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
OSA Recommended Articles
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)

Land surface reflectance retrieval from optical hyperspectral data collected with an unmanned aerial vehicle platform

Yao-Kai Liu, Chuan-Rong Li, Ling-Ling Ma, Yong-Gang Qian, Ning Wang, Cai-Xia Gao, and Ling-Li Tang
Opt. Express 27(5) 7174-7195 (2019)

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 OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA 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 OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA 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 OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA 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 OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA 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 OSA member, or as an authorized user of your institution.

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

Metrics

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

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