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A novel sea-land segmentation based on integral image reconstruction in MWIR images

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Acknowledgements

This work was supported by General Project of Science and Technology Program of the Beijing Education Commission (Grant No. KM-201610009004), and National Natural Science Foundation of China (Grant No. 61601006).

Author information

Authors and Affiliations

  1. School of Information and Electronics, Beijing Institute of Technology, Beijing, 100081, China

    Yin Zhuang, Dechun Guo, He Chen & Long Ma

  2. School of Electronic Information Engineering, North China University of Technology, Beijing, 100144, China

    Fukun Bi

  3. Department of Software Engineering, Mehran University of Engineering and Technology, Khairpur, 066020, Pakistan

    Nouman Q. Soomro

Authors
  1. Yin Zhuang
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  2. Dechun Guo
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  3. He Chen
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  4. Fukun Bi
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  5. Long Ma
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  6. Nouman Q. Soomro
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Corresponding author

Correspondence to Dechun Guo.

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The authors declare that they have no conflict of interest.

Supporting information Appendix A, B, and Figure S1. The supporting information is available online at info.scichina.com and link.springer.com. The supporting materials are published as submitted, without typesetting or editing. The responsibility for scientific accuracy and content remains entirely with the authors.

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Zhuang, Y., Guo, D., Chen, H. et al. A novel sea-land segmentation based on integral image reconstruction in MWIR images. Sci. China Inf. Sci. 60, 069302 (2017). https://doi.org/10.1007/s11432-016-0410-3

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  • DOI: https://doi.org/10.1007/s11432-016-0410-3

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