NYI: SAR Image Formation and Processing Techniques for Environmental Monitoring

该研究利用了使用合成孔径雷达（SAR）来检测，分析和量化环境变化的优势。 第一个研究重点是改善SAR成像与相控阵机载或星载雷达。 通过适当设计相控阵雷达的发射波形，有效的合成孔径雷达成像技术正在得到发展。非参数和参数技术之间的权衡正在研究和理解。 第二个研究重点是SAR图像理解和地面实况评估。 统计聚类算法和各种特征提取方案，充分纳入电磁现象正在开发和评估。 第三个研究重点是通过对包括环境脆弱的佛罗里达湿地在内的关键区域进行重复SAR成像来检测、分析和量化环境变化。 正在开发变化检测技术，以量化和记录这些图像的细微环境变化。

The research exploits the advantages of using synthetic aperture radar (SAR) to detect, analyze, and quantify environmental changes. The first research thrust focuses on improving SAR image formation with a phased array airborne or spaceborne radar. Efficient SAR image formation techniques are being developed by appropriately designing the transmitted waveforms of the phased array radar. The trade-offs between nonparametric and parametric techniques are being studied and understood. The second research thrust focuses on the SAR image understanding and ground truth evaluation. Statistical clustering algorithms and various feature extraction schemes that adequately incorporate electromagnetic phenomenology are being developed and evaluated. The third research thrust focuses on the detection, analysis, and quantification of environmental changes through repeated SAR imaging of critical regions including the environmentally fragile Florida wetlands. Change detection techniques are being developed to quantify and document subtle environmental changes from these images.