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18 January 2010 A general approach to discovering, registering, and extracting features from raster maps
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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.
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Craig A. Knoblock, Ching-Chien Chen, Yao-Yi Chiang, Aman Goel, Matthew Michelson, and Cyrus Shahabi "A general approach to discovering, registering, and extracting features from raster maps", Proc. SPIE 7534, Document Recognition and Retrieval XVII, 753402 (18 January 2010); https://doi.org/10.1117/12.838967
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