Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

On-board spectral calibration algorithm for an airborne hyperspectral imager and elimination of the effect of the atmospheric underlying surface

Not Accessible

Your library or personal account may give you access

Abstract

As an image-spectrum merging technology, the hyperspectral sensor has become an important part in remote sensing. The spectral calibration results of the hyperspectral sensor measured in the laboratory should be refined when applied to the on-board imaging spectrometer due to variations between the laboratory and actual flight environments. The larger the spectrum offset of the spectral response function (SRF), the worse the retrieval accuracy of the reflective characteristics of the targets. Therefore, an on-board spectral calibration algorithm based on standard diffuse boards with a gradient of reflectivity is proposed in this paper. By constructing the differential function of radiation transfer coefficients, the center wavelength offsets of SRF can be solved. In addition, a back-propagation neural network has been established to eliminate the effect of the atmospheric underlying surface and improve the accuracy of on-board spectral calibration. The three-sigma confidence interval of the on-board spectral precision is $ \pm 0.23\,\,{\rm nm}$ (uncertainty $ \lt {0.05}$ spectral pixels). The algorithm can be applied to a general hyperspectral sensor.

© 2019 Optical Society of America

Full Article  |  PDF Article
More Like This
Spectral calibration of hyperspectral imagery using atmospheric absorption features

Luis Guanter, Rudolf Richter, and José Moreno
Appl. Opt. 45(10) 2360-2370 (2006)

Performance assessment of onboard and scene-based methods for Airborne Prism Experiment spectral characterization

Petra D’Odorico, Luis Guanter, Michael E. Schaepman, and Daniel Schläpfer
Appl. Opt. 50(24) 4755-4764 (2011)

Atmospheric correction algorithm for hyperspectral remote sensing of ocean color from space

Bo-Cai Gao, Marcos J. Montes, Ziauddin Ahmad, and Curtiss O. Davis
Appl. Opt. 39(6) 887-896 (2000)

References

You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Figures (14)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Tables (1)

You do not have subscription access to this journal. Article tables are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Equations (4)

You do not have subscription access to this journal. Equations are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Metrics

Select as filters


Select Topics Cancel
© Copyright 2022 | Optica Publishing Group. All Rights Reserved