摘要
高度信息作为建筑物的重要属性信息,在军事和民用上都具有很高的利用价值。本文中提出了一种新的建筑物高度信息提取方法——基于分类的建筑物高度信息提取。此方法可以分为三个步骤:第一,利用面向对象分类方法进行建筑物屋顶和阴影的信息提取;第二,屋顶和阴影的优化;第三,建筑物高度信息提取。通过实验证明了这种方法在建筑物高度信息提取中的潜力。
Height information is the important attribute information of buildings and has a very good value both in military and civil use. In this paper, we propose a new method to extract the height of buildings applied on high-resolution remote sensing imagery based on object-oriented classification. The method can be divided into three phases ： 1.extraction of roofs and shadows using object-oriented classification; 2.optimization of the classification result （roofs and shadows） ;3.calculating the lengths of shadows and the heights of buildings. It is shown by our experiment that the method has a potential application in the extraction of building height.
出处
《测绘科学》
CSCD
北大核心
2008年第2期88-89,77,共3页
Science of Surveying and Mapping
