Geospatial Information Retrieval and Indexing System

Searching for relevant knowledge across heterogeneous geospatial databases has always required an extensive knowledge of the semantic meaning of images, a keen eye for its visual patterns, and efficient strategies for collecting and analyzing data with minimal human intervention. We have developed a content-based, multi-modal Geospatial Information Retrieval and Indexing System which incudes automatic feature extraction, visual content mining from large-scale image databases, and high-dimensional database indexing for fast retrieval. Using these underpinnings, we have developed techniques for complex queries that merge information from heterogeneous geospatial databases; retrievals of objects based on shape and visual characteristics; analysis of multi-object relationships for the retrieval of objects in specific spatial configurations; and semantic models to link low-level image features with high level visual descriptors. GeoIRIS is able to answer analysts' questions in seconds, such as "given a query image, show me database satellite images that have similar objects and their spatial relationships are within a certain radius of a landmark."

• Status: Active
• Funding: National Geospatial-Intelligence Agency (NGA)
• Members: Adrian Barb Matt Klaric Grant Scott Chi-Ren Shyu

• Publications:
  Grant Scott, Matt Klaric, and Chi-Ren Shyu. Modeling Multi-Object Spatial Relationships for Satellite Image Database Indexing and Retrieval, in Lecture Notes in Computer Science (LNCS), Vol. 3568, Singapore, July 2005; 247-256
  
  Chi-Ren Shyu, Grant Scott, Matt Klaric, Curt Davis, and Kannappan Palaniappan. Automatic Object Extraction from Full Differential Morphological Profile in Urban Imagery for Efficient Object Indexing and Retrievals, in Proceedings of 3rd International Symposium Remote Sensing and Data Fusion Over Urban Areas (URBAN 2005), Tempe, Arizona, March 2005
  
  Matt Klaric, Grant Scott, Chi-Ren Shyu, and Curt Davis. Automated Object Extraction through Simplification of the Differential Morphological Profile for High-Resolution Satellite Imagery, in Proc. of International Geoscience and Remote Sensing Symposium, Seoul, Korea, July 2005; 1265-1268
  
  Chi-Ren Shyu, Matt Klaric, Grant Scott, and Wannapa Kay Mahamaneerat. Knowledge Discovery by Mining Association Rules and Temporal-Spatial Information from Large-Scale Geospatial Image Databases, in Proc. of International Geoscience and Remote Sensing Symposium, Denver, CO, July/August 2006
  
  Matt Klaric, Grant Scott, Chi-Ren Shyu, Curt Davis, and Kannappan Palaniappan. A Framework for Geospatial Satellite Imagery Retrieval Systems, in Proc. of International Geoscience and Remote Sensing Symposium, Denver, CO, July/August 2006
  
  Matt Klaric, Grant Scott, and Chi-Ren Shyu. Mining Visual Associations from User Feedback for Weighting Multiple Indexes in Geospatial Image Retrieval, in Proc. of International Geoscience and Remote Sensing Symposium, Denver, CO, July/August 2006
  
  B. C. Claywell, Curt Davis, and Chi-Ren Shyu. Fusion of Spectral and Spatial Information for Automated Change Detection in High Resolution Satellite Imagery, in Proc. of International Geoscience and Remote Sensing Symposium, Denver, CO, July/August 2006
  
  Chi-Ren Shyu, Adrian Barb, and Curt Davis. Mining image content associations for visual semantic modeling in geospatial information retrieval and indexing, in Proc. of International Geoscience and Remote Sensing Symposium, No. 5622 , July 2005
  
  Chi-Ren Shyu, Matt Klaric, Grant Scott, Adrian Barb, Curt Davis, and Kannappan Palaniappan. GeoIRIS: Geospatial Information Retrieval and Indexing System - Content Mining, Semantics Modeling, and Complex Queries, in IEEE Transactions on Geoscience and Remote Sensing, Special Issue on Image Mining, Vol. 45, No. 4 , April 2007; 839-852
  
  Adrian Barb, and Chi-Ren Shyu. User-Specific Semantics for Modeling Content-Based Information in Geospatial Knowledge, in IEEE International Geoscience and Remote Sensing Symposium, Barcelona, Spain, July 2007
  
  Adrian Barb, and Chi-Ren Shyu. Visual semantic modeling in content-based geospatial information retrieval using associative mining techniques, in Geoscience and Remote Sensing Letters 2009; (to appear)
  
  

back to full list