DocumentCode :
81079
Title :
Spectrum Reconstruction Method for Airborne Temporally–Spatially Modulated Fourier Transform Imaging Spectrometers
Author :
Lijuan Su ; Yan Yuan ; Bin Xiangli ; Fengzhen Huang ; Jun Cao ; Linyu Li ; Shubo Zhou
Author_Institution :
Key Lab. of Precision Opto-Mechatron. Technol. of Minist. of Educ., Beihang Univ., Beijing, China
Volume :
52
Issue :
6
fYear :
2014
fDate :
Jun-14
Firstpage :
3720
Lastpage :
3728
Abstract :
Temporally-spatially modulated Fourier transform imaging spectrometers (TSMFTISs) have no internal moving parts and have high throughput advantages. In recent years, TSMFTISs have become a research and development focus for spaceborne missions. However, the applications of TSMFTISs for airborne missions are limited because the conventional spectrum reconstruction algorithm requires high stability of the platform during the pushbroom process. To overcome this limitation, we propose a target-tracking-based spectrum reconstruction method for airborne TSMFTISs. The direct georeferencing and motion estimation methods are incorporated for target tracking. The principle of TSMFTIS is presented to discuss the limitation of the traditional spectrum reconstruction method. A simulation based on the proposed scheme was performed to provide preliminary spectrum reconstruction results for the airborne TSMFTIS. The reconstructed spectra have much better agreement with the ideal spectrum than the traditional algorithm does.
Keywords :
Fourier transform spectrometers; remote sensing; airborne missions; airborne temporally-spatially modulated Fourier transform imaging spectrometers; conventional spectrum reconstruction algorithm; pushbroom process; spaceborne missions; spectrum reconstruction method; target-tracking-based spectrum reconstruction method; traditional spectrum reconstruction method; Aircraft; Detectors; Fourier transforms; Image reconstruction; Reconstruction algorithms; Target tracking; Direct georeferencing (DG); Fourier transform imaging spectrometer (FTIS); interferogram; motion estimation (ME); spectrum reconstruction;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/TGRS.2013.2275174
Filename :
6578167
Link To Document :
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