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《Science of Surveying and Mapping》 2011-05
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An extraction algorithm of urban vegetation from remote sensing image based on object-oriented approach

LI Cheng-fan①,YIN Jing-yuan①②,ZHAO Jun-juan①(①School of Computer Engineering and Science,Shanghai University,Shanghai 200072,China;②Earthquake Administration of Shanghai,Shanghai 200062,China)  
To address the limitations of urban regional scale and the features of extraction of urban vegetation from high resolution satellite image based on object-oriented approach,this paper presented a approach to use segmentation of high-resolution remote sensing image,object statistics signature technique based on object-oriented,the fuzzy classification technique based on multi-thresholds method,and then forests,thin grassland,thick grassland were extracted accurately.The object-based method performances were assessed using two sources of reference data,including a multi-scale segmentation algorithm based on object-oriented,and the maximum likelihood supervised classification.High accuracy(93.72﹪) and overall Kappa coefficient(0.8236) were achieved by this method using Quickbird image,the experimental results demonstrated that the approach was simple for computation in urban regional scale.
【Fund】: 上海市科委项目(08DZ2292200);; 国家科技支撑项目(2008BAC38B03)
【CateGory Index】: TP751
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