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SCIENCE CHINA Information Sciences, Volume 60, Issue 6: 069302(2017) https://doi.org/10.1007/s11432-016-0410-3

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

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  • ReceivedNov 21, 2016
  • AcceptedDec 12, 2016
  • PublishedFeb 7, 2017

Abstract


Funded by

National Natural Science Foundation of China(61601006)

General Project of Science and Technology Program of the Beijing Education Commission(KM-201610009004)


Acknowledgment

Acknowledgments

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).


References

[1] Darwish A, Leukert K, Reinhardt W. Image segmentation for the purposed of object-based classification. In: Proceedings of IEEE International Geoscience and Remote Sensing Symposium, Toulouse, 2003. Google Scholar

[2] Fang Z, Yi X J, Liu X Y, et al. Dual-band infrared remote sensing system with combined long-wave infrared imaging and mid-wave infrared spectral analysis. Rev Sci Instrum, 2013, 84: 083106 CrossRef Google Scholar

[3] Yang G, Li B, Ji S, et al. Ship detection from optical satellite images based on sea surface analysis. Geosci Remote Sens Lett, 2014, 11: 641-645 CrossRef Google Scholar

[4] Wei Z, Jian G, You H. Ship detection from low observable regions in optical remote sensing imagery. J Image Graph, 2012, 17: 1181-1187 Google Scholar

[5] Li Y C, Zhou R Y, Quan Y H, e al. An algorithm of ship target detection based on the adaptive background window function. J Xi'an Jiaotong Univ, 2013, 47: 25-30 Google Scholar

[6] Zhang X F, Wang Z Y. Coastline extraction from remote sensing image based on improved minimum filter. In: Proceedings of the 2nd IITA International Conference on Geoscience and Remote Sensing, Qingdao, 2010. 44--47. Google Scholar

[7] Xia Y, Wan S H, Jin P Q, et al. A novel sea-land segmentation algorithm based on local binary patterns for ship detection. Int J Signal Process, Image Process Pattern Recogn, 2014, 7: 237-246 Google Scholar

[8] Ehsan S, Clark A F, Rehman N U, et al. Integral images: efficient algorithms for their computation and storage in resource-constrained embedded vision systems. Sensors, 2015, 15: 16804-16830 CrossRef Google Scholar

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