Title :
Study on automatic vectorization of thematic map based on Neighborhood Filling
Author :
Chen, Jun ; Miao, Fang ; Lu, Hanyu ; Duan, Yingjie
Author_Institution :
Key Lab. of Eearth Exploration & Inf. Tech. of Minist. of Educ., Chengdu Univ. of Technol., Chengdu, China
Abstract :
It is difficult to distill vector data from thematic map automatically and accurately because of disturb information. Therefore, an algorithm named Neighborhood Filling is discussed here to separate disturb information from thematic map. On the basis of distinction between disturb information and the interference background information. Set some background information on the priority. Use principle of space nearest neighbor information and priority to fill interference neighborhood on disturb information. Experiment shows that the algorithm can effectively remove the interference information and to restore the image. So that making the thematic map automatic vectorization is possible.
Keywords :
cartography; geophysical techniques; geophysics computing; interference; vectors; automatic vectorization; disturb information; interference background information; interference neighborhood; nearest neighbor information; neighborhood filling algorithm; thematic map; vector data; Data mining; Image color analysis; Interference; Lakes; Pixel; Rail transportation; Roads; Automatic Vectorization; Neighborhood filling; Thematic Map;
Conference_Titel :
Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-9172-8
DOI :
10.1109/RSETE.2011.5965802