摘要
针对当前遥感影像数据量巨大的特点,如何利用相对有限的带宽来保障遥感数据高效、灵活的传输与服务是遥感数据应用的一个关键问题。本文基于Geo SOT全球剖分与编码体系提出了一种对网络带宽、用户请求和元数据信息自适应的遥感数据剖分分块方法,并设计了基于优先级函数的面片渐进传输方法,实现根据目标的变化量信息和导航路径偏移信息估计面片对用户的重要性,从而渐进传输感兴趣数据的功能。通过模拟实验证明该方法可以满足遥感数据自适应剖分、灵活传输应用的需求。
As remote sensing images are large in the amount of data, how to use of the relatively limited transmission bandwidth to efficiently and flexibly transfer remote sensing images has been a major concern of remote sensing data application. This paper proposes a subdivision method for remote sensing image service adaptive to transmission bandwidth, client requests and metadata, on the basis of the global subdivision grid Geo SOT. The paper also proposes a tile progressive transmission method based on priority functions, which estimates the importance of tiles to client according to the changing detection results and deviations to navigation routes, and progressively transfer the data of interest. Simulation result shows that the proposed method could efficiently and flexibly realize the remote sensing image adaptive subdivision and progressive transmission.
出处
《地理信息世界》
2016年第2期1-8,共8页
Geomatics World
基金
国家重点基础研究发展计划(973)项目(61399)资助
关键词
全球剖分网格
遥感数据
自适应剖分分块
渐进传输
global subdivision grid
remote sensing image
adaptive subdivision
progressive transmission
