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面向对象方法在SPOT5影像土地分类中的应用——以京杭大运河南旺地区为例
引用本文:朱春华,聂跃平.面向对象方法在SPOT5影像土地分类中的应用——以京杭大运河南旺地区为例[J].安徽农业科学,2009,37(7):3122-3125.
作者姓名:朱春华  聂跃平
作者单位:中国科学院遥感应用研究所,北京,100101
摘    要:结合京杭大运河山东地区SPOT全色和多光谱融合后的遥感数据,应用面向对象分类法对其进行地物分类,并和传统的基于像元的分类方法进行结果对比分析。结果表明,该方法速度快、精度高、效果好,可以满足对京杭大运河保护规划监测的需求。

关 键 词:SPOT5影像  遥感分类  面向对象  京杭大运河

Application of Object-oriented Approach in the Spot5 Image Land Classification
ZHU Chun-hua et al.Application of Object-oriented Approach in the Spot5 Image Land Classification[J].Journal of Anhui Agricultural Sciences,2009,37(7):3122-3125.
Authors:ZHU Chun-hua
Institution:ZHU Chun-hua et al(Institute of Remote Sensing Applications,Chinese Academy of Sciences,Beijing 100101)
Abstract:Combining with the remote sensing data of BeijingHangzhou Grand Canal in Shandong fused by multi-spectral and panchromatic SPOT5 data,the ground objects were classified by using object-oriented approach.And it was compared with the results by using the traditional pixel-oriented classification methods.The results indicated that the approach had a higher accuracy,efficiency and effect and it could meet the demands of the protection,layout and detection of Beijing-Hangzhou Grand Canal.
Keywords:SPOT5 image  Remote sensing classification  Object-oriented  Beijing-Hangzhou Grand Canal  
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