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Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
Published on: August 30, 2013
Building morphologies of the USA structures database; a gauntlet feature set.
Taylor Hauser1, Clinton Stipek2, Nagendra Singh2
1Oak Ridge National Laboratory, Geospatial Science and Human Security Division, Oak Ridge, USA. hausertr@ornl.gov.
This study introduces 65 geometric features for over 131 million US buildings extracted from satellite imagery. This rich dataset offers new insights into building characteristics beyond location and shape.
Area of Science:
- Geospatial analysis
- Remote sensing
- Urban informatics
Background:
- Satellite imagery enables building footprint extraction, but characterization beyond spatial data is limited.
- Understanding the built environment requires detailed building attributes for research and policy.
Purpose of the Study:
- To develop a comprehensive set of geometric features for buildings from satellite data.
- To enable deeper analysis of building characteristics and the built environment.
Main Methods:
- Extraction of building footprints from satellite imagery.
- Development of 65 unique geometric features for each building.
- Application to over 131 million buildings across the United States.
Main Results:
- A dataset of 65 features for over 131 million US buildings has been created.
- The features capture detailed geometric information beyond basic footprint data.
- The dataset facilitates derivation of characteristics like height and occupancy type.
Conclusions:
- Geometric features derived from satellite imagery significantly enhance building characterization.
- This rich dataset provides valuable insights for researchers, policymakers, and urban planners.
- Enables new avenues for understanding and managing the built environment.
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