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| 高分辨率遥感影像在城市绿地信息提取中的应用研究 | |
| 引用本文： | 徐建辉,苏娅. 高分辨率遥感影像在城市绿地信息提取中的应用研究[J]. 资源开发与市场, 2010, 26(4): 291-293,F0002 |
| 作者姓名： | 徐建辉 苏娅 |
| 作者单位： | 滁州学院,国土信息工程系,安徽,滁州,239000 |
| 基金项目： | 安徽省教育厅优秀青年人才基金项目，滁州学院校级教学研究项目 |
| 摘 要： | 高分辨率卫星遥感图像数据量大、空间分辨率高、结构信息复杂、地物同物异谱现象更为突出等特征给专题信息提取技术带来了新的挑战。基于植被的光谱特征,利用监督分类、植被指数分类和目视解译等方法对QuickBird高分辨率卫星遥感影像的绿地信息进行提取,并对分类精度作了比对分析。研究结果表明,监督分类方法不能得到令人满意的结果,运用植被指数分类方法则有明显改善,其中归一化植被指数(NDVI)精度最高,因此NDVI能有效地对植被进行分类与识别。 |
| 关 键 词： | 城市绿地 监督分类 植被指数 |
Study of Urban Green Space Surveying Based on High Resolution Images of Remote Sensing |
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| XU Jian-hui,SU Ya. Study of Urban Green Space Surveying Based on High Resolution Images of Remote Sensing[J]. Resource Development & Market, 2010, 26(4): 291-293,F0002 | |
| Authors: | XU Jian-hui SU Ya |
| Affiliation: | XU Jian-hui,SU Ya(L, Information Engineering Department,Chuzhu College,Chuzhu 239000,China) |
| Abstract: | Due to the high-resolution satellite remote sensing images had large amount of data,high spatial resolution,complex structure of information,features to spectrum phenomenon was more outstanding,etc.To project information extraction technology brought new challenges,based on the spectral characteristics of vegetation,using the supervised classification,vegetation index classification,visual interpretation,and other methods to extract the green information from high-resolution satellite remote sensing image o... |
| Keywords: | QuickBird |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |