Spectral Calibration of Hyperspectral Data Observed From a Hyperspectrometer Loaded on an Unmanned Aerial Vehicle Platform

Hyperspectral imaging has been widely applied in remote sensing scientific fields. For this study, hyperspectral imaging data covering the spectral region from 400 to 1000 nm were collected from an unmanned aerial vehicle visible/near-infrared imaging hyperspectrometer (UAV-VNIRIS). Theoretically, the spectral calibration parameters of the UAV-VNIRIS measured in the laboratory should be refined when applied to the hyperspectral data obtained from the UAV platform due to variations between the laboratory and actual flight environments. Therefore, accurate spectral calibration of the UAV-VNIRIS is essential to further applications of the hyperspectral data. Shifts in both the spectral center wavelength position and the full-width at half-maximum (FWHM) were retrieved using two different methods (Methods I and II) based on spectrum matching of atmospheric absorption features at oxygen bands near 760 nm and water vapor bands near 820 and 940 nm. Comparison of the spectral calibration results of these two methods over the calibration targets showed that the derived center wavelength and FWHM shifts are similar. For the UAV-VNIRIS observed data used here, the shifts in center wavelength derived from both Methods I and II over the three absorption bands are less than 0.13 nm, and less than 0.22 nm in terms of FWHM. The findings of this paper revealed: 1) the UAV-VNIRIS payload on the UAV platform performed well in terms of spectral calibration; and 2) the applied methods are effective for on-orbit spectral calibration of the hyper spectrometer.

[1]  Gail P. Anderson,et al.  Analysis of Hyperion data with the FLAASH atmospheric correction algorithm , 2003, IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477).

[2]  L. Guanter,et al.  Spectral calibration of hyperspectral imagery using atmospheric absorption features. , 2006, Applied optics.

[3]  B. Markham,et al.  Radiometric Calibration of Landsat , 1997 .

[4]  Marcos J. Montes,et al.  Refinement of wavelength calibrations of hyperspectral imaging data using a spectrum-matching technique , 2004 .

[5]  Hongliang Fang,et al.  Atmospheric correction of Landsat ETM+ land surface imagery: Part I: Methods , 2001 .

[6]  Xiaoxiong Xiong,et al.  Absolute Radiometric Calibration of Landsat Using a Pseudo Invariant Calibration Site , 2013, IEEE Transactions on Geoscience and Remote Sensing.

[7]  L. Guanter,et al.  Spectral calibration and atmospheric correction of ultra-fine spectral and spatial resolution remote sensing data. Application to CASI-1500 data , 2007 .

[8]  Juergen Fischer,et al.  MERIS in‐flight spectral calibration , 2006 .

[9]  P Mouroulis,et al.  Design of pushbroom imaging spectrometers for optimum recovery of spectroscopic and spatial information. , 2000, Applied optics.

[10]  Robert O. Green,et al.  On-orbit radiometric and spectral calibration characteristics of EO-1 Hyperion derived with an underflight of AVIRIS and in situ measurements at Salar de Arizaro, Argentina , 2003, IEEE Trans. Geosci. Remote. Sens..

[11]  Guangjian Yan,et al.  Improved Methods for Spectral Calibration of On-Orbit Imaging Spectrometers , 2010, IEEE Transactions on Geoscience and Remote Sensing.

[12]  Benjamin M. Herman,et al.  WATER VAPOR MEASUREMENTS IN THE 0. 94 MICRON ABSORPTION BAND: CALIBRATION, MEASUREMENTS AND DATA APPLICATIONS. , 1987 .

[13]  Anthony J. Ratkowski,et al.  MODTRAN4: radiative transfer modeling for remote sensing , 1999, Remote Sensing.

[14]  K. B. Heidebrecht,et al.  Assessing the Quality of the Radiometric and Spectral Calibration of casi Data and Retrieval of Surface Reflectance Factors , 2000 .

[15]  F. Muller‐Karger,et al.  AVIRIS calibration and application in coastal oceanic environments - Tracers of soluble and particulate constituents of the Tampa Bay coastal plume , 1993 .

[16]  Wei Chen,et al.  Ocean PHILLS hyperspectral imager: design, characterization, and calibration. , 2002, Optics express.

[17]  R. Green,et al.  Spectral calibration requirement for Earth-looking imaging spectrometers in the solar-reflected spectrum. , 1998, Applied optics.

[18]  Fred A. Kruse,et al.  The Spectral Image Processing System (SIPS) - Interactive visualization and analysis of imaging spectrometer data , 1993 .

[19]  郑玉权 Zheng Yu-quan,et al.  Spectral Calibration of The Hyperspectral Optical Remote Sensor , 2013 .

[20]  Hongliang Fang,et al.  Atmospheric correction of Landsat ETM+ land surface imagery. I. Methods , 2001, IEEE Trans. Geosci. Remote. Sens..

[21]  Alexander F. H. Goetz,et al.  HIGH-ACCURACY ATMOSPHERE CORRECTION FOR HYPERSPECTRAL DATA ( HATCH ) , 2000 .

[22]  William H. Press,et al.  Numerical recipes in C. The art of scientific computing , 1987 .

[23]  Robert O. Green Determination of the in-flight spectral calibration of AVIRIS using atmospheric absorption features , 1995 .

[24]  Michael Frankfurter,et al.  Numerical Recipes In C The Art Of Scientific Computing , 2016 .