| QuickBird多光谱图像像元分解 |
| |
| 引用本文： | 陈春,刘成玉,张树清.QuickBird多光谱图像像元分解[J].光谱学与光谱分析,2009,29(11):3117-3120. |
| |
| 作者姓名： | 陈春 刘成玉 张树清 |
| |
| 作者单位： | 1. 东北师范大学城市与环境科学学院,吉林,长春,130024
2. 中国科学院东北地理与农业生态研究所,吉林,长春,130012 |
| |
| 基金项目： | 国家自然科学基金项日，东北师范大学科技创新平台培育项目 |
| |
| 摘 要： | 以QuickBird卫星记录的DN值图像为实验数据,根据1～4波段积分辐亮度之和与全色波段积分辐亮度之间的比例关系及能量守恒律构建分解方程,将1～4波段图像每个像元分解成16(4×4)个像元,获得了分辨率为0.61 m的1～4波段辐亮度图像.与原图像比较,空间分辨率提高到4倍,地物细部特征清晰,视觉效果明显提高,图像成图适宜比例尺从1:10 000提高到1:2 500.
|
| 关 键 词： | QuickBird图像 像元分解 彩色合成 |
| 收稿时间： | 2008/11/6 |
Research on Pixel Decomposition of QuickBird Multi-Spectrum Band Images |
| |
| CHEN Chun,LIU Cheng-yu,ZHANG Shu-qing. College of Urban , Environmental Sciences,Northeast Normal University,Changchun ,China. Northeast Institute of Geography , Agroecology,Chinese Academy of Sciences,Changchun ,China.Research on Pixel Decomposition of QuickBird Multi-Spectrum Band Images[J].Spectroscopy and Spectral Analysis,2009,29(11):3117-3120. |
| |
| Authors: | CHEN Chun LIU Cheng-yu ZHANG Shu-qing College of Urban Environmental Sciences Northeast Normal University Changchun China Northeast Institute of Geography Agroecology Chinese Academy of Sciences Changchun China |
| |
| Institution: | CHEN Chun1,LIU Cheng-yu1,ZHANG Shu-qing21. College of Urban and Environmental Sciences,Northeast Normal University,Changchun 130024,China2. Northeast Institute of Geography and Agroecology,Chinese Academy of Sciences,Changchun 130012,China |
| |
| Abstract: | In the condition that the DN(Digital Number) value images of ground-atmosphere system recorded by the QuickBird artificial satellite sensor were taken as the experimental datum,the equation of pixel decomposition was structured,abiding by energy conservation law and the proportional relationship between the sum of 1-4 band integral radiance and the panchromatic band (Pan) integral radiance. By using the equation gained above,every pixel of 1-4 band images was decomposed into sixteen pixels. So the high reso... |
| |
| Keywords: | QuickBird images Pixel decomposition Color synthesis |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
|
