Radiometric and spectral stray light correction for the portable remote imaging spectrometer (PRISM) coastal ocean sensor

Justin M. Haag; Byron E. Van Gorp; Pantazis Mouroulis; David R. Thompson

doi:10.1117/12.2272746

5 September 2017 Radiometric and spectral stray light correction for the portable remote imaging spectrometer (PRISM) coastal ocean sensor

Justin M. Haag, Byron E. Van Gorp, Pantazis Mouroulis, David R. Thompson

Author Affiliations +

Proceedings Volume 10402, Earth Observing Systems XXII; 104020E (2017) https://doi.org/10.1117/12.2272746
Event: SPIE Optical Engineering + Applications, 2017, San Diego, California, United States

Abstract

The airborne Portable Remote Imaging Spectrometer (PRISM) instrument is based on a fast (F/1.8) Dyson spectrometer operating at 350-1050 nm and a two-mirror telescope combined with a Teledyne HyViSI 6604A detector array. Raw PRISM data contain electronic and optical artifacts that must be removed prior to radiometric calibration. We provide an overview of the process transforming raw digital numbers to calibrated radiance values. Electronic panel artifacts are first corrected using empirical relationships developed from laboratory data. The instrument spectral response functions (SRF) are reconstructed using a measurement-based optimization technique. Removal of SRF effects from the data improves retrieval of true spectra, particularly in the typically low-signal near-ultraviolet and near-infrared regions. As a final step, radiometric calibration is performed using corrected measurements of an object of known radiance. Implementation of the complete calibration procedure maximizes data quality in preparation for subsequent processing steps, such as atmospheric removal and spectral signature classification.

Citation Download Citation

Justin M. Haag, Byron E. Van Gorp, Pantazis Mouroulis, and David R. Thompson "Radiometric and spectral stray light correction for the portable remote imaging spectrometer (PRISM) coastal ocean sensor", Proc. SPIE 10402, Earth Observing Systems XXII, 104020E (5 September 2017); https://doi.org/10.1117/12.2272746

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