节点文献
基于互联网的影像金字塔设计与实现
【作者】 贺丽萍;
【导师】 刘强;
【作者基本信息】 电子科技大学 , 检测技术与自动化装置, 2008, 硕士
【摘要】 目前国内外基于互联网的漫游系统非常多,但都是针对于特殊用途建立的,使用对象都是遥感领域专业人员,因此自主开发一套数字区域基础软件来展开区域内针对性的应用是非常有意义的。而遥感影像数据量却随着新型传感技术的发展、遥感图像的时间、空间、和光谱分辨率不断提高,正呈几何级数的速率增长。同时,Internet技术的飞速发展使得通过网络实现遥感影像数据共享已经成为现实。但是海量影像数据的共享与网络有限带宽二者之间却构成了尖锐的矛盾。本文开发的数字区域软件平台是基于互联网的遥感影像漫游系统,海量遥感影像的压缩与传输问题成了影响影像漫游性能的关键因素。结合数字区域软件平台的特性,很好的解决海量遥感影像的压缩与传输问题,提高系统的漫游性能是本文的研究目的所在。本文在对海量影像数据组织管理和共享的研究基础上,提出并实现了开发该软件的解决方案。即采用新一代的静止图像压缩标准JPEG2000压缩影像,采用影像动态压缩与静态压缩相结合,同时采用基于C/S(Client/Server)模式来传输遥感影像数据,提供客户端对存储与服务器的区域遥感影像进行漫游等操作。在遥感影像数据压缩入库之前,还对影像数据采取了影像分块和金字塔模型进行处理,进一步方便影像压缩以及利于通过网络传输显示,此外,客户端还设计并实现了基于多线程的高速缓冲机制来提高性能。论文最后通过相关试验数据分析该方案的可行性,最后提交数字区域软件基础平台的实现作为成果。
【Abstract】 Up till now, many software, which manage the remote sensing data, have appeared around the world. However, most of them face to the experts, and nearly few of them face to the public. Therefore it is very necessary to design an independent software platform to solve this problem. Today, the amount of RS data is increasing quickly by the development of the sensors, the time resolution, the spectral resolution, and the spatial resolution as well. On the other hand, with the rapid development of Internet technology, it is a realism that access and share the remote sensing image data through the Internet. However, the contradiction between the massive remote sensing data and the limited bandwidth of Internet seriously impacts the transmissions and the full applications of the remote sensing data.Solving the compression and transmission of massive sense data plays an important role on Digital Region Software Platform we designed which based on Internet.An independent software platform is proposed in this paper, which based on the studies of organization and management of remote sensing data, distribution processing mechanism in the sharing network, and the newly image compression standard JPEG2000 as well. The goals are to organize and manage the massive remote sensing data based on tile and pyramid hierarchy structure, to compress the image dynamically and statically based on JPEG2000 compression standard, and to transmit the image data based on the C/S mode. At the end of this paper, the platform is proved to be available by some tests.
【Key words】 massive remote sensing image; JPEG2000 compression standard; network transmission; tile and pyramid hierarchy structure;