in Disordered Media
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Remote Sensors".
Deadline for manuscript submissions: closed (20 February 2023) | Viewed by 3747
Special Issue Editors
Interests: remote sensing; sensor networks; mobile networks; computational electromagnetics; Internet of Things
Special Issues, Collections and Topics in MDPI journals
Interests: wave scattering; radar imaging of terrains and sea; the applications of radar image
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This comprehensive Special Issue is intended mainly to cover remote sensing of objects in disordered media, including advanced wave propagation and scattering topics, as well as computational methods for waves in random media and rough surfaces. These topics have a domain of implications on the design and manufacture approaches of many civil and military systems that emit radiation to fulfill their operation efficiently. The primary focus of this issue is on realistic models of practical applications in radio wave propagation, remote sensing, optics, and scattering in free space and inhomogeneous random media, such as turbulence, ocean, rain, fog, and composite materials. Studying the effects of these media on scattering waves would essentially enhance the understanding of the behavior of wave measurements such as RCS (monostatic and bistatic) and backscattering enhancement to improve the functional capability of considered systems. Novel techniques that solve scattering problems, in addition to analytical and numerical models describing complex media, are of particular interest.
Prof. Dr. Hosam El-Ocla
Prof. Dr. Kun-Shan Chen
Prof. Dr. Yang Du
Guest Editors
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Keywords
- theory and optimized methods of direct/inverse scattering problems
- numerical and analytical analysis of scattering problems
- electromagnetic and optical propagation
- radar scattering, imaging, and applications
- imaging and remote sensing techniques and applications
- models of random and complex media and their effects on wave propagation
- rough surface properties
- AI-based computational electromagnetic wave and applications
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