海量影像数据的网络传输和多分辨率显示是实现网络环境下影像图形浏览的关键。利用对等网络结构,借鉴基于P2P的文件下栽相关技术,提出一种基于P2P的影像传输模型。在遥感影像分级分块的基础上,该模型通过构建基于兴趣区域分组的多追踪器覆盖网络,实现了节点加入和邻近节点选择的算法优化。通过模拟试验证明了模型中邻近节点选择的优化性能,并开发了原型系统IMAGEP2P。%The transmission and multi-resolution disptay of massive image data is the key to view image graphics under the network environment. An image transmission model based on P2P is proposed, which makes use of peerto-peer network architecture and refers to the techniques of P2P file download. With a multi-trackers overlay network established on the classification of image block, the model can optimize algorithms for the peer joining and neighboring nodes selection based on regional interest groups, Finally, this paper also exposes the advantages of neighboring nodes selection algorithm with a simulated experiment and implements a prototype system-IMAGEP2P.
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