Spectrum Reconstruction Method for Airborne Temporally-Spatially Modulated Fourier Transform Imaging Spectrometers

• Published in: IEEE transactions on geoscience and remote sensing Vol. 52; no. 6; pp. 3720 - 3728
• Main Authors: Su, Lijuan, Yuan, Yan, Xiangli, Bin, Huang, Fengzhen, Cao, Jun, Li, Linyu, Zhou, Shubo
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.06.2014; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Aircraft; Algorithms; Computer simulation; Detectors; Direct georeferencing (DG); Fourier transform imaging spectrometer (FTIS); Fourier transforms; Image reconstruction; Imaging spectrometers; interferogram; Missions; motion estimation (ME); Platforms; Reconstruction; Reconstruction algorithms; Spectra; Spectrum analysis; spectrum reconstruction; Target tracking; Fourier transform imaging spectrometer (FTIS); spectrum reconstruction; Direct georeferencing (DG); interferogram; motion estimation (ME)
• ISSN: 0196-2892; 1558-0644
• DOI: 10.1109/TGRS.2013.2275174

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.