Paper
15 October 2012 Range-invariant anomaly detection applied to imaging Fourier transform spectrometry data
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Abstract
This paper describes the end-to-end processing of image Fourier transform spectrometry data taken of surrogate tank targets at Picatinny Arsenal in New Jersey with the long-wave hyper-spectral camera HyperCam from Telops. The first part of the paper discusses the processing from raw data to calibrated radiance and emissivity data. The second part discusses the application of a range-invariant anomaly detection approach to calibrated radiance, emissivity and brightness temperature data for different spatial resolutions and compares it to the Reed-Xiaoli detector.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Christoph Borel, Dalton Rosario, and Joao Romano "Range-invariant anomaly detection applied to imaging Fourier transform spectrometry data", Proc. SPIE 8515, Imaging Spectrometry XVII, 85150J (15 October 2012); https://doi.org/10.1117/12.930177
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Cited by 5 scholarly publications.
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KEYWORDS
Calibration

Sensors

Black bodies

Fourier transforms

Detection and tracking algorithms

Spectroscopy

Algorithm development

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