Identifying geographic-areas based on change patterns...

Data processing: database and file management or data structures – Database and file access – Post processing of search results

Reexamination Certificate

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C707S706000, C707S722000, C707S736000, C707S748000, C707S752000, C701S003000, C382S181000, C705S001100

Reexamination Certificate

active

08001115

ABSTRACT:
A method, system, and medium are provided for identifying terrestrial objects that have changed in a certain manner. One embodiment of the method includes receiving a query that includes one or more inputs, which are related to 1) a first terrestrial object (“first object”) and 2) source change-detection information that describes change associated with the first object; applying the query to a dataset that includes indexed information that describes the imagery; based on the one or more inputs, receiving a query result by identifying a set of regions in the dataset that are respectively associated with change information that is similar to that of the source change-detection information; and presenting on a presentation device indications of at least a portion of the identified set of regions.

REFERENCES:
patent: 5719949 (1998-02-01), Koeln et al.
patent: 5802361 (1998-09-01), Wang et al.
patent: 2007/0162193 (2007-07-01), Garceau et al.
Aaron K. Shackelford, et al., “A Hierarchical Fuzzy Classification Approach for High-Resolution Multispectral Data Over Urban Areas,” IEEE Transactions on Geoscience and Remote Sensing, vol. 41, No. 9, Sep. 2003, 13 pp.
Aaron K. Shackelford, et al., “A Combined Fuzzy Pixel-Based and Object-Based Approach for Classification of High-Resolution Multispectral Data Over Urban Areas,” IEEE Transactions on Geoscience and Remote Sensing, vol. 41, No. 10, Oct. 2003, 10 pp.
Matt Klaric, et al., “Automated Object Extraction Through Simplification of the Differential Morphological Profile for High-Resolution Satellite Imagery,” IEEE, Department of Computer Science, Department of Electrical and Computer Engineering, Center for Geospatial Intelligence, University of Missouri-Columbia, Columbia, Missouri 65211., 2005, 4 pp.
Chi-Ren Shyu, et al., “Mining Image Content Associations for Visual Semantic Modeling in Geospatial Information Indexing and Retrieval,” Department of Computer Science, Department of Electrical and Computer Engineering, Center for Geospatial Intelligence, University of Missouri-Columbia, Columbia, Missouri 65211, USA., 2005, 4 pp.
Chi-Ren Shyu, et al., “GeoIRIS: Geospatial Information Retrieval and Indexing System—Content Mining, Semantics Modeling, and Complex Queries,” IEEE Transactions on Geoscience and Remote Sensing, vol. 45, No. 4, Apr. 2007, 14 pp.
Grant Scott, et al., “Knowledge-Driven Multidimensional Indexing Structure for Biomedical Media Database Retrieval,” IEEE, Medical and Biological Digital Library Research Lab, Department of Computer Science, University of Missouri—Columbia, 2007, 12 pp.
Grant J. Scott, et al., “Knowledge-Driven Multidimensional Indexing for Content-Based Information Retrieval,” May 2008, 173 pp.
Curt Davis, Ph.D., “Geospatial Imagery Retrieval & Indexing System,” Apr. 30, 2008, 46 pp.
Office Action mailed Dec. 21, 2010 in U.S. Appl. No. 12/254,638, 18 pages.

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