Reconstruction of irregularly sampled interferograms in Fourier transform spectrometry with unknown sampling locations

作     者：Tian, JL 

作者机构：NASA Langley Res Ctr Sci Appl Int Corp Hampton VA 23681 USA Georgia Inst Technol Sch Elect & Comp Engn Atlanta GA 30332 USA 

出 版 物：《OPTICAL ENGINEERING》 (光学工程)

年 卷 期：2005年第44卷第4期

页      面：048201-1-048201页

核心收录：

学科分类：08[工学] 080401[工学-精密仪器及机械] 0804[工学-仪器科学与技术] 081102[工学-检测技术与自动化装置] 0811[工学-控制科学与工程] 0702[理学-物理学] 

主　　题：Fourier transform spectrometry spectrometer interferograms nonuniform sampling irregular sampling reconstruction evolutionary algorithms 

摘      要：We propose an algorithm for reconstructing nonuniformly sampled interferograms when sampling locations are unknown. An optimization problem with multiple objective and constraint functions is designed based on the spatial and spectral characteristics of the data measurement. This problem is solved using an evolutionary approach, in which potential solutions are competing to be the fittest individual in a simulated natural environment. (c) 2005 Society of Photo-Optical Instrumentation Engineers.