Authors: Baode Jiang*,
Keywords: Internet transmission,multi-scale representations, fractal interpolation, cartographic curves
Session Type: Paper
Start / End Time: 3:05 PM / 4:45 PM
Room: 8223, Park Tower Suites, Marriott, Lobby Level
Presentation File: No File Uploaded
Automatic generation of multi-scale representations for the cartographic curves has been the research focus in map generalization for a long time. In web-based environment, the traditional automatic map generalization costs a lot of computational performance, which seriously affects the response time of the server and causes the client connection timeout. Moreover, in order to display multi-scale visualization on the client, different scale cartographic curves need to be transferred to the client side from the server side, which causes a large number of redundant data transmissions and great consumption of network traffic and bandwidth. To address these limitations, this study proposes a fractal model for making cartographic curve data multi-scale representation and rapid transmission over the internet. First, on the server side, the cartographic curves are encoded into bending data structure stream for rapid transmission over the Internet. Then, on the client side, a new reconstruction method based on the controlled fractal interpolation model is presented to decode the received data and derive different scale curve map. The experiment results show that this method can decrease the transmission data of cartographic curves by encoding the curve data before transmission and moving the multi-scale representation from the server side to the client side, and it can effectively improve the transmission performance over the Internet.