Development of Radar Imaging by Compressive Sensing and Spatial Sampling

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We developed effective radar imaging technologies using less numbered sampled data set with imaging algorithm including Compressive Sensing (CS), and data interpolation. We applied the Model Based CS algorithm to the real GPR data sets acquired in Cambodia Mine fields, and found it gives higher resolution image. 2 ALIS systems have detected 83 buried landmines and UXO in Cambodia, and we have cleared 44ha mine contaminated field. We evaluated the atmospheric effect in the interfeometric analysis of GB-SAR system for land slide monitoring, and proposed sub-image method to detect coherent radar points.