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A Weighted Fusion Method for UAV Hyperspectral Image Splicing

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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

In order to obtain a wide field of view and high spatial resolution hyperspectral image, image splicing has been widely studied. This paper proposed a weighted fusion algorithm to address the phenomenon of color inhomogeneity in the overlapping regions of two spliced images, which is caused by different light intensity or different camera angles of scanning. Different from the traditional direct average fusion methods, the proposed weighted algorithm conducted the fusion of the overlapping regions with adaptive weights change. The simulation results show that the proposed weighted average fusion algorithm can effectively eliminate the seam between two parts of the assembled image, making the transition of the fusion area more naturally [1].

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References

  1. Xu C, Nie S (2016) Image splicing algorithm based on SURF and improved gradient method. Digital Technol Appl (12):133 + 136

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  2. Liu Y (2018) Research and implementation of UAV image mosaic technology. Anhui University, Anhui

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Acknowledgements

This work is supported by the National Nature Science Foundation of China (61801075, 61601077), the Fundamental Research Funds for the Central Universities (3132019218, 3132016331) and Open Research Fund of State Key Laboratory of Integrated Services Networks.

Author information

Authors and Affiliations

  1. Information and Technology College, Dalian Maritime University, Dalian, 116026, China

    Yulei Wang, Yao Shi, Qingyu Zhu, Di Wu, Chunyan Yu, Meiping Song & Anliang Liu

  2. State Key Laboratory of Integrated Services Networks, Xidian University, Xian, China

    Yulei Wang & Meiping Song

Authors
  1. Yulei Wang
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  2. Yao Shi
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  3. Qingyu Zhu
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  4. Di Wu
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  5. Chunyan Yu
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  6. Meiping Song
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  7. Anliang Liu
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Corresponding author

Correspondence to Yao Shi .

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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© 2020 Springer Nature Singapore Pte Ltd.

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Cite this paper

Wang, Y. et al. (2020). A Weighted Fusion Method for UAV Hyperspectral Image Splicing. 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_311

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  • DOI: https://doi.org/10.1007/978-981-13-9409-6_311

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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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