LIAO Mingsheng, JIANG Liming, LIN Hui, YANG Limin. Estimating Urban Impervious Surface Percent Using Boosting as a Refinement of CART Analysis[J]. Geomatics and Information Science of Wuhan University, 2007, 32(12): 1099-1102.
Citation:
LIAO Mingsheng, JIANG Liming, LIN Hui, YANG Limin. Estimating Urban Impervious Surface Percent Using Boosting as a Refinement of CART Analysis[J]. Geomatics and Information Science of Wuhan University, 2007, 32(12): 1099-1102.
LIAO Mingsheng, JIANG Liming, LIN Hui, YANG Limin. Estimating Urban Impervious Surface Percent Using Boosting as a Refinement of CART Analysis[J]. Geomatics and Information Science of Wuhan University, 2007, 32(12): 1099-1102.
Citation:
LIAO Mingsheng, JIANG Liming, LIN Hui, YANG Limin. Estimating Urban Impervious Surface Percent Using Boosting as a Refinement of CART Analysis[J]. Geomatics and Information Science of Wuhan University, 2007, 32(12): 1099-1102.
1 State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University,129 Luoyu Road,Wuhan 430079,China1 Institute of Space and Earth Information Science,Chinese University of Hong Kong,Shatin,New Territories,Hong Kong,China
An approach for estimating urban imperviousness surface percent(ISP) through the synergistic use of Landsat ETM+ and high-resolution imagery is presented.In the proposed approach,the ensemble leaning of CART analysis based on Boosting is utilized to construct the ISP predict model,furthermore,to obtain the subpixel ISP results at 30 m resolution.The experiment shows this approach yields ISP estimation performance compared to that of the traditional estimation method based on single CART,and its correlation coefficient of predicted versus actual ISP reaches 0.91 with an average error 11.16%.
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