Comparison of Hyperspectral Imagery Target Detection Algorithm Chains
ROCHESTER INST OF TECH NY CHESTER F CARLSON CENTER FOR IMAGING SCIENCE
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Detection of a known target in an image has several different approaches. The complexity and number of steps involved in the target detection process makes a comparison of the different possible algorithm chains desirable. Of the different steps involved, some have a more significant impact than others on the final result - the ability to find a target in an image. These more important steps often include atmospheric compensation, noise and dimensionality reduction, background characterization, and detection matched filtering for this research. A brief overview of the algorithms to be compared for each step will be presented.
- Target Direction, Range and Position Finding
- Atomic and Molecular Physics and Spectroscopy