将BG算法应用于增强微波辐射计空间分辨率 ,BG算法的基本原理是 ,如果测量密度大于仪器本身的分辨率 ,便可找到周围测量点的线性组合而得到一幅较高分辨率的图像 ,此原理同样适合其它遥感仪器。借鉴Stogryn的研究成果 ,在应用BG算法的同时 ,引入可调参数 ,它能够调整空间分辨率和系统的灵敏度之间的约束关系 ,使增强后的图像能够进行折衷处理 ,而不至于因为过分增强分辨率而使图像的斑点噪声增大 ,降低图像的质量。应用BG算法 ,对 2 0、5 0和 90GHz的微波仿真图像进行了图像增强处理 ,结果表明图像分辨率得到了增强 ,空间分辨率提高的倍数依赖于数据采样密度。

In this paper, a BG algorithm to enhance the spatial resolution of microwave radiometer is introduced. The main principle of the BG algorithm is as follows. A higher resolution image can be obtained using the linear combination of the adjacent measurements if the density of the measurement is larger than that of the instrument. The principle is also suitable for other microwave remote sensing sensors. The tunable parameter referenced from the study of Stogryn is introduced in this paper, which it can balance the tradeoff between the spatial resolution and the system sensitivity, and prevent increasing the flicker noise of the image too serious when high spatial resolution is pursued. Simulated images of microwave radiometer at 20, 50, and 90GHz were enhanced. The rate of spatial resolution enhancement depends on the density of the sampling.