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《Electronic Measurement Technology》 2010-12
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Extraction useful method of Shanghai's green space based on ETM+ image

Wang Lishu Xie Yanan Geng Hui Wang Bo(Key Laboratory of Specialty Fiber Optical Access Networks,Shanghai University,Shanghai 200072)  
Based on ETM+ remote sensing image,the information of urban green space of shanghai was extracted by ERDAS IMAGINE 9.2 and ENVI 4.7.In the process of the experiment,image preprocessing was accomplished at the first step.Four methods for green space extraction were compared.They are original bands combination method,principal component analysis method(PCA),soil adjusted vegetation index(SAVI) method and the combination of original bands and derivative bands method.Comparing the four images created by the four methods,the soil adjusted vegetation index method created the best visual effect according to the actual situation of Shanghai.Supervised classification was carried out with four false color composite images created by four methods,and accurate assessment was done by ERDAS IMAGINE 9.2.The results show the combination of original bands and derivative bands method has the best accuracy in four methods,and it is an effective method to reduce soil background effect for the extraction of green space.
【Fund】: 上海市重点学科和科委重点实验室项目(S30108 08DZ2231100);; 上海市科委科技攻关计划(10511501702);; 上海市科委国际合作项目(08590700500);; 国家自然科学基金(61071185)
【CateGory Index】: P237
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