Paper
7 January 2004 Calibration of the University of Hawaii's airborne hyperspectral imager
Michael E. Winter, Paul G. Lucey, Tim Williams, Mark Wood
Author Affiliations +
Abstract
The University of Hawaii’s Airborne Hyperspectral Imager (AHI) consists of a long-wave infrared pushbroom hyperspectral imager and a boresighted 3-color visible high resolution CCD linescan camera. A new data system was added to the AHI in a recent upgrade of the sensor, resulting in the ability to collect data at full resolution in 256 spectral channels. This upgrade motivated the design of a new calibration procedure that removes image distortion and bad pixels from the produced imagery. The approach used is a novel method using a runtime-calculated transform. This transform describes the means of converting the distorted AHI focal plane into a corrected “virtual” AHI focal plane. The transform is formulated using several spatial-statistical assumptions as to the way information varies on the focal plane, and is based on geostatistical interpolation techniques. This transform removes the distortion present in the AHI imager and delivers high quality imagery.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Michael E. Winter, Paul G. Lucey, Tim Williams, and Mark Wood "Calibration of the University of Hawaii's airborne hyperspectral imager", Proc. SPIE 5159, Imaging Spectrometry IX, (7 January 2004); https://doi.org/10.1117/12.510198
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Calibration

Sensors

Imaging systems

Distortion

Hyperspectral imaging

Staring arrays

Black bodies

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