Field deployable pushbroom hyperspectral imaging polarimeter

被引:16
|
作者
Kudenov, Michael W. [1 ]
Lowenstern, Mariano E. [1 ]
Craven, Julia M. [2 ]
LaCasse, Charles F. [2 ]
机构
[1] North Carolina State Univ, Dept Elect & Comp Engn, Opt Sensing Lab, Raleigh, NC 27695 USA
[2] Sandia Natl Labs, POB 5800, Albuquerque, NM 87185 USA
关键词
spectral imaging; polarimetry; pushbroom; spectroscopy; spectropolarimetry; REMOTE-SENSING APPLICATIONS; SPECTROPOLARIMETRY;
D O I
10.1117/1.OE.56.10.103107
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
Hyperspectral imaging polarimetry enables both the spectrum and its spectrally resolved state of polarization to be measured. This information is important for identifying material properties for various applications in remote sensing and agricultural monitoring. We describe the design and performance of a ruggedized, field deployable hyperspectral imaging polarimeter, designed for wavelengths spanning the visible to near-infrared (450 to 800 nm). An entrance slit was used to sample the scene in a pushbroom scanning mode across a 30 deg vertical by 110 deg horizontal field-of-view. Furthermore, athermalized achromatic retarders were implemented in a channel spectrum generator to measure the linear Stokes parameters. The mechanical and optical layout of the system and its peripherals, in addition to the results of the sensor's spectral and polarimetric calibration, are provided. Finally, field measurements are also provided and an error analysis is conducted. With its present calibration, the sensor has an absolute polarimetric error of 2.5% RMS and a relative spectral error of 2.3% RMS. (C) 2017 Society of Photo-Optical Instrumentation Engineers (SPIE)
引用
收藏
页数:11
相关论文
共 50 条
  • [41] Analysis of Optic Crosstalk Correction for Pushbroom Hyperspectral Data
    Tao Dong-xing
    Jia Guo-rui
    Zhao Hui-jie
    Yuan Yan
    Ma Yan-hua
    SPECTROSCOPY AND SPECTRAL ANALYSIS, 2014, 34 (11) : 3141 - 3146
  • [42] Repeatability, Reproducibility, and Accuracy of a Novel Pushbroom Hyperspectral System
    Vilaseca, Meritxell
    Schael, Barbara
    Delpueyo, Xana
    Chorro, Elisabet
    Perales, Esther
    Hirvonen, Tapani
    Pujol, Jaume
    COLOR RESEARCH AND APPLICATION, 2014, 39 (06): : 549 - 558
  • [43] Analyzing the Misregistration of the Pushbroom Offner Hyperspectral Imaging Spectrometer Caused by FOV Separation and Motion Compensation Design
    Tao Dongxing
    Wang Jing
    Zhang Chao
    Bi Yanqiang
    Shang Yonghong
    Pei Yifei
    Zhang Jingchuan
    Jia Guorui
    2017 INTERNATIONAL CONFERENCE ON OPTICAL INSTRUMENTS AND TECHNOLOGY: OPTOELECTRONIC IMAGING/SPECTROSCOPY AND SIGNAL PROCESSING TECHNOLOGY, 2017, 10620
  • [44] Toward High Altitude Airship Ground-Based Boresight Calibration of Hyperspectral Pushbroom Imaging Sensors
    Zhang, Aiwu
    Hu, Shaoxing
    Meng, Xiangang
    Yang, Lingbo
    Li, Hanlun
    REMOTE SENSING, 2015, 7 (12): : 17297 - 17311
  • [45] Calibration and application of airborne pushbroom hyperspectral imager (PHI)
    Shu, R
    Xue, YQ
    Yang, YD
    SENSORS, SYSTEMS AND NEXT-GENERATION SATELLITES VII, 2004, 5234 : 668 - 675
  • [46] A novel pushbroom imaging system
    Liu, XP
    Wen, DS
    Lu, Z
    Wu, L
    Deng, NM
    ENABLING PHOTONIC TECHNOLOGIES FOR AEROSPACE APPLICATIONS, 1999, 3714 : 139 - 144
  • [47] Catadioptric HyperSpectral Light Field Imaging
    Xue, Yujia
    Zhu, Kang
    Fu, Qiang
    Chen, Xilin
    Yu, Jingyi
    2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV), 2017, : 985 - 993
  • [48] Snapshot Hyperspectral Light Field Imaging
    Xiong, Zhiwei
    Wang, Lizhi
    Li, Huiqun
    Liu, Dong
    Wu, Feng
    30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017), 2017, : 6873 - 6881
  • [49] A Field-Based Pushbroom Imaging Spectrometer for Estimating Chlorophyll Content of Maize
    Zhang Dong-yan
    Liu Rong-yuan
    Song Xiao-yu
    Xu Xin-gang
    Huang Wen-jiang
    Zhu Da-zhou
    Wang Ji-hua
    SPECTROSCOPY AND SPECTRAL ANALYSIS, 2011, 31 (03) : 771 - 775
  • [50] Hyperspectral imaging's potential for transforming the imaging field
    Picot-Clemente, Jeremy
    LASER FOCUS WORLD, 2023, 59 (04): : 20 - 24