Hyperspectral Image-Based Broad Area Search (HIBAS) Final Report Summary
Two of the more important tasks faced by image analysts are broad area search and site monitoring. In each case, the objective is to detect occurrences of targets of interest (e.g., buildings, mobile targets of military significance, etc.). In broad area search, large swaths of countryside are imaged. In site monitoring, a number of smaller areas of interest are imaged multiple times. The crisis currently facing image analysts lies in their inability to analyze massive volumes of remotely sensed imagery in a time critical fashion. The problem has become more critical with technological advances that have enabled images of increasing size, resolution and dimensionality (such as monochrome images at higher spatial resolution--e.g., Digital Globe imagery--and hyperspectral images at higher spectral resolution) to be rapidly acquired.
- Research Organization:
- Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
- Sponsoring Organization:
- US Department of Energy (US)
- DOE Contract Number:
- W-7405-ENG-48
- OSTI ID:
- 15004872
- Report Number(s):
- UCRL-ID-151403; TRN: US200321%%375
- Resource Relation:
- Other Information: PBD: 7 Jan 2003
- Country of Publication:
- United States
- Language:
- English
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