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Sensors 2013, 13(10), 13879-13891; doi:10.3390/s131013879

A Fast Smoothing Algorithm for Post-Processing of Surface Reflectance Spectra Retrieved from Airborne Imaging Spectrometer Data

Remote Sensing Division, Code 7232, Naval Research Laboratory, Washington, DC 20375, USA
Software Branch, Field System Operation Center, NOAA, Silver Spring, MD 20910, USA
Author to whom correspondence should be addressed.
Received: 20 August 2013 / Revised: 26 September 2013 / Accepted: 29 September 2013 / Published: 14 October 2013
(This article belongs to the Special Issue Spectral Imaging at the Microscale and Beyond)
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Surface reflectance spectra retrieved from remotely sensed hyperspectral imaging data using radiative transfer models often contain residual atmospheric absorption and scattering effects. The reflectance spectra may also contain minor artifacts due to errors in radiometric and spectral calibrations. We have developed a fast smoothing technique for post-processing of retrieved surface reflectance spectra. In the present spectral smoothing technique, model-derived reflectance spectra are first fit using moving filters derived with a cubic spline smoothing algorithm. A common gain curve, which contains minor artifacts in the model-derived reflectance spectra, is then derived. This gain curve is finally applied to all of the reflectance spectra in a scene to obtain the spectrally smoothed surface reflectance spectra. Results from analysis of hyperspectral imaging data collected with the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) data are given. Comparisons between the smoothed spectra and those derived with the empirical line method are also presented.
Keywords: remote sensing; sensors; spectroscopy; smoothing; surface reflectance remote sensing; sensors; spectroscopy; smoothing; surface reflectance
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Gao, B.-C.; Liu, M. A Fast Smoothing Algorithm for Post-Processing of Surface Reflectance Spectra Retrieved from Airborne Imaging Spectrometer Data. Sensors 2013, 13, 13879-13891.

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