Benchmark Imagery for Assessing Geospatial Semantic Content Extraction Algorithms -- Annual Report for FY2012
- Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
The primary objective of this project is to create a set of benchmark imagery for validating algorithms designed to extract semantic content from geospatial images of industrial facilities. The goal is not to develop algorithms but to provide images that can be used to do so. The secondary objective is to demonstrate how this imagery could be used for algorithm validation. The project is a collaborative effort between Los Alamos National Laboratory (LANL) and the Lawrence Livermore National Laboratory (LLNL).
- Research Organization:
- Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- W-7405-ENG-48
- OSTI ID:
- 1062220
- Report Number(s):
- LLNL-TR--609988
- Country of Publication:
- United States
- Language:
- English
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