Geometric correction of synchronous scanned Operational Modular Imaging Spectrometer II hyperspectral remote sensing images using spatial positioning data of an inertial navigation system

Xiaohu Zhou; Franz Neubauer; Dong Zhao; Shichao Xu

doi:10.1117/1.JRS.9.096078

27 February 2015 Geometric correction of synchronous scanned Operational Modular Imaging Spectrometer II hyperspectral remote sensing images using spatial positioning data of an inertial navigation system

Xiaohu Zhou, Franz Neubauer, Dong Zhao, Shichao Xu

Author Affiliations +

Funded by: National Natural Science Foundation of China, Changjiang Scholars and Innovative Research Team in University, Natural Science Foundation of Shaanxi Province, State Key Laboratory of Continental Dynamics Foundation

Journal of Applied Remote Sensing, Vol. 9, Issue 1, 096078 (February 2015). https://doi.org/10.1117/1.JRS.9.096078

Abstract

The high-precision geometric correction of airborne hyperspectral remote sensing image processing was a hard nut to crack, and conventional methods of remote sensing image processing by selecting ground control points to correct the images are not suitable in the correction process of airborne hyperspectral image. The optical scanning system of an inertial measurement unit combined with differential global positioning system (IMU/DGPS) is introduced to correct the synchronous scanned Operational Modular Imaging Spectrometer II (OMIS II) hyperspectral remote sensing images. Posture parameters, which were synchronized with the OMIS II, were first obtained from the IMU/DGPS. Second, coordinate conversion and flight attitude parameters’ calculations were conducted. Third, according to the imaging principle of OMIS II, mathematical correction was applied and the corrected image pixels were resampled. Then, better image processing results were achieved.

Citation Download Citation

Xiaohu Zhou, Franz Neubauer, Dong Zhao, and Shichao Xu "Geometric correction of synchronous scanned Operational Modular Imaging Spectrometer II hyperspectral remote sensing images using spatial positioning data of an inertial navigation system," Journal of Applied Remote Sensing 9(1), 096078 (27 February 2015). https://doi.org/10.1117/1.JRS.9.096078

Published: 27 February 2015

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