Calibration and data restoration of light field modulated imaging spectrometer
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摘要
A light field modulated imaging spectrometer(LFMIS) can acquire the spatial-spectral datacube of targets of interest or a scene in a single shot. The spectral information of a point target is imaged on the pixels covered by a microlens.The pixels receive spectral information from different spectral filters to the diffraction and misalignments of the optical components. In this paper, we present a linear spectral multiplexing model of the acquired target spectrum. A calibration method is proposed for calibrating the center wavelengths and bandwidths of channels of an LFMIS system based on the liner-variable filter(LVF) and for determining the spectral multiplexing matrix. In order to improve the accuracy of the restored spectral data, we introduce a reconstruction algorithm based on the total least square(TLS) approach. Simulation and experimental results confirm the performance of the spectrum reconstruction algorithm and validate the feasibility of the proposed calibrating scheme.
A light field modulated imaging spectrometer(LFMIS) can acquire the spatial-spectral datacube of targets of interest or a scene in a single shot. The spectral information of a point target is imaged on the pixels covered by a microlens.The pixels receive spectral information from different spectral filters to the diffraction and misalignments of the optical components. In this paper, we present a linear spectral multiplexing model of the acquired target spectrum. A calibration method is proposed for calibrating the center wavelengths and bandwidths of channels of an LFMIS system based on the liner-variable filter(LVF) and for determining the spectral multiplexing matrix. In order to improve the accuracy of the restored spectral data, we introduce a reconstruction algorithm based on the total least square(TLS) approach. Simulation and experimental results confirm the performance of the spectrum reconstruction algorithm and validate the feasibility of the proposed calibrating scheme.
A light field modulated imaging spectrometer(LFMIS) can acquire the spatial-spectral datacube of targets of interest or a scene in a single shot. The spectral information of a point target is imaged on the pixels covered by a microlens.The pixels receive spectral information from different spectral filters to the diffraction and misalignments of the optical components. In this paper, we present a linear spectral multiplexing model of the acquired target spectrum. A calibration method is proposed for calibrating the center wavelengths and bandwidths of channels of an LFMIS system based on the liner-variable filter(LVF) and for determining the spectral multiplexing matrix. In order to improve the accuracy of the restored spectral data, we introduce a reconstruction algorithm based on the total least square(TLS) approach. Simulation and experimental results confirm the performance of the spectrum reconstruction algorithm and validate the feasibility of the proposed calibrating scheme.
引文
[1]Li S P,Wang L Y,Yan B,Li L and Liu Y J 2012 Chin.Phys.B 21108703
[2]Zhang H M,Wang L Y,Yan B,Li L,Xi X Q and Lu L Z 2013 Chin.Phys.B 22 078701
[3]Yu K and Hu C M 2013 J.Appl.Rem.Sens 7 073589
[4]Clark R N,King T V V,Klejwa M,Swayze G A and Vergo N 1990 J.Geophys.Res.95 12653
[5]Smith W L,Zhou D K,Harrison F W,Revercomb H E,Larar A M,Huang H L and Huang B 2001 Proc.SPIE 4151 94
[6]Green R O,Eastwood M L,Sature C M,Chrien T G,Aronsson M,Chippendale B J,Faust J A,Pavri B E,Chovit C J,Solic M,Olah M R and Willaims O 1998 Remote Sens.Environ.65 227
[7]Gupta H 2008 Proc.SPIE 6940 69401P
[8]Antila J,Mannila R,Kantojarvi U,Rissanen A and Saari H 2012 Proc.SPIE 8374 83740F
[9]Hagen N and Kudenov M W 2013 Opt.Eng.52 090901
[10]Descour M and Dereniak E L 1995 Appl.Opt.34 4817
[11]Hagen N and Dereniak E L 2008 Appl.Opt.47 F85
[12]Gorman A Fletcher-Holmes D W and Harvey A R 2010 Opt.Express18 5602
[13]Wong G,Pilkington R and Harvey A R 2011 Opt.Lett.36 1332
[14]Gao L,Kester R T and Tkaczyk T S 2009 Opt.Express 17 12293
[15]Kester R T,Bedard N,Gao L and Tkaczyk T S 2011 J.Biomed.Opt.16 056005
[16]Yuan Y,Ding X M,Su L J and Wang W Y 2017 Chin.Phys.B 26040701
[17]Gehm M E,John R,Brady D J,Willett R M and Schulz T J 2007 Opt.Express 15 14013
[18]Arce G R,Brady D J,Carin L,Arguello H and Kittle D S 2014 IEEE Signal Process.Mag.31 105
[19]Qian L L,LuQ B,Huang M and Xiangli B 2015 Chin.Phys.B 24080703
[20]Liu Y Y,L uQ B,Wu G Pei L L and Wang J W 2015 Acta Phys.Sin.65 054205(in Chinese)
[21]Kudenov M,Jungwirth M,Dereniak E and Gerhart G 2010 Opt.Express 18 5602
[22]Horstmeyer R,Euliss G,Athale R and Levoy M 2009 Proceeding of the IEEE International Conference on Computational Photography,April16–17,2009,San Francisco,USA,p.1
[23]Cavanaugh D B,Lorenz J M,Unwin N and Dombrowski M 2009 Proc.SPIE 7457 74570O
[24]Meng L and Berkner K 2013 Proc.SPIE 8660 86600D
[25]Su L J,Zhou Z L,Yuan Y,Hu L and Zhang S Y 2015 Optik 126 877
[26]Gao L and Wang L V 2016 Phys.Rep.616 1
[27]Hu L,Yuan Y,Su L J,Huang M and Li Y 2017 Opt.Cummun.12 405
[28]Golub G H and Loan C F V 1980 Siam J.Numer.Anal.17 883
[29]Wei M S 1992 Numer.Math.62 123
[30]Qian S and Chen G 2012 IEEE T Geosci.Remote.50 5033
[2]Zhang H M,Wang L Y,Yan B,Li L,Xi X Q and Lu L Z 2013 Chin.Phys.B 22 078701
[3]Yu K and Hu C M 2013 J.Appl.Rem.Sens 7 073589
[4]Clark R N,King T V V,Klejwa M,Swayze G A and Vergo N 1990 J.Geophys.Res.95 12653
[5]Smith W L,Zhou D K,Harrison F W,Revercomb H E,Larar A M,Huang H L and Huang B 2001 Proc.SPIE 4151 94
[6]Green R O,Eastwood M L,Sature C M,Chrien T G,Aronsson M,Chippendale B J,Faust J A,Pavri B E,Chovit C J,Solic M,Olah M R and Willaims O 1998 Remote Sens.Environ.65 227
[7]Gupta H 2008 Proc.SPIE 6940 69401P
[8]Antila J,Mannila R,Kantojarvi U,Rissanen A and Saari H 2012 Proc.SPIE 8374 83740F
[9]Hagen N and Kudenov M W 2013 Opt.Eng.52 090901
[10]Descour M and Dereniak E L 1995 Appl.Opt.34 4817
[11]Hagen N and Dereniak E L 2008 Appl.Opt.47 F85
[12]Gorman A Fletcher-Holmes D W and Harvey A R 2010 Opt.Express18 5602
[13]Wong G,Pilkington R and Harvey A R 2011 Opt.Lett.36 1332
[14]Gao L,Kester R T and Tkaczyk T S 2009 Opt.Express 17 12293
[15]Kester R T,Bedard N,Gao L and Tkaczyk T S 2011 J.Biomed.Opt.16 056005
[16]Yuan Y,Ding X M,Su L J and Wang W Y 2017 Chin.Phys.B 26040701
[17]Gehm M E,John R,Brady D J,Willett R M and Schulz T J 2007 Opt.Express 15 14013
[18]Arce G R,Brady D J,Carin L,Arguello H and Kittle D S 2014 IEEE Signal Process.Mag.31 105
[19]Qian L L,LuQ B,Huang M and Xiangli B 2015 Chin.Phys.B 24080703
[20]Liu Y Y,L uQ B,Wu G Pei L L and Wang J W 2015 Acta Phys.Sin.65 054205(in Chinese)
[21]Kudenov M,Jungwirth M,Dereniak E and Gerhart G 2010 Opt.Express 18 5602
[22]Horstmeyer R,Euliss G,Athale R and Levoy M 2009 Proceeding of the IEEE International Conference on Computational Photography,April16–17,2009,San Francisco,USA,p.1
[23]Cavanaugh D B,Lorenz J M,Unwin N and Dombrowski M 2009 Proc.SPIE 7457 74570O
[24]Meng L and Berkner K 2013 Proc.SPIE 8660 86600D
[25]Su L J,Zhou Z L,Yuan Y,Hu L and Zhang S Y 2015 Optik 126 877
[26]Gao L and Wang L V 2016 Phys.Rep.616 1
[27]Hu L,Yuan Y,Su L J,Huang M and Li Y 2017 Opt.Cummun.12 405
[28]Golub G H and Loan C F V 1980 Siam J.Numer.Anal.17 883
[29]Wei M S 1992 Numer.Math.62 123
[30]Qian S and Chen G 2012 IEEE T Geosci.Remote.50 5033