摘要
在遥感图像应用中,为了满足海量数据快速处理和图像清晰化的需求,设计了遥感图像复原网格平台的处理流程和框架,使用有约束去卷积算法对图像进行复原,采用块处理和Neumann边界条件解决了网格复原中的海量数据快速处理和边界效应等问题,并基于中间件技术开发了应用软件。实验结果表明,开发的遥感图像复原网格处理平台能极大地提高海量数据的处理效率并得到满意的复原结果。
In order to satisfy the demand of large amount of data quick processing and image sharpness in remote sensing image application, we design the processing flow and frame of grid platform of remote sensing image restoration, the constrained deconvolution algorithm is used to restore image, large amount of data quick processing and boundary effect are resolved by the use of block processing and Neumann edge conditions, and the application software based on middleware technology is developed. The test result shows that the grid processing platform of remote sensing image restoration can greatly improve processing efficiency of large amount of data and obtain the satisfying restoration result.
出处
《计算机应用研究》
CSCD
北大核心
2006年第12期351-353,共3页
Application Research of Computers
基金
国家"863"计划资助项目(2003AA135010)
关键词
遥感图像
网格处理
复原
中间件
Remote Sensing
Grid Processing
Restoration
Middleware
