Benchmark Imagery for Assessing Geospatial Semantic Content Extraction Algorithms (Final Report)
- Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
- Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
Benchmark Imagery for Assessing Geospatial Semantic Content Extraction Algorithms (the “Benchmark Imagery Project”) was a three-year endeavor funded by the Enabling Capabilities (EC) Team of DOE/NNSA’s Office of Proliferation Detection R&D, NA-22, and carried out through a collaborative effort between Los Alamos National Laboratory (LANL) and the Lawrence Livermore National Laboratory (LLNL). The primary objective was to create a set of benchmark imagery for validating algorithms designed to extract semantic content from geospatial images of industrial facilities. The goal was not to develop algorithms; rather, it was to provide information that could be used to do so. The secondary objective was to demonstrate how this information could be used for algorithm validation. This report summarizes the results of the Benchmark Imagery Project.
- Research Organization:
- Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States); Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
- Sponsoring Organization:
- USDOE National Nuclear Security Administration (NNSA), Office of Nonproliferation and Verification Research and Development (NA-22)
- DOE Contract Number:
- W-7405-ENG-48; AC52-07NA27344; AC52-06NA25396
- OSTI ID:
- 1097770
- Report Number(s):
- LLNL--TR-645052; LL11-GS-PD3SE; LA11-GS-PD3SE
- Country of Publication:
- United States
- Language:
- English
Similar Records
Benchmark Imagery FY11 Technical Report
Data Structures and Algorithms for Graph Based Remote Sensed Image Content Storage and Retrieval