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Basic Theory and Main Processing Techniques of Hyperspectral Remote Sensing

  • Liguo WangEmail author
  • Chunhui Zhao
Chapter

Abstract

In order to enable the readers to have a better understanding of the main body contents of this book, this chapter firstly introduces the basic theory of the hyperspectral remote-sensing technique, involving the electromagnetic wave, solar radiation, imaging spectrometer and spectral imaging modes etc.

Keywords

Hyperspectral Image Hyperspectral Data Lossless Compression Hopfield Neural Network Super Resolution 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

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  2. Liu CH (2005) Research on dimensional reduction and classification of hyperspectral remote sensing image. Harbin Engineering University, NangangGoogle Scholar
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  5. Tong QX, Zhang B, Zheng LF (2006) Hyperspectral remote sensing: principle, technology and application. Higher Education Press, BeijingGoogle Scholar
  6. Wan JW, Nian YJ, Su LH, Xin Q (2010) Research progress on hyperspectral imagery compression technique. Sig Process 26(9):1397–1407Google Scholar

Copyright information

© National Defense Industry Press, Beijing and Springer-Verlag Berlin Heidelberg 2016

Authors and Affiliations

  1. 1.Harbin Engineering UniversityHarbinChina

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