Environ. Res. Inst. of Michigan, Ann Arbor, MI.
IEEE Trans Image Process. 1997;6(1):21-35. doi: 10.1109/83.552094.
We develop and investigate several novel multiresolution algorithms for detecting coherent radar targets embedded in clutter. These multiresolution detectors exploit the fact that prominent target scatterers interfere in a characteristic manner as resolution is changed, while multiresolution clutter signatures are random. We show, both on simulated and collected synthetic aperture radar data, that these multiresolution algorithms yield significant detection improvements over single-pixel, single-resolution constant false alarm rate (CFAR) methods that use only the finest available resolution.
我们开发并研究了几种新颖的多分辨率算法，用于检测嵌入在杂波中的相干雷达目标。这些多分辨率探测器利用了这样一个事实，即随着分辨率的变化，显著的目标散射体以特征方式相互干扰，而多分辨率杂波特征是随机的。我们在模拟和收集的合成孔径雷达数据上都表明，这些多分辨率算法在仅使用最精细可用分辨率的单像素、单分辨率恒虚警率（CFAR）方法的基础上，显著提高了检测性能。
