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Development of NOAA Remote Sensed Data Processing System for Academic Global Research

用于全球学术研究的 NOAA 遥感数据处理系统的开发

基本信息

批准号：
63880007
负责人：
TAKAGI Mikio
金额：
$ 34.88万
依托单位：
University of Tokyo
依托单位国家：
日本
项目类别：
Grant-in-Aid for Developmental Scientific Research (B).
财政年份：
1988
资助国家：
日本
起止时间：
1988 至 1990
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-63880007/
关键词：
Remote Sensing Parallel Processing Database Image Processing 並列コンピュ-タと超高速デ-タベ-ス処理気象衛星NOAA 画像デ-タベ-ス Meteorological Satellite NOAA Image Processing Image Database 並列処理 Parallel Processing 画像データベース Prallel Processing

项目摘要

The objective of this research is to develop an integrated NOAA satellite imagery processing system which automatically receives the image data from the satellite and generates cariburated temperature map.In order to speed-up the image delivery service to the users, we introduced a parallel processing approach for sattelite image processing. First we parallelized the radiometric correction routine, which can be processed almost independently pixel by pixel.Linear speed up was obtained. Second the geometric correction routine was parallelized. This routine was not so easy as the radiometric one. We developed a novel elliptic model to caribulate the mapping error, through which we could obtain very high quality image. The mapping is performed by matching some characteristic points such as peninsula and gulf, which can be processed in parallel. After that the original map is decomposed into mesh of certain size and transformed to generate specific coordinated map. The size of mesh is a key parameter, which we finally obtained optimally through several experiments over a number of areas. The quantitative analysis of the correction error is also examined in detail. All the routine was implemented on the shared memory multi-processor system, sequent s81. We could attain higher performance on sequent than on mainframe computer which we have so far used.

本研究的目的是开发一套完整的NOAA卫星图像处理系统，该系统能够自动接收卫星的图像数据并生成卫星温度图，为了加快向用户提供图像传输服务的速度，我们引入了卫星图像处理的并行处理方法。首先，我们对辐射校正程序进行了并行化，该程序可以几乎独立地逐个像素地处理，从而获得了线性加速。其次，对几何校正程序进行了并行化。这个程序不像辐射测量程序那么简单。我们开发了一种新的椭圆模型来计算映射误差，通过该模型可以获得非常高质量的图像。映射是通过匹配半岛、海湾等特征点来完成的，可以并行处理。然后将原始地图分解成一定大小的网格，并对其进行变换，生成特定的坐标地图。网格的大小是一个关键参数，通过多个区域的多次实验，最终得到了最优的网格大小。并对修正误差进行了详细的定量分析。所有例程都在共享内存多处理器系统Sequent S81上实现。我们可以在Sequent上获得比我们迄今使用的大型机更高的性能。