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Journal of Applied Remote Sensing

Data correction techniques for the airborne large-aperture static image spectrometer based on image registration
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Paper Abstract

We propose an approach to correct the data of the airborne large-aperture static image spectrometer (LASIS). LASIS is a kind of stationary interferometer which compromises flux output and device stability. It acquires a series of interferograms to reconstruct the hyperspectral image cube. Reconstruction precision of the airborne LASIS data suffers from the instability of the plane platform. Usually, changes of plane attitudes, such as yaws, pitches, and rolls, can be precisely measured by the inertial measurement unit. However, the along-track and across-track translation errors are difficult to measure precisely. To solve this problem, we propose a co-optimization approach to compute the translation errors between the interferograms using an image registration technique which helps to correct the interferograms with subpixel precision. To demonstrate the effectiveness of our approach, experiments are run on real airborne LASIS data and our results are compared with those of the state-of-the-art approaches.

Paper Details

Date Published: 9 March 2015
PDF: 13 pages
J. Appl. Remote Sens. 9(1) 095088 doi: 10.1117/1.JRS.9.095088
Published in: Journal of Applied Remote Sensing Volume 9, Issue 1
Show Author Affiliations
Geng Zhang, Xi'an Institute of Optics and Precision Mechanics (China)
Dalian Shi, Xi’an Institute of Optics and Precision Mechanics (China)
Shuang Wang, Xi'an Institute of Optics and Precision Mechanics (China)
Tao Yu, Xi'an Institute of Optics and Precision Mechanics (China)
Bingliang Hu, Xi'an Institute of Optics and Precision Mechanics (China)


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