The Research of LandCover Classification on Optical Image and Radar Image

Yin Xuan Cao; Zheng Zhao

doi:10.4028/www.scientific.net/KEM.500.330

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The Research of LandCover Classification on Optical Image and Radar Image
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HomeKey Engineering MaterialsKey Engineering Materials Vol. 500The Research of LandCover Classification on...

The Research of LandCover Classification on Optical Image and Radar Image

Abstract:

This paper performed the fusion test using high resolution TerraSAR and ALOS optical multi-spectral image in Hengduan mountains area. The results of automatic classification compared to the visual effect for fusion image indicated that the classification accuracy by HPF is better than other fusion algorithm, which are superior to HPF in other application.

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Periodical:

Key Engineering Materials (Volume 500)

Pages:

330-334

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.500.330

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Online since:

January 2012

Authors:

Yin Xuan Cao, Zheng Zhao

Keywords:

Classification, Fusion, Landcover, Optical Image, SAR

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References

[1] YANG Yaozeng, The Present and Future of Synthetic Aperture Radar (SAR), J. RADIO ENGINEERING OF CHINA. pp.10-11. (references).

Google Scholar

[2] LIHao, WUWen, WUYonghui, Analysis of Noise Effects on Polarization SAR System, J. Journal of Air Force Radar Academy. Vol. 23, pp.359-362, October 2009. (references).

Google Scholar

[3] GUO Huadong etc., Theories and System of Radar for Earth Observation, M. Beijing: Science Press, 2000. (references).

Google Scholar

[4] HOU Rui, New high resolution spaceborne SAR sateline: TerraSAR-X, Science paper Online. (references).

Google Scholar

[5] JIANG Yong, ZHANG Xiaoling, SHI Jun, Speckle Reduction for Polarimetic Images by Improved Lee Filter, J. Journal of University of Electronic Science and Technology of China. vol. 38, pp.5-8, 2009. (references).

Google Scholar

[6] Dong Y, Milne A K, Forster B C, Toward Edge Sharpening, a SAR Speckle Filtering Algorithm, IEEE Transactions on Geoscience and Remote Sensing. J. vol. 39, pp.851-86, 2001. (references).

DOI: 10.1109/36.917910

Google Scholar

[7] JIN Hong, Research of Remote Sensing Technology of satellite, D. Beijing: Beijing Institute of Technology, 1997. (references).

Google Scholar

[8] Marc Schmitz, LandCover Mapping of Banda Aceh, Indonesia using optical and SAR Satellite Imagery, Diploma Thesis of the study course Geodesy and Geoinformatics. Fundation Item: Funded by The Key Laboratory of Mapping from Space of State Bureau of Surveying and Mapping.

Google Scholar