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A Datacube Reconstruction Method for Snapshot Image Mapping Spectrometer

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Communications, Signal Processing, and Systems (CSPS 2019)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 571))

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Abstract

The snapshot image mapping spectrometer (IMS) can acquire the datacube of a target in real time, and has the advantages of high light throughput, high temporal resolution, compact structure et al. This paper proposes a datacube reconstruction method for IMS, which is based on the geometric model of IMS. The simulation results prove that the method is effective and efficient.

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References

  1. Vane G, Goetz AFH, Wellman JB (1984) Airborne imaging spectrometer: a new tool for remote sensing. IEEE Trans Geosci Remote Sens GE-22(6):546–549

    Article  Google Scholar 

  2. Xiangli B, Yuan Y, Lü QB (2009) Spectral transfer function of the fourier transform spectral imager. Acta Phys Sin 58(8):5399–5405

    Article  Google Scholar 

  3. Shou-Peng L, Lin-Yuan W, Bin Y et al (2012) A Compton scattering image reconstruction algorithm based on total variation minimization. Chin Phys B 21(10):108703

    Article  Google Scholar 

  4. Lu-Lu Q, Qun-Bo L, Huang M et al (2015) Piecewise spectrally band-pass for compressive coded aperture spectral imaging. Chin Phys B 24(8):080703

    Article  Google Scholar 

  5. Gao L, Wang LV (2015) A review of snapshot multidimensional optical imaging: measuring photon tags in parallel. Phys Rep 616:1–37

    Article  MathSciNet  Google Scholar 

  6. Shao H, Wang JY, Xue YQ (1998) Key technology of pushbroom hyperspectral imager. J Remote Sens 2(4):251–254

    Google Scholar 

  7. Aiazzi B, Alparone L, Baronti S et al (2004) Tradeoff between radiometric and spectral distortion in lossy compression of hyperspectral imagery. Proc SPIE 5208:141–152

    Article  Google Scholar 

  8. Kruse FA, Lekoff AB, Boardman JW et al (1993) The spectral image processing system (SIPS)—interactive visualization and analysis of imaging spectrometer dat[J]. Rem Sens Env 44:145–163

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Tianjin Key Laboratory of Wireless Mobile Communications and Power Transmission, Tianjin Normal University, Tianjin, 300387, China

    Xiaoming Ding & Cheng Wang

  2. Department of Artificial Intelligence, College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, 300387, China

    Xiaoming Ding & Cheng Wang

Authors
  1. Xiaoming Ding
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  2. Cheng Wang
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Corresponding author

Correspondence to Cheng Wang .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, University of Texas at Arlington, Arlington, TX, USA

    Qilian Liang

  2. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Wei Wang

  3. School of Information and Communication Engineering, Dalian University of Technology, Dalian, Liaoning, China

    Xin Liu

  4. School of Information Science and Technology, Dalian Maritime University, Dalian, Liaoning, China

    Zhenyu Na

  5. School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China

    Min Jia

  6. College of Physical and Electronic Information, Tianjin Normal University, Tianjin, China

    Baoju Zhang

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Ding, X., Wang, C. (2020). A Datacube Reconstruction Method for Snapshot Image Mapping Spectrometer. In: Liang, Q., Wang, W., Liu, X., Na, Z., Jia, M., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2019. Lecture Notes in Electrical Engineering, vol 571. Springer, Singapore. https://doi.org/10.1007/978-981-13-9409-6_208

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  • DOI: https://doi.org/10.1007/978-981-13-9409-6_208

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-9408-9

  • Online ISBN: 978-981-13-9409-6

  • eBook Packages: EngineeringEngineering (R0)

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