Constraint-Based Integration of Geospatial and Online Sources

Abstract

In this research project, we developed a constraint-based approach to integrating traditional and non-traditional online geographic data sources. There were three areas where we made significant advances. First, we developed a constraint satisfaction framework to integrate data sources for the labeling of buildings in satellite imagery. Second, we developed an automatic approach for the integration of maps, vector data, and high-resolution satellite imagery. Third, we developed an approach to automatically extract the road network and the textual labels from a raster map.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 10, 2007
Accession Number
ADA472916

Entities

People

  • Craig Knoblock

Organizations

  • University of Southern California

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Artificial Satellites
  • Automatic
  • Computer Programming
  • Data Integration
  • Data Management
  • Detection
  • Geographic Information Systems
  • High Resolution
  • Identification
  • Image Processing
  • Information Science
  • Information Systems
  • Pattern Recognition
  • Recognition
  • Satellite Imaging
  • Supervised Machine Learning

Readers

  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Distributed Systems and Data Platform Development
  • Geospatial Intelligence and Artificial Intelligence Analytics

Technology Areas

  • Space