Physics-Informed Information Exploitation in Radar Remote Sensing

Dear Colleagues,

Driven by the growing demand for extracting complex physical characteristics, target detection, recognition, and tracking in radar remote sensing have evolved from acquiring basic attributes such as position, velocity, and shape to retrieving sophisticated target physical properties. The application of novel radar architectures and advanced processing techniques has unlocked unprecedented potential for radar remote sensing technology, while traditional data-driven methods often lack physical interpretability and robustness in complex scenarios.

The primary focus of this Special Issue is to explore how to leverage radar system architectures, signal characteristics, and target physical properties to fully exploit deep-seated information such as scattering mechanisms, comprehensive motion signatures, fine target structures, symmetry/asymmetry features, working states, and mission intentions, as well as the spatiotemporal evolution characteristics of all these features, and conversely, how to utilize prior physical information of targets to optimize radar systems, signal processing, and sensing strategies, and overall remote sensing performance in complex scenarios.

Suggested themes: Physics-based remote sensing models, feature-based signal processing, multi-source information fusion, physical property retrieval, remote sensing performance optimization, complex scenario adaptation.

Article types: Original research papers, review articles, short communications, and technical notes.

Dr. Junling Wang
Dr. Bangjie Zhang
Guest Editors

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