高分辨率遥感影像植被信息提取方法研究
Research on Vegetation Information Extraction Methods Based on the High-resolution Remote Sensing Images
唐亚蕾 1王腾 1田伟召1
作者信息
- 1. 吉林省地理信息院,吉林长春 130062
- 折叠
摘要
利用QuickBird影像,研究和探讨了基于决策树分类算法进行植被信息提取的方法,构建了基于目标数据的植被信息提取系统.为提高决策树分类的精度,在QuickBird影像的4个波段的基础上,为决策树分类属性加入了比值植被指数和归一化差异植被指数.
Abstract
Using a QuickBird image,the paper discusses the experiment of vegetation information extraction based on the decision tree algorithm. Vegetation information extraction is developed based on target data. In order to improve the accuracy of decision tree classi-fication,the knowledge database was built according to various vegetation spectrum and vegetation indices such as Ratio Vegetation In-dex and Normalized Difference Vegetation Index in decision tree classification attribute on the basis of four bands of QuickBird image.
关键词
遥感影像/植被提取/图像分类/决策树Key words
remote sensing/vegetation extraction/image classification/decision tree引用本文复制引用
出版年
2024
NETL
NSTL
万方数据