The Theory for a Forward SAR Model: Implementation, Applications and Challenges

Inhalt:
The theoretical background underpinning the rapid prediction of approximate, high-fidelity SAR imagery is discussed. The concept of a SAR image as a transform of a multi-component reflectivity function is reviewed. A variety of techniques for the estimation of the reflectivity function in realistic scenes is discussed. Procedures for optimising code performance that preserve the fidelity of predicted SAR imagery, in particular interferometric coherence, whilst permitting efficient execution, are presented. The utility of these techniques is demonstrated by reference to examples of their application in SAR research. Emphasis is placed upon the validation of such models using real SAR observation wherever possible. The limitations of current SAR forward prediction technology are highlighted, along with strategies designed to meet the challenges of high frequency SAR image prediction from dense vegetation.