Synthetic Aperture Radar (SAR) Simulation and Processing

Dear Colleagues,

Synthetic Aperture Radar (SAR) is a powerful remote sensing technique able to perform global and almost continuous monitoring of the Earth’s surface, thanks to its all-weather and day-and-night acquisition capabilities. It is now a well-established technology, and the main space agencies in the world have launched several SAR missions that currently provide us with an unprecedented amount of data. However, exctracting from such data the information required by each of the many potential applications (soil moisture retrieval, urban area monitoring, sea state monitoring, wind retrieval, ship detection, etc.) is often not an easy task. It requires on one hand refined data processing, and, on the other hand, proper models to simulate the interaction between the observed scene and the impinging electromagnetic wave. In addition, new missions implementing new acquisition modes (e.g., TOPS, forward-looking, staggered SAR) and observation geometries (bistatic, multistatic) are currently being planned. Therefore, new processing methods must be devised, and SAR raw signal simulation techniques must be developed to help engineers design new SAR systems.

Within this framework, for this Special Issue contributions are solicited on the following topics:

- SAR raw signal simulation techniques;

- simulation of bistatic and/or multistatic SAR systems;

- electromagnetic scattering models for SAR signal simulation;

- innovative SAR processing algorithms;

- SAR processing algorithms for innovative acquisition modes and geometries;

- post-processing techniques;

- SAR despeckling;

- Interferometric and polarimentric SAR processing methods;

- SAR tomography; and

- observed surface parameters retrieval.

Prof. Dr. Antonio Iodice
Dr. Gerardo Di Martino
Guest Editors

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