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徐冰
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电子邮箱:bingxu@tsinghua.edu.cn
学科:生态学
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[14] Wu, S. S., B. Xu and L. Wang 2006: Urban land-use classification using variogram-based analysis with an aerial pho-tograph. Photogrammetric Engineering and Remote Sensing 72, 813-822.
[13] Gong, P., Li X., B. Xu, 2006. Interpretation theory and application method development for information extraction from high resolution remotely sensed data, Journal of Remote Sensing.
[12] Xu, B., P. Gong, G. Biging, S. Liang, E. Seto and R. Spear 2004: Snail density prediction for schistosomiasis con-trol using ikonos and ASTER images. Photogrammetric Engineering and Remote Sensing 70, 1285-1294.
[11] Yue, T. X., B. Xu and J. Y. Liu 2004: A patch connectivity index and its change in relation to new wetland at the Yel-low River Delta. International Journal of Remote Sensing 25, 4617-4628.
[10] Pu, R., B. Xu and P. Gong 2003: Oakwood crown closure estimation by unmixing Landsat TM data. International Journal of Remote Sensing 24, 4433-4445.
[9] Xu, B., P. Gong, E. Seto and R. Spear 2003: Comparison of gray-level reduction and different texture spectrum encod-ing methods for land-use classification using a panchromatic IKONOS image. Photogrammetric Engineering and Remote Sensing 69, 529-536.
[8] Xu, B., P. Gong and R. L. Pu 2003: Crown closure estimation of oak savannah in a dry season with Landsat TM im-agery: comparison of various indices through correlation analysis. International Journal of Remote Sensing 24, 1811-1822.
[7] Xu B., P. Gong, S. Liang, E. Seto, R. Spear, 2003. Snail density estimation for schistosomiasis control by integrat-ing field survey and multiscale satellite images, Geographic Information Sciences, 9(1-2): 97-100.
[6] Yang C.H., D.C. Qiu, E. Seto, B. Xu, L.G. Zhao, X.H. Meng, and X.G. Gu, 2003. Spatial technology applied in snail survey in ditches, Parasitoses and Infectious Diseases, 1(1):25-27 in Chinese
[5] Tian, Q. J., P. Gong, B. Xu, X. Wang, H. Guo and Q. Tong 2002: Reflectance, dielectric constant and chemical content of selected sedimentary rocks. International Journal of Remote Sensing 23, 5123-5128.
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