Data processing and temperature-emissivity separation for tower-based imaging Fourier transform spectrometer data

Abstract

In this article we describe the end-to-end processing of image Fourier transform spectrometry data taken at Picatinny Arsenal in New Jersey with the long-wave hyperspectral camera manufactured by the Telops company. The first part of the article discusses the processing from raw data to calibrated radiance and emissivity data. Data were taken during several months under different weather conditions every 6 min from a 213 ft-high tower of surrogate tank targets for a project sponsored by the Army Research Laboratory in Adelphi, Maryland. The second part discusses environmental effects such as diurnal and seasonal atmospheric and temperature changes and the effect of cloud cover on the data. To test the effect of environmental conditions, a range-invariant anomaly detection approach is applied to calibrate radiance, brightness temperature, and emissivity data. The data set presented in this article is due to be released publicly so that more detailed studies can be performed not only on the man-made targets but also on the changes of natural background of vegetation and gravel with time of day and seasons.