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International Conference of Pioneering Computer Scientists, Engineers and Educators

ICPCSEE 2018: Data Science pp 656–665Cite as

Selection of Wavelet Basis for Compression of Spatial Remote Sensing Image

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 901))

Abstract

Characteristics of spatial remote sensing images are studied. Based on their characteristics, remote sensing images are compressed through wavelet transformation. Wavelet properties are first analyzed. The relationship of these properties with image compression is then obtained. Simulations on wavelet properties are performed via MATLAB. Influence of individual properties on compression of spatial remote sensing images is obtained. Wavelet decomposition and reconstruction of several images are simulated in the experiment. With peak signal to noise ratio (PSNR) as the performance metric, the d9/7 wavelet is finally determined as the optimal choice for compression of spatial remote sensing image.

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Acknowledgements

The work was financially supported by the surface scientific and research projects of Jiamusi University (Grant No. 13Z1201576) and the basic research projects of Jiamusi University (Grant No. JMSUJCMS2016-009).

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Authors and Affiliations

  1. Information and Electronic Technology Institute, Jiamusi University, Jiamusi, 154007, Heilongjiang, China

    Meishan Li & Jiamei Xue

  2. Graduate School Jiamusi University, Jiamusi, 154007, China

    Hong Zhang

Authors
  1. Meishan Li
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  2. Jiamei Xue
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  3. Hong Zhang
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Corresponding author

Correspondence to Jiamei Xue .

Editor information

Editors and Affiliations

  1. Zhengzhou University, Zhengzhou, Henan, China

    Qinglei Zhou

  2. Zhengzhou University of Light Industry, Zhengzhou, Henan, China

    Yong Gan

  3. Northeast Forestry University, Harbin, China

    Weipeng Jing

  4. Harbin University of Science and Technology, Harbin, China

    Xianhua Song

  5. Zhengzhou Institute of Technology, Zhengzhou, China

    Yan Wang

  6. National Academy of Guo Ding Institute of Data Science, Beijing, China

    Zeguang Lu

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© 2018 Springer Nature Singapore Pte Ltd.

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Cite this paper

Li, M., Xue, J., Zhang, H. (2018). Selection of Wavelet Basis for Compression of Spatial Remote Sensing Image. In: Zhou, Q., Gan, Y., Jing, W., Song, X., Wang, Y., Lu, Z. (eds) Data Science. ICPCSEE 2018. Communications in Computer and Information Science, vol 901. Springer, Singapore. https://doi.org/10.1007/978-981-13-2203-7_54

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  • DOI: https://doi.org/10.1007/978-981-13-2203-7_54

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-2202-0

  • Online ISBN: 978-981-13-2203-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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