Automated Feature Generation in Large-Scale Geospatial Libraries for Content-Based Indexing
Kenneth W. Tobin, Budhendra Bhaduri, Eddie A. Bright, Anil Cheriyadat, Thomas P. Karnowski, Paul J. Palathingal, Thomas E. Potok, Jeffery R. Price · Photogrammetric Engineering & Remote Sensing · 2006
We describe a method for indexing and retrieving high-resolution image regions in large geospatial data libraries. An automated feature extraction method is used that generates a unique and specific structural description of each segment of a tessellated input image file. These tessellated regions are then merged into similar groups, or sub-regions, and indexed to provide flexible and varied retrieval in a query-by-example environment. The methods of tessellation, feature extraction, sub-region clustering, indexing, and retrieval are described and demonstrated using a geospatial library representing a 153 km2 region of land in East Tennessee at 0.5 m per pixel resolution.