Analysis of static and time-varying polarization errors in the multiangle spectropolarimetric imager.

Multiangle Spectropolarimetric Imager (MSPI) sensitivity to static and time-varying polarization errors is examined. For a system without noise, static polarization errors are accurately represented by the calibration coefficients, and therefore do not impede correct mapping of measured to input Stokes vectors. But noise is invariably introduced during the detection process, and static polarization errors reduce the system's signal-to-noise ratio (SNR) by increasing noise sensitivity. Noise sensitivity is minimized by minimizing the condition number of the system data reduction matrix [Appl. Opt.41, 619 (2002)]. The sensitivity of condition numbers to static polarization errors is presented. The condition number of the nominal MSPI data reduction matrix is approximately 1.1 or less for all fields. The increase in the condition number above 1 results primarily from a quarter wave plate and mirror coating retardance magnitude errors. Sensitivity of the degree of linear polarization (DoLP) error with respect to time-varying diattenuation and retardance error was used to set a time-varying diattenuation magnitude tolerance of 0.005 and a time-varying retardance magnitude tolerance of ±0.2°. A Monte Carlo simulation of the calibration and measurements using anticipated static and time-varying errors indicates that MSPI has a probability of 0.9 of meeting its 0.005 DoLP uncertainty requirement.

[1]  M. Mishchenko,et al.  Retrieval of aerosol properties over the ocean using multispectral and multiangle Photopolarimetric measurements from the Research Scanning Polarimeter , 2001 .

[2]  Russell Chipman,et al.  Dielectric tensor measurement from a single Mueller matrix image. , 2007, Journal of The Optical Society of America A-optics Image Science and Vision.

[3]  B. Holben,et al.  Validation of MODIS aerosol optical depth retrieval over land , 2002 .

[4]  Brian Cairns,et al.  Dual-photoelastic-modulator-based polarimetric imaging concept for aerosol remote sensing. , 2007, Applied optics.

[5]  Russell A. Chipman,et al.  An integrated multiangle, multispectral, and polarimetric imaging concept for aerosol remote sensing from space , 2005, SPIE Asia-Pacific Remote Sensing.

[6]  Kathleen A. Crean,et al.  Multiangle imaging spectroradiometer (MISR) global aerosol optical depth validation based on 2 years of coincident Aerosol Robotic Network (AERONET) observations : Global aerosol system , 2005 .

[7]  Kathleen A. Crean,et al.  Regional aerosol retrieval results from MISR , 2002, IEEE Trans. Geosci. Remote. Sens..

[8]  Anna-Britt Mahler,et al.  Minimizing instrumental polarization in the Multiangle SpectroPolarmetric Imager (MSPI) using diattenuation balancing between the three mirror coatings , 2008, Astronomical Telescopes + Instrumentation.

[9]  Paul Ginoux,et al.  A Long-Term Record of Aerosol Optical Depth from TOMS Observations and Comparison to AERONET Measurements , 2002 .

[10]  Russell Chipman,et al.  Achromatic athermalized retarder fabrication. , 2011, Applied optics.

[11]  Peter R. J. North,et al.  Retrieval of land surface bidirectional reflectance and aerosol opacity from ATSR-2 multiangle imagery , 1999, IEEE Trans. Geosci. Remote. Sens..

[12]  Russell A. Chipman,et al.  Tolerancing and alignment of a three-mirror off-axis telescope , 2007, SPIE Optical Engineering + Applications.

[13]  J. Tyo Design of optimal polarimeters: maximization of signal-to-noise ratio and minimization of systematic error. , 2002, Applied optics.

[14]  Russell A. Chipman,et al.  Linear polarization sensitivity specifications for spaceborne instruments , 1992, Optics & Photonics.

[15]  J. Hansen,et al.  Accurate monitoring of terrestrial aerosols and total solar irradiance: Introducing the Glory mission , 2007 .

[16]  Brian Cairns,et al.  Case Studies of Aerosol Retrievals over the Ocean from Multiangle, Multispectral Photopolarimetric Remote Sensing Data , 2002 .

[17]  Ab Davis,et al.  First results from a dual photoelastic-modulator-based polarimetric camera. , 2010, Applied optics.

[18]  B. Holben,et al.  Validation of MODIS aerosol retrieval over ocean , 2002 .

[19]  E. Möbius,et al.  Charge states of energetic (≈0.5 MeV/n) ions in corotating interaction regions at 1 AU and implications on source populations , 2002 .

[20]  Gerrit de Leeuw,et al.  Retrieval of aerosol optical depth over land using two‐angle view satellite radiometry during TARFOX , 1998 .

[21]  Horst H. Schwarzer,et al.  Polarization monitoring device for the High-Resolution Imaging Spectrometer (HRIS) , 1995, Defense, Security, and Sensing.

[22]  Olga V. Kalashnikova,et al.  Ability of multiangle remote sensing observations to identify and distinguish mineral dust types : Optical models and retrievals of optically thick plumes : Quantifying the radiative and biogeochemical impacts of mineral dust , 2005 .

[23]  Didier Tanré,et al.  Estimate of the aerosol properties over the ocean with POLDER , 2000 .

[24]  Russell A. Chipman,et al.  Low polarization optical system design , 2007, SPIE Optical Engineering + Applications.

[25]  Ralph A. Kahn,et al.  Sensitivity of multiangle imaging to natural mixtures of aerosols over ocean , 2001 .

[26]  J Scott Tyo,et al.  Review of passive imaging polarimetry for remote sensing applications. , 2006, Applied optics.

[27]  M. Mishchenko,et al.  Satellite retrieval of aerosol properties over the ocean using polarization as well as intensity of reflected sunlight , 1997 .