摘要
针对广泛区域的气象图像中不同时期的图像数量及其巨大,经典匹配算法需要将气象图像与带检索的气象灰度、梯度等特征逐个进行对比,一旦区域过大使得气象遥感图像形成海量,将造成匹配耗费时间;为此提出了一种基于云计算的广域海量气象遥感图像检索技术;建立云计算图像搜索匹配模型,通过有效的采集特征参数值,运用匹配云转化处理,从而完成广域海量气象遥感图像检索匹配;克服了传统的图像检索过程的弊端;实验证明,这种算法能够避免由于气象图像采集区域过广,检索集时间从41s缩短到23s,提高了气象图像检索的效率。
On a wide range of regional meteorological image in different period and the huge number, classic matching algorithm need to meteorological image retrieval with meteorological gray, gradient features carry on the contrast, once the area too wide, will cause massive match time consuming. Therefore proposed based on cloud computing of wide area mass meteorological remote sensing image retrieval tech- nology. Establish cloud computing image search matching model, through effective acquisition characteristic parameters, the use of matching cloud conversion process, thus completing wide area mass meteorological remote sensing image retrieval matching. To overcome the tradi tional image retrieval process defects. Experiments show that the algorithm can avoid the meteorological image acquisition area wide, retrieval set time from 41 seconds shortened to 23 seconds, improve the efficiency of the meteorological image retrieval.
出处
《计算机测量与控制》
北大核心
2013年第4期1002-1004,共3页
Computer Measurement &Control
关键词
云计算
广域图像
气象遥感图像
检索
cloud computing
wide area image
meteorological remote sensing image
retrieval
