|
|||||
|
|
| 基于CART决策树提取高分辨率遥感影像建筑物信息 | |
| 引用本文： | 李强,张景发. 基于CART决策树提取高分辨率遥感影像建筑物信息[J]. 地震, 2013, 33(2): 96-102 |
| 作者姓名： | 李强 张景发 |
| 作者单位： | 1.中国地质大学武汉地球物理与空间信息学院 430074; 2.中国地震局地壳应力研究所, 北京 100085 |
| 基金项目： | 国家高技术研究发展计划(863计划)，高分光学卫星遥感地震应急技术研究 |
| 摘 要： | 传统的仅依赖于光谱信息的遥感影像信息提取方法难以满足精度要求, 基于CART算法构建规则集, 利用决策树技术对玉树地区高分辨率影像进行建筑物信息提取, 除了光谱信息外还结合建筑物的纹理特征信息。 结果表明, 提取精度较传统的最大似然法有了较明显的提高, 说明此方法对于高分辨率影像建筑物提取具有一定的可行性。 |
| 关 键 词： | CART决策树 高分辨率遥感影像 建筑物信息提取 |
| 收稿时间： | 2013-01-09 |
Extraction of Building Information from High Resolution Images Based on CART Decision Tree |
|
| LI Qiang , ZHANG Jing-fa. Extraction of Building Information from High Resolution Images Based on CART Decision Tree[J]. China Earthguake Engineering Journal, 2013, 33(2): 96-102 | |
| Authors: | LI Qiang ZHANG Jing-fa |
| Affiliation: | 1. Institute of Geophysics and Geomatics, China University of Geosciences; Wuhan 430074, China; 2. Institute of Crustal Dynamics, CEA, Beijing 100085, China |
| Abstract: | Traditional information extraction method from remote sensing images depends on spectral information, and is difficult to satisfy accuracy requirement. We combine spectral information with texture feature information to extract building information from high resolution images in Yushu area based on CART algorithm. Results show that comparing with traditional maximum likelihood method, the extraction accuracy has been improved. The method for high resolution image building extraction is feasible. |
| Keywords: | CART decision tree High resolution image Building information extraction |
| 本文献已被 万方数据 等数据库收录！ | |
| 点击此处可从《地震》浏览原始摘要信息 | |
| 点击此处可从《地震》下载全文 | |