KEYWORDS: Reflectivity, Sensors, Target detection, Calibration, Space operations, Single mode fibers, Process modeling, Atmospheric modeling, Hyperspectral target detection, Data modeling
This work investigates target detection using simulated hyperspectral imagery captured from highly oblique angles.
This paper seeks to determine which domain, radiance or reflectance, is more appropriate for the off-nadir case. An
oblique atmospheric compensation technique based on the empirical line method (ELM) is presented and used to
compensate the simulated data used in this study. The resulting reflectance cubes are subjected to a variety of standard
target detection processes. A forward modeling technique that is appropriate for use on oblique hyperspectral data is also
presented. This forward modeling process allows for standard target detection techniques to be applied in the radiance
domain.
Results obtained from the radiance and reflectance domains are comparable. Under ideal circumstances, however,
the radiance domain results are slightly better than the results observed in the reflectance domain. These somewhat
favorable results for the radiance domain, considered with the practicality and potential operational applicability of the
forward modeling technique presented, suggest that the radiance domain is an attractive option for oblique hyperspectral
target detection.
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