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Advance Multispectral Analysis for Segmentation of Satellite Image

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Computational Science and Its Applications – ICCSA 2018 (ICCSA 2018)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10960))

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Abstract

This paper presents an application with record performance for electromagnetic spectrum analysis of multispectral satellite image. The analysis method is an application-specific pixels oriented to images segmentation. This kind of segmentation is used in remote sensing for land cover and land use classification and change detection. Regions of the image are clustered separately and then the results are combined, for this the processing method employs two types of clustering algorithms, each specialized to its task and steered towards obtaining a final meaningful segmentation. The results show good spatial coherency in segments and coherent borders between regions that were segmented separately.

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Author information

Authors and Affiliations

  1. Faculty of Applied Sciences, Physics Department, University “Politehnica” of Bucharest, 313 Splaiul Independentei, 060042, Bucharest, Romania

    Paul E. Sterian & Dan Iordache

  2. Academy of Romanian Scientists, Splaiul Independentei No. 54, 050094, Bucharest, Romania

    Paul E. Sterian & Dan Iordache

  3. Faculty of Automatic Control and Computer Science, University “Politehnica” of Bucharest, Bucharest, Romania

    Florin Pop

Authors
  1. Paul E. Sterian
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  2. Florin Pop
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  3. Dan Iordache
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Corresponding author

Correspondence to Paul E. Sterian .

Editor information

Editors and Affiliations

  1. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  2. University of Basilicata, Potenza, Italy

    Beniamino Murgante

  3. Covenant University, Ota, Nigeria

    Sanjay Misra

  4. Saint Petersburg State University, Saint Petersburg, Russia

    Elena Stankova

  5. Polytechnic University of Bari, Bari, Italy

    Carmelo M. Torre

  6. University of Minho, Braga, Portugal

    Ana Maria A.C. Rocha

  7. Monash University, Clayton, Victoria, Australia

    David Taniar

  8. Kyushu Sangyo University, Fukuoka shi, Fukuoka, Japan

    Bernady O. Apduhan

  9. Politecnico di Bari, Bari, Italy

    Eufemia Tarantino

  10. Myongji University, Yongin, Korea (Republic of)

    Yeonseung Ryu

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The authors declare that there is no conflict of interest regarding the publication of this paper.

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Sterian, P.E., Pop, F., Iordache, D. (2018). Advance Multispectral Analysis for Segmentation of Satellite Image. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2018. ICCSA 2018. Lecture Notes in Computer Science(), vol 10960. Springer, Cham. https://doi.org/10.1007/978-3-319-95162-1_50

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  • DOI: https://doi.org/10.1007/978-3-319-95162-1_50

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-95161-4

  • Online ISBN: 978-3-319-95162-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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