Abstract

Recent growth of the geospatial information on the web has made it possible to easily access various maps and orthoimagery. By integrating these maps and imagery, we can create intelligent images that combine the visual appeal and accuracy of imagery with the detailed attribution information often contained in diverse maps. However, accurately integrating maps and imagery from different data sources remains a challenging task. This is because spatial data obtained from various data sources may have different projections and different accuracy levels. Most of the existing algorithms only deal with vector to vector spatial data integration or require human intervention to accomplish imagery to map conflation. In this paper, we describe an information integration approach that utilizes common vector datasets as "glue" to automatically conflate imagery with street maps. We present efficient techniques to …

Date

November 12, 2004

Authors

Ching-Chien Chen, Craig A Knoblock, Cyrus Shahabi, Yao-Yi Chiang, Snehal Thakkar

Book

Proceedings of the 12th annual ACM international workshop on Geographic information systems

Pages

47-56