LOST-Tree: a spatio-temporal structure for efficient sensor data loading in a sensor web browser

We present LOST-Tree, a new spatio-temporal structure to manage sensor data loading and caching in a sensor web browser. In the same way that the World Wide Web needs a web browser to load and display web pages, the World-Wide Sensor Web needs a sensor web browser to access distributed and heterogeneous sensor networks. However, most existing sensor web browsers are just mashups of sensor locations and base maps that do not consider the scalability issues regarding transmitting large amounts of sensor readings over the Internet. While caching is an effective solution for alleviating the latency and bandwidth problems, a method for efficiently loading sensor data¹ from sensor web servers is currently missing. Therefore, we present LOST-Tree as a sensor data loading component that also manages the client-side cache on a sensor web browser. By applying LOST-Tree, redundant transmissions are avoided, enabling efficient loading with cached sensor data. We demonstrate that LOST-Tree is lightweight and scalable, in terms of sensor data volume. We implemented LOST-Tree in the GeoCENS sensor web browser for evaluation with a real sensor web dataset.     

基于瓦片技术的高分辨率遥感影像快速访问技术在测绘生产中的应用研究

随着地理信息和遥感技术的不断发展,高分辨率遥感影像的应用范围不断扩大,这对海量遥感影像的有效使用和管理提出了迫切需求。本文基于瓦片技术,对高分辨率遥感影像进行处理,实现了影像的快速访问。该技术已经应用到实际的测绘生产中,对提高生产效率和影像的统一管理具有重要意义。