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| 中巴地球资源02星数据特性分析 | |
| 引用本文： | 黄妙芬,徐曼,李坚诚,马吉平,刘素红.中巴地球资源02星数据特性分析[J].干旱区地理,2004,27(4):485-491. |
| 作者姓名： | 黄妙芬 徐曼 李坚诚 马吉平 刘素红 |
| 作者单位： | 1. 北京师范大学地理学与遥感科学学院遥感与地理信息系统研究中心,遥感科学国家重点实验室,环境遥感与数字城市北京市重点实验室,北京,100875 2. 中国科学院新疆生态与地理研究所,乌鲁木齐,830011 3. 广东省汕头职业技术学院,汕头,515041 4. 武汉大学遥感信息工程学院,武汉,430079 |
| 基金项目： | 国家自然科学基金资助项目(40271081)，国家973项目(G2000077900)资助 |
| 摘 要： | 卫星遥感图像数据特性分析是图像使用前重要的一步工作。利用归一化、单变量统计、类内和类间方差比值以及空间分辨率识别等数据模型分析了中巴地球资源卫星02星(CBERS-2)CCD相机数据的相对反射率波谱曲线变化特性、整幅图像的方差特性、作为分类训练区的样本地物的统计量特性和对空间地物识别的敏感性，并与LANDSAT7／ETM 图像进行对比。通过这些数据模型的应用研究，试图提供一种进行遥感图像数据特性分析的方法。 |
| 关 键 词： | 地球资源 CBERS 遥感图像数据 ETM＋ 地物识别 数据模型 CCD相机 单变量 归一化 卫星遥感图像 |
| 文章编号： | 1000-6060(2004)04-0485-07 |
| 修稿时间： | 2004年3月6日 |
Analysis of Image Characteristics of the Chinese-Brazil Earth Resources Satellite |
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| HUANG Miao fen ,XU man ,LI Jian cheng ,Ma Ji ping ,LIU Su hong.Analysis of Image Characteristics of the Chinese-Brazil Earth Resources Satellite[J].Arid Land Geography,2004,27(4):485-491. | |
| Authors: | HUANG Miao fen XU man LI Jian cheng Ma Ji ping LIU Su hong |
| Institution: | HUANG Miao fen 1,XU man 2,LI Jian cheng 3,Ma Ji ping 4,LIU Su hong 1 |
| Abstract: | Image quality assessment is a key step to understand and make good use of remote sensing data. Data models were employed to relatively assess for image quality of the Chinese Brazil Earth Resources Satellite (CBERS 2) and ETM+ in Li jiang region, Yunnan province. They include normalized model, univariate image statistics model, inner and mutual variance model, Signal to Noise Ratio model and spatial resolution model. The normalized model can be used to convert data into same physical quantity in order to make data be comparability. The other models can be used to open out the classified capability and information of data in supervised classification. With the study on data model, a method to analyze and assess remote sensing data was tried to bring forward. The result shows that (1) the spectral profile of both CBERS 2 and ETM+ is in accord with that of standard object; (2) the whole variance in waveband 1, 2, and 3 was all larger of ETM+ than of CBERS 2 and it is reverse in waveband 4. The variance of various objects were basically all larger of ETM+ than of CBERS 2, expect waveband 4 of mountain vegetation and water; as well as waveband 1 and 3 of snow; For various objects, the skewness and the kurtosis of CBERS 2 and ETM+ are complex; (3) For mountainous vegetation, road vegetation, old city, bare soil, water and snow, inner variance was all larger CBERS 2 than ETM+, and mutual variance was larger CBERS 2 than ETM+, except water; (4) CBERS 2 and ETM+ all have good spatial resolution, according to the profile of water edge. |
| Keywords: | CBERS-2 ETM+ Data model Image Characteristic |
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