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一种卫星云图局部标准差图像的快速算法
引用本文:权维俊,高燕虎,刘勇洪,栾庆祖.一种卫星云图局部标准差图像的快速算法[J].气象科技,2013,41(2):217-223.
作者姓名:权维俊  高燕虎  刘勇洪  栾庆祖
作者单位:1. 中国科学院大气物理研究所中层大气和全球环境探测开放实验室,北京100029;北京市气候中心,北京100089
2. 北京市气候中心,北京,100089
基金项目:中国气象局2012年气象关键技术集成与应用项目,GF局地高温产品验证分析与应用项目资助
摘    要:局部标准差图像(Local Standard Deviation image,LSD)在卫星图像的空间一致性检测中有着重要的作用,然而利用传统的滑动窗技术计算局部标准差图像时,由于大量的循环过程使运算速度较慢,特别是当卫星图像较大而滑动窗较小时,这种运算更为耗时.采用了矩阵运算的思路,提出了根据滑动窗大小将卫星图像数组按一定方向和偏移量进行整体平移,然后对经过平移后的图像数组进行数学运算来获取标准差图像的快速算法.通过计算2005年1月1日的NOAA-16/AVHRR通道4亮温局部标准差图像实例表明,采用快速算法的计算效率相对于传统滑动窗算法计算效率提高明显.

关 键 词:局部标准差  滑动窗  快速算法  卫星云图  AVHRR
收稿时间:2011/12/5 0:00:00
修稿时间:2012/11/6 0:00:00

A Fast Algorithm for Calculation of Local Standard Deviation Images from Satellite Imagery
Quan Weijun,Gao Yanhu,Liu Yonghong and Luan Qingzu.A Fast Algorithm for Calculation of Local Standard Deviation Images from Satellite Imagery[J].Meteorological Science and Technology,2013,41(2):217-223.
Authors:Quan Weijun  Gao Yanhu  Liu Yonghong and Luan Qingzu
Abstract:The Local Standard Deviation (LSD) images play an important role in the spatial coherence test with satellite imagery. The traditional sliding window approach, however, is very slow in computing LSD owing to its longer iteration times during operation. Especially, in the case of large imagery and small size of the sliding window, the operation is remarkably time consuming. A fast algorithm for calculating LSD is presented based on the idea of matrix operation. The first step of the algorithm is to shift the raw image matrix in different directions to generate a series of new image matrices. Then, LSD is calculated by using mathematic operation on the shifted image matrices generated in firs step. Finally, the NOAA 16/AVHRR images measured on January 1, 2005 are used as an example to calculate the LSD of Channel 4 brightness temperature by using the fast algorithm presented and the sliding window approach, respectively. The results show that the compute efficiency of the fast algorithm is evidently higher than that of the sliding window approach.
Keywords:local standard deviation  sliding window approach  fast algorithm  satellite imagery  AVHRR
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