| 高分辨率影像中基于纹理的建筑区信息提取 |
| |
| 引用本文： | 陈超祥,陈华锋,叶时平.高分辨率影像中基于纹理的建筑区信息提取[J].计算机工程,2011,37(21):126-130. |
| |
| 作者姓名： | 陈超祥 陈华锋 叶时平 |
| |
| 作者单位： | 浙江树人大学信息科技学院,杭州,310015 |
| |
| 基金项目： | 浙江省教育厅科研计划基金资助项目 |
| |
| 摘 要： | 在分析QuickBird高分辨率遥感影像特点的基础上，将纹理特征作为分类依据，通过对比实验得出参与分类计算的纹理特征参数为反差和增强反差，按标准距离选出最佳分类因子。选取绿色波段数据，使用改进的最小距离法自动提取影像中的建筑区信息。仿真结果表明，基于该方法提取的建筑区信息识别率为95.4%。
|
| 关 键 词： | 遥感 高分辨率 纹理 灰度共生矩阵 建筑区信息提取 |
| 收稿时间： | 2011-05-24 |
Building Area Information Extraction Based on Texture in High-resolution Image |
| |
| CHEN Chao-xiang,CHEN Hua-feng,YE Shi-ping.Building Area Information Extraction Based on Texture in High-resolution Image[J].Computer Engineering,2011,37(21):126-130. |
| |
| Authors: | CHEN Chao-xiang CHEN Hua-feng YE Shi-ping |
| |
| Affiliation: | (College of Information Science & Technology,Zhejiang Shuren University,Hangzhou 310015,China) |
| |
| Abstract: | Texture is introduced as basis of classification based on the analysis of QuickBird high-resolution remote sensing images.Contrast and enhanced contrast are determined suitable for classification through contrast experiments,and the best classification factors are determined according to standard distance.The green band is chosen as classification band,and construction area information is extracted by improved minimum distance.Simulation results show that the extraction accuracy reaches 95.4%. |
| |
| Keywords: | remote sensing high-resolution texture Gray Level Concurrence Matrix（GLCM） building area information extraction |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
| 点击此处可从《计算机工程》浏览原始摘要信息 |
|
点击此处可从《计算机工程》下载全文 |
