A Method for Evaluating Unmixing Performance of Urban Tomographic SAR

Le résumé fourni par la source

Tomographic Synthetic Aperture Radar (TomoSAR) has the capability to unmix overlapping scatterers and reconstruct the 3D point cloud of urban targets. To address the gap in the current research on evaluating TomoSAR processing, we propose a novel performance evaluation method for TomoSAR unmixing, based on an ideal point cloud. The method employs a clustering algorithm to determine the optimal overlap distribution tailored to various experimental conditions, thereby providing a robust framework for assessing the unmixing performance of TomoSAR processing. In our experiments, conducted using a typical urban model, we demonstrate that: (1) The proposed method enables direct pixel-by-pixel evaluation of the processing results, offering both efficiency and clarity; (2) The unmixing performance metrics introduced in this study can be extended to assess the performance under different overlap conditions, providing a more comprehensive evaluation of TomoSAR processing.

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