Snapshot LWIR hyperspectral polarimetric imager for ocean surface sensing

被引:0
|
作者
Iannarilli, FJ [1 ]
Shaw, JA [1 ]
Jones, SH [1 ]
Scott, HE [1 ]
机构
[1] Aerodyne Res Inc, Billerica, MA 01821 USA
关键词
polarimetry hyperspectral infrared ocean waveslope surface roughness wind;
D O I
暂无
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
We are applying a novel LWIR (long-wavelength infrared: 8-12 micrometers) hyperspectral polarimetric imager to geophysical ocean surface sensing. The sensor is an embodiment of an invention by Aerodyne Research known as P-SIM (for Polarimetric Spectral Intensity Modulation). The design enables instantaneous "snapshot" spectropolarimetric imaging with perfect channel registration and full elliptical polarimetry. The optical polarimetry enables retrieval of the phenomenologically rich capillary wave structure morphology (roughness). The spectrally resolved polarimetry additionally allows disambiguation of downwelling from emitted components. Such data supports improved retrievals of sea surface temperature, emissivity, and surface wind vector. We discuss the sensor design, and the analytic means for the geophysical retrievals.
引用
收藏
页码:270 / 283
页数:14
相关论文
共 50 条
  • [1] Ocean surface characterization using snapshot hyperspectral polarimetric imager
    Carrizo, Carlos
    Golovin, Andrii
    El-Habashi, Ahmed
    Foster, Robert
    Gray, Deric
    Bowles, Jeff
    Gilerson, Alexander
    [J]. OCEAN SENSING AND MONITORING X, 2018, 10631
  • [2] Comparing a MWIR and LWIR polarimetric imager for surface swimmer detection
    Harchanko, John S.
    Pezzaniti, Larry
    Chenault, David
    Eades, Graham
    [J]. OPTICS AND PHOTONICS IN GLOBAL HOMELAND SECURITY IV, 2008, 6945
  • [3] Compressive Sensing Hyperspectral Imager in the LWIR for Chemical Plume Detection
    Craig, Stephanie M.
    Dupuis, Julia R.
    Dixon, John P.
    Anguita, Martin
    Mansur, David
    Buchanan, S. Chase
    Kehoe, Eric R.
    Peterson, Christopher
    Scharf, Louis
    Kirby, Michael M.
    [J]. ALGORITHMS, TECHNOLOGIES, AND APPLICATIONS FOR MULTISPECTRAL AND HYPERSPECTRAL IMAGING XXVIII, 2022, 12094
  • [4] Mathematical Model and Experimental Methodology for Calibration of a LWIR Polarimetric-Hyperspectral Imager
    Holder, Joel G.
    Martin, Jacob A.
    Gross, Kevin C.
    [J]. 2014 IEEE APPLIED IMAGERY PATTERN RECOGNITION WORKSHOP (AIPR), 2014,
  • [5] Comparing a MWIR and LWIR polarimetric imager for surface swimmer detection
    Harchanko, John S.
    Pezzaniti, Larry
    Chenault, David
    Eades, Graham
    [J]. POLARIZATION: MEASUREMENT, ANALYSIS, AND REMOTE SENSING VIII, 2008, 6972
  • [6] Characterization and performance of a LWIR polarimetric imager
    Eriksson, Johan
    Bergstrom, David
    Renhorn, Ingmar
    [J]. ELECTRO-OPTICAL REMOTE SENSING XI, 2017, 10434
  • [7] A Novel Snapshot Polarimetric Imager
    Wong, Gerald
    McMaster, Ciaran
    Struthers, Robert
    Gorman, Alistair
    Sinclair, Peter
    Lamb, Robert
    Harvey, Andrew R.
    [J]. ELECTRO-OPTICAL AND INFRARED SYSTEMS: TECHNOLOGY AND APPLICATIONS IX, 2012, 8541
  • [8] A snapshot foveal hyperspectral imager
    Fletcher-Holmes, DW
    Harvey, AR
    [J]. IMAGING SPECTROMETRY VIII, 2002, 4816 : 407 - 414
  • [9] Dual band (MWIR/LWIR) hyperspectral imager
    Hinnrichs, M
    Gupta, N
    Goldberg, A
    [J]. 32ND APPLIED IMAGERY PATTERN RECOGNITION WORKSHOP, PROCEEDINGS, 2004, : 73 - 78
  • [10] Optical design of the RODES hyperspectral LWIR imager
    Vaclavik, Jan
    Vesely, Martin
    Dolecek, Roman
    [J]. OPTICS AND MEASUREMENT INTERNATIONAL CONFERENCE 2019, 2019, 11385