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%。
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%.
出处
《计算机工程》
CAS
CSCD
北大核心
2011年第21期126-130,共5页
Computer Engineering
基金
浙江省教育厅科研计划基金资助项目(Y200805711)
关键词
遥感
高分辨率
纹理
灰度共生矩阵
建筑区信息提取
remote sensing
high-resolution
texture
Gray Level Concurrence Matrix（GLCM）
building area information extraction
