摘要
初步测试利用基于知识规则的面向对象分类方法从高分辨率Ikonos卫星影像上提取建筑物,包括:融合1 m全色和4 m多光谱波段影像,生成1 m分辨率的多光谱融合影像;分割融合影像;利用影像对象的光谱和空间特征执行基于对象的分类。面向对象分类提取结果与传统的基于像元最大似然分类结果进行对比,表明面向对象分类方法更适用于提取高分辨率遥感影像中的建筑物。
In this study,an object-oriented classification method for building extraction is developed and tested on subscenes of an Ikonos scene of low residential urban region.The method includes the following steps:1m panchromatic and 4m multi-spectral bands in the Ikonos scene are fused to produce a pan-sharpened 1m multi-spectral image;the 1m multi-spectral image is segmented into image objects;and using spectral and spatial characteristics of image objects,object-oriented classification is performed to classify ...
出处
《测绘工程》
CSCD
2010年第4期30-33,38,共5页
Engineering of Surveying and Mapping
基金
国家自然科学基金资助项目(40801121)
中央高校基本科研业务费专项资助项目(2009JBM067)
关键词
面向对象影像分析
模糊逻辑
分割
分类
object-oriented image analysis
fuzzy logic
segmentation
classification
