Development of visible and short-wave infrared hyperspectral imager onboard GF-5 satellite

  • role: First author第一作者
  • Affiliation:

    CAS Key Laboratory of Infrared System Detection and Imaging Technology, Shanghai Institute of Technical Physics,Shanghai 200083,China

  • Email:ynliu@mail.sitp.ac.cn
  • Introduction: 刘银年,1971年生,男,研究员,研究方向为高光谱遥感技术。E-mail:ynliu@mail.sitp.ac.cn
LIU Yinnian1,  
  • Affiliation:

    CAS Key Laboratory of Infrared System Detection and Imaging Technology, Shanghai Institute of Technical Physics,Shanghai 200083,China

SUN Dexin1,  
  • Affiliation:

    CAS Key Laboratory of Infrared System Detection and Imaging Technology, Shanghai Institute of Technical Physics,Shanghai 200083,China

HU Xiaoning1,  
  • Affiliation:

    CAS Key Laboratory of Infrared System Detection and Imaging Technology, Shanghai Institute of Technical Physics,Shanghai 200083,China

LIU Shufeng1,  
  • Affiliation:

    CAS Key Laboratory of Infrared System Detection and Imaging Technology, Shanghai Institute of Technical Physics,Shanghai 200083,China

CAO Kaiqin1,  
  • Affiliation:

    CAS Key Laboratory of Infrared System Detection and Imaging Technology, Shanghai Institute of Technical Physics,Shanghai 200083,China

CHAI Mengyang1,  
  • Affiliation:

    CAS Key Laboratory of Infrared System Detection and Imaging Technology, Shanghai Institute of Technical Physics,Shanghai 200083,China

LIAO Qingjun1,  
  • Affiliation:

    CAS Key Laboratory of Infrared System Detection and Imaging Technology, Shanghai Institute of Technical Physics,Shanghai 200083,China

ZUO Zhiqiang1,  
  • Affiliation:

    CAS Key Laboratory of Infrared System Detection and Imaging Technology, Shanghai Institute of Technical Physics,Shanghai 200083,China

HAO Zhenyi1,  
  • Affiliation:

    CAS Key Laboratory of Infrared System Detection and Imaging Technology, Shanghai Institute of Technical Physics,Shanghai 200083,China

DUAN Weibo1,  
  • Affiliation:

    CAS Key Laboratory of Infrared System Detection and Imaging Technology, Shanghai Institute of Technical Physics,Shanghai 200083,China

ZHOU Weiyinuo1,  
  • Affiliation:

    CAS Key Laboratory of Infrared System Detection and Imaging Technology, Shanghai Institute of Technical Physics,Shanghai 200083,China

ZHANG Jing1,  
  • Affiliation:

    CAS Key Laboratory of Infrared System Detection and Imaging Technology, Shanghai Institute of Technical Physics,Shanghai 200083,China

ZHANG Ying1

реферат

Hyperspectral imaging technology provides high spectral resolution information of objects on the Earth. Hyperion and Compact High-Resolution Imaging Spectrometer have been the main sources of spaceborne hyperspectral data in the past few decades. However, the quality and quantity of the data cannot totally meet the challenging requirements of various applications. In this study, we design and present a visible and short-wave infrared hyperspectral imager called the Advanced Hyperspectral Imager (AHSI), which is one of the six payloads on China's GF-5 satellite launched on May 9, 2018. It is the first spaceborne hyperspectral sensor that utilizes convex grating spectrophotometry and an improved three concentric-mirror (Offner) configuration. We introduce the basic structure and imaging principle of AHSI.Ground object lights are reflected into an off-axis three-mirror telescope using pointing mirror. The lights are focused on a Field Of View (FOV) separator and then split into two parts. One part enters a visible/near-infrared (VNIR) spectrometer, and the other goes into a short-wave infrared (SWIR) spectrometer. Compound light is dispersed into a series of monochromatic light through convex grating and focused on a detector using a mirror with an improved Offner structure. A VNIR detector is a back-illuminated frame transfer charge-coupled device with a size of 2048×300 pixels. A SWIR detector is a HgCdTe focal plane cooled at 110 K, and has a size of 2048×512 pixels formed by four infrared focal plane arrays of the same size (512×512), with a staggering spatial arrangement. During calibration, sunlight is reflected into an optical system using a diffuse reflectance panel. The absolute radiation response of AHSI is calibrated with a solar diffuse reflection signal, and the degradation of the diffuse reflectance panel is corrected with a ratioing radiometer. The central wavelength and bandwidth are calibrated with onboard LED calibration component and solar atmospheric absorption profile, respectively (O2 adsorption peaks at 760 and 1260 nm).The main performance metrics of the AHSI are obtained and validated via well-designed on-orbit experiments. It has a spectral range of 400–2500 nm, with spectral resolutions of higher than 5 nm in the VNIR and 10 nm in the SWIR, respectively. The swath width is 60 km, and the spatial resolution is 30 m. Compared with Hyperion, which is a classical hyperspectral instrument, the imaging width of the AHSI is superior (eight times), the number of spectral bands has increased by hundreds, and the Signal-to-Noise Ratio (SNR) has improved by four times. Compared with the instruments recently developed/planned by Germany, Italy, Indian, and Japan, the AHSI has competitive performance and has evident advantages in terms of swath width and number of spectral channels. The AHSI has achieved the widest swath width and broadest spectral range to shorten the revisit time, improve the observation and monitoring efficiency, and refine the Earth’s observation.As one of the six main payloads on GF-5 satellite, the AHSI demonstrates the development of spaceborne hyperspectral imaging technology in China. It features a large FOV telescope, a low-distortion large flat-field fine spectrometer, a large-size infrared focal plane detector, a long-life large cooling capacity cryocooler, a high-precision calibration system, and a high-precision image compensation mechanism. The AHSI has outstanding capability of detecting and identifying ground objects, making it suitable to precision applications, such as ecological environment monitoring, land and resource survey, and oil/gas exploration.

ключеви́че слова́

GF-5 satellite;hyperspectral remote sensing;hyperspectral imager;wide swath width;low distortion

References

  1. 1.
    Barnsley M J,Settle J J,Cutter M A,Lobb D R andTeston F .2004.The PROBA/CHRIS mission: A low-cost smallsat for hyperspectral multiangle observations of the earth surface and atmosphere.IEEE Transactions on Geoscience and Remote Sensing,42(7):1512-1520
  2. 2.
    Ben-Dor E,Chabrillat S,Demattê J A M,Taylor G R,Hill J,Whiting M L andSommer S .2009.Using Imaging Spectroscopy to study soil properties.Remote Sensing of Environment,113 Suppl 1:S38-S55
  3. 3.
    Bommena R,Bergeson J D,Kodama R,Zhao J,Ketharanathan S,Schaake H,Shih H,Velicu S,Aqariden F,Wijewarnasuriya P S and Dhar N K .2014.High-performance SWIR HgCdTe FPA development on silicon substrate//Proceedings of the SPIE 9070,Infrared Technology and Applications XL. Baltimore:SPIE:907009 [DOI: 10.1117/12.2053020]
  4. 4.
    Briottet X,Marion R,Carrere V,Jacquemoud S,Chevrel S,Prastault P,D'oria M and Gilouppe P .2011.HYPXIM: a new Hyperspectral sensor combining science/defence applications//Proceedings of the 2011 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing.Lisbon:IEEE:1-4 [DOI: 10.1109/WHISPERS.2011.6080957]
  5. 5.
    CEOS .2012.CEOS EO handbook-instrument index[EB/OL].[2019-06-26].aspx#H
  6. 6.
    Cutter M A andHaskell L .2007.The CHRIS hyperspectral instrument & PROBA-1/Chris mission//Proceedings of ‘Envisat Symposium 2007’.Montreux:ESA SP
  7. 7.
    Dierickx B,Dupont B,Jerram P,Fryer M,Pratlong J,Walker A andDefernez A .2009.CMOS Synchronous shutter backside illuminated image sensor for Hyperspectral imaging//Proceedings of International Image Sensors Workshop. Bergen: [s.n.]:25-28
  8. 8.
    Giardino C,Brando V E,Dekker A G,Strömbeck N and Candiani G .2007.Assessment of water quality in Lake Garda (Italy) using Hyperion.Remote Sensing of Environment,109(2):183-195
  9. 9.
    Guanter L,Kaufmann H,Segl K,Foerster S,Rogass C,Chabrillat S,Kuester T,Hollstein A,Rossner G,Chlebek C,Straif C,Fischer S,Schrader S,Storch T,Heiden U,Mueller A,Bachmann M,Mühle H,Müller R,Habermeyer M,Ohndorf A,Hill J,Buddenbaum H,Hostert P,van der Linden S,Leitão P J,Rabe A,Doerffer R,Krasemann H,Xi H Y,Mauser W,Hank T,Locherer M,Rast M,Staenz K andSang B .2015.The EnMAP Spaceborne imaging spectroscopy mission for Earth Observation.Remote Sensing,7(7):8830-8857
  10. 10.
    Hu B L,Sun D X and Liu Y N .2018b.A Novel method to remove fringes for dispersive hyperspectral VNIR imagers using back-illuminated CCDs.Remote Sensing,10(1):79
  11. 11.
    Hu B L,Zhang J,Cao K Q,Hao S J,Sun D X and Liu Y N .2018a.Research on the Etalon effect in dispersive hyperspectral VNIR imagers using back-illuminated CCDs.IEEE Transactions on Geoscience and Remote Sensing,56(9):5481-5494
  12. 12.
    Hu X N,Huang A B,Liao Q J,Chen L,Chen X,Fan H,Chen H L,Ding R J,He L,Sun D X andLiu Y N .2017.Large format high SNR SWIR HgCdTe/Si FPA with multiple-choice gain for hyperspectral detection//Proceedings of the SPIE 10213,Hyperspectral Imaging Sensors:Innovative Applications and Sensor Standards 2017.Anaheim: SPIE:102130E [DOI: 10.1117/12.2262912]
  13. 13.
    HySIS .2018.https://space.skyrocket.de/doc_sdat/hysis.htm[2019-06-26]
  14. 14.
    Krishna G,Sahoo R N,Pradhan S,Ahmad T andSahoo P M .2018.Hyperspectral satellite data analysis for pure pixels extraction and evaluation of advanced classifier algorithms for LULC classification.Earth Science Informatics,11(12):159-170
  15. 15.
    Krutz D,Venus H,Eckardt A,Walter I,Sebastian I,Reulke R,Günther B,Zender B,Arloth S,Williges C,Lieder M,Neidhardt M,Grote U,Schrandt F andWojtkowiak A .2018.DESIS - DLR earth sensing imaging spectrometer//Proceedings of PSIVT 2017 International Workshops on Image and Video Technology.Wuhan:Springer:356-368 [DOI: 10.1007/978-3-319-92753-4_28]
  16. 16.
    Lindsay D,Bangs J W,Vampola J,Jaworski F,Mears L,Wyles R,Asbrock J,Norton E,Reddy M,Rybnicek K,Levy A andMalone N R .2011.Large format high operability low cost infrared focal plane array performance and capabilities//Proceedings of the SPIE 8154,Infrared Remote Sensing and Instrumentation XIX. San Diego:SPIE:81540S
  17. 17.
    Liu Y N,Ding X Z andLi Z Z .2015.Specification design of hyperspectral imaging remote sensor used in geosciences.Earth Science,40(8):1295-1300
  18. 18.
    Loizzo R,Guarini R,Longo F,Scopa T,Formaro R,Facchinetti C andVaracalli G .2018.PRISMA: the Italian Hyperspectral mission//Proceedings of IGARSS 2018- 2018 IEEE International Geoscience and Remote Sensing Symposium.Valencia:IEEE:175-178 [DOI: 10.1109/IGARSS.2018.8518512]
  19. 19.
    Ma G X,Xue Y Q andLi G F .2008.Satellite remote sensing for haze monitoring in Pearl River delta region.Science and Technology Review,26(16):72-76
  20. 20.
    Matsunaga T,Iwasaki A,Tsuchida S,Iwao K,Tanii J,Kashimura O,Nakamura R,Yamamoto H,Kato S,Mouri K,Tachikawa T andMoriyama M .2016.Current status of hyperspectral imager suite (HISUI) and its deployment plan on International Space Station//Proceedings of 2016 IEEE International Geoscience and Remote Sensing Symposium.Beijing:IEEE:257-260 [DOI: 10.1109/IGARSS.2016.7729058]
  21. 21.
    Middleton E M,Ungar S G,Mandl D J,Ong L,Frye S W,Campbell P E,Landis D R,Young J P andPollack N H .2013.The Earth Observing One (EO-1) satellite mission: over a decade in space.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,6(2):243-256
  22. 22.
    Mielke C,Boesche N K,Rogass C,Kaufmann H,Gauert C and de Wit M .2014.Spaceborne mine waste mineralogy monitoring in South Africa, applications for modern push-broom Missions: hyperion/OLI and EnMAP/sentinel-2.Remote Sensing,6(8):6790-6816
  23. 23.
    Nink S,Hill J,Buddenbaum H,Stoffels J,Sachtleber T andLangshausen J .2015.Assessing the suitability of future multi- and Hyperspectral satellite systems for mapping the spatial distribution of Norway spruce timber volume.Remote Sensing,7(9):12009-1204 0
  24. 24.
    Park J H,Pepping J,Mukhortova A,Ketharanathan S,Kodama R,Zhao J,Hansel D,Velicu S andAqariden F .2016.Development of high-performance eSWIR HgCdTe-based focal-plane arrays on silicon substrates.Journal of Electronic Materials,45(9):4620-4625
  25. 25.
    Pearlman J S,Barry P S,Segal C C,Shepanski J,Beiso D andCarman S L .2003.Hyperion, a space-based imaging spectrometer.IEEE Transactions on Geoscience and Remote Sensing,41(6):1160-1173
  26. 26.
    Peón J,Recondo C,Fernández S,Calleja J F,De Miguel E andCarretero L .2017.Prediction of topsoil organic carbon using airborne and satellite Hyperspectral imagery.Remote Sensing,9(12):1211
  27. 27.
    Nowicki-Bringuier Y R andChorier P .2009.Sofradir SWIR hyperspectral detectors for space applications//Proceedings of the SPIE 7474,Sensors, Systems, and Next-Generation Satellites XIII. Berlin:SPIE:747417 [DOI: 10.1117/12.830721]
  28. 28.
    Staenz K andHeld A .2012.Summary of current and future terrestrial civilian Hyperspectral Spaceborne systems//Proceedings of 2012 IEEE International Geoscience and Remote Sensing Symposium.Munich:IEEE:123-126 [DOI: 10.1109/IGARSS.2012.6351621]
  29. 29.
    Stuffler T,Kaufmann C,Hofer S,Förster K P,Schreier G,Mueller A,Eckardt A,Bach H,Penné B,Benz U andHaydn R .2007.The EnMAP hyperspectral imager-An advanced optical payload for future applications in Earth observation programmes.Acta Astronautica,61(1-6):115-120
  30. 30.
    Tong Q X,Zhang B andZhang L F .2016.Current progress of hyperspectral remote sensing in China.Journal of Remote Sensing,20(5):689-707
  31. 31.
    Van der Meer F D,van der Werff H M A,van Ruitenbeek F J A,Hecker C A,Bakker W H,Noomen M F,van der Meijde M,Carranza E J M,de Smeth J B andWoldai T .2012.Multi- and hyperspectral geologic remote sensing: a review.International Journal of Applied Earth Observation and Geoinformation,14(1):112-128
  32. 32.
    Xiong X X,Sun J Q,Wu A S,Chiang K F,Esposito J andBarnes W .2005.Terra and aqua MODIS calibration algorithms and uncertainty analysis//Proceedings of the SPIE 5978,Sensors, Systems, and Next-Generation Satellites IX. Bruges:SPIE:5978V
  33. 33.
    Yilmaz O,Unses E,Ucan M,Buyuk H,Celebi M,Turk F,Kirik M S,Haliloglu O,Celik V,Ekinci M,Guven E,Yilmaz O,Acar D,Aydogdu M F,Olca M andSelimoglu O .2015.Current Situation on spaceborne hyperspectral imager of Tübıtak Uzay: HSK//Proceedings of the 2015 7th International Conference on Recent Advances in Space Technologies.Istanbul:IEEE:223-227 [DOI: 10.1109/RAST.2015.7208345]
  34. 34.
    Zhang B .2016.Advancement of hyperspectral image processing and information extraction.Journal of Remote Sensing,20(5):1062-1090

Читать полностью

The above content is generated by Large Model Translation. The translated content is for reference only. We do not assume any commercial or legal responsibilty for any consequences arising from the use of our website