Share Email Print
cover

Proceedings Paper

A general approach to discovering, registering, and extracting features from raster maps
Author(s): Craig A. Knoblock; Ching-Chien Chen; Yao-Yi Chiang; Aman Goel; Matthew Michelson; Cyrus Shahabi
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Maps can be a great source of information for a given geographic region, but they can be difficult to find and even harder to process. A significant problem is that many interesting and useful maps are only available in raster format, and even worse many maps have been poorly scanned and they are often compressed with lossy compression algorithms. Furthermore, for many of these maps there is no meta data providing the geographic coordinates, scale, or projection. Previous research on map processing has developed techniques that typically work on maps from a single map source. In contrast, we have developed a general approach to finding and processing street maps. This includes techniques for discovering maps online, extracting geographic and textual features from maps, using the extracted features to determine the geographic coordinates of the maps, and aligning the maps with imagery. The resulting system can find, register, and extract a variety of features from raster maps, which can then be used for various applications, such as annotating satellite imagery, creating and updating maps, or constructing detailed gazetteers.

Paper Details

Date Published: 18 January 2010
PDF: 15 pages
Proc. SPIE 7534, Document Recognition and Retrieval XVII, 753402 (18 January 2010); doi: 10.1117/12.838967
Show Author Affiliations
Craig A. Knoblock, Univ. of Southern California (United States)
Geosemble Technologies (United States)
Ching-Chien Chen, Geosemble Technologies (United States)
Yao-Yi Chiang, Univ. of Southern California (United States)
Aman Goel, Univ. of Southern California (United States)
Matthew Michelson, Fetch Technologies (United States)
Cyrus Shahabi, Univ. of Southern California (United States)
Geosemble Technologies (United States)


Published in SPIE Proceedings Vol. 7534:
Document Recognition and Retrieval XVII
Laurence Likforman-Sulem; Gady Agam, Editor(s)

© SPIE. Terms of Use
Back to Top