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。
Combining with the remote sensing data of Beijing-Hangzhou 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.
出处
《安徽农业科学》
CAS
北大核心
2009年第7期3122-3125,共4页
Journal of Anhui Agricultural Sciences
基金
国家科技支撑计划资助(2006BAK30B01)
关键词
SPOT5影像
遥感分类
面向对象
京杭大运河
SPOT5 image
Remote sensing classification
Object-oriented
Beijing-Hangzhou Grand Canal
