A bolometric hyperspectral camera based on a birefringent interferometer for remote sensing in the thermal infrared

被引:0
|
作者
Corti, Matted [1 ]
Zischka, Florian [2 ]
Preda, Fabrizio [3 ]
Perri, Antonio [3 ]
Pollil, Dario [1 ,3 ,4 ]
Cerullo, Giulio [1 ,3 ,4 ]
Barta, Cestmfr [5 ]
Chroust, Luka [5 ]
Valentinim, Gianluca [5 ]
Gebeshuber, Ille C. [2 ]
Manzoni, Cristian [4 ]
Ballada, Ondrej [5 ]
机构
[1] Politecn Milan, Dipartimento Fis, Piazza Leonardo Vinci 32, I-120133 Milan, Italy
[2] Tech Univ Wien, Wiedner Hauptstr 8-10-134, A-1040 Vienna, Austria
[3] NIREOS SRL, Via G Durando 39, I-20158 Milan, Italy
[4] BBT Mat Proc Ltd, Doubicka 11, Prague 184008, Czech Republic
[5] IFN CNR, Piazza Leonardo Vinci 32, I-120133 Milan, Italy
来源
关键词
D O I
10.1051/epjconf/202430913001
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
Remote sensing in thermal infrared bands (TIR) is largely dominated by cumbersome dispersive-type hyperspectral imagers, which usually require expensive and cryo-cooled quantum detectors to make up for their low optical throughput. Here, we present a compact and low-cost TIR hyperspectral camera based on the Fourier-transform approach. It combines an uncooled bolometer detector and a common-path birefringent interferometer made of calomel (Hg2Cl2). It features high optical throughput, an interferometric contrast greater than 90% even for incoherent radiation, spectral resolution tunable up to 4.5 cm(-1), robust and long-term interferometric stability. Retrieving in a few minutes the infrared spectrum in all pixels of the TIR image, it could constitute a valuable tool for evaluating radiative cooling materials' spatial and spectral properties over extended areas. We test the capabilities of the instrument by measuring the emissivity map of different butterfly wings, which provide a natural example of radiative cooling.
引用
收藏
页数:2
相关论文
共 50 条
  • [41] Distribution characteristics of surface thermal environment in Zhejiang province based on thermal infrared remote sensing
    Wu W.
    Jin C.
    Pang Y.
    Zhao L.
    Song Y.
    Hu T.
    Zhang D.
    Xu J.
    Yaogan Xuebao/Journal of Remote Sensing, 2019, 23 (04): : 796 - 808
  • [42] A high-throughput Hyperspectral Microscope based on a Birefringent Ultrastable Common-Path Interferometer
    Ardini, B.
    Valentini, G.
    Bassi, A.
    Candeo, A.
    Cerullo, G.
    Vanna, R.
    Comelli, D.
    Manzoni, C.
    2021 CONFERENCE ON LASERS AND ELECTRO-OPTICS EUROPE & EUROPEAN QUANTUM ELECTRONICS CONFERENCE (CLEO/EUROPE-EQEC), 2021,
  • [43] GVIS-ground based hyperspectral remote sensing
    Oppelt, Natascha
    Hank, Tobias
    Mauser, Wolfram
    WMSCI 2007 : 11TH WORLD MULTI-CONFERENCE ON SYSTEMICS, CYBERNETICS AND INFORMATICS, VOL V, POST CONFERENCE ISSUE, PROCEEDINGS, 2007, : 295 - 300
  • [44] Hyperspectral remote sensing image classification based on SDE
    Huang, Hong
    Yang, Mei
    Zhang, Man-Ju
    Guangxue Jingmi Gongcheng/Optics and Precision Engineering, 2013, 21 (11): : 2922 - 2930
  • [46] Basic research in the field of thermal infrared remote sensing
    Guanhua Xu
    Science in China Series E: Technological Sciences, 2000, 43 : 1 - 8
  • [47] Basic research in the field of thermal infrared remote sensing
    Xu, GH
    SCIENCE IN CHINA SERIES E-TECHNOLOGICAL SCIENCES, 2000, 43 (Suppl 1): : 1 - 8
  • [48] Restoration of Hyperspectral Remote Sensing Image Based on MTF
    Wu Wenbin
    Zhao Xuejun
    2012 INTERNATIONAL SYMPOSIUM ON INFORMATION SCIENCE AND ENGINEERING (ISISE), 2012, : 445 - 448
  • [49] Feasibility study of hyperspectral line-scanning camera imagery for remote sensing purposes
    Soszynska, Agnieszka
    Mueller-Rowold, Malte
    Reulke, Ralf
    2018 INTERNATIONAL CONFERENCE ON IMAGE AND VISION COMPUTING NEW ZEALAND (IVCNZ), 2018,
  • [50] EcoSpec: Highly Equipped Tower-Based Hyperspectral and Thermal Infrared Automatic Remote Sensing System for Investigating Plant Responses to Environmental Changes
    Hamada, Yuki
    Cook, David
    Bales, Donald
    SENSORS, 2020, 20 (19) : 1 - 13