| 面向对象解译方法在遥感影像地物分类中的应用 |
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| 引用本文： | 王建芳,包世泰.面向对象解译方法在遥感影像地物分类中的应用[J].热带地理,2006,26(3):234-238,242. |
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| 作者姓名： | 王建芳 包世泰 |
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| 作者单位： | 1. 华南农业大学信息学院,广州,510642;广州地理研究所,广州,510070;中科院广州地球化学研究所,广州,510640;中科院研究生院,北京,100039
2. 华南农业大学信息学院,广州,510642 |
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| 基金项目： | 广东省科技攻关项目[2005B30801005]，华南农大校长基金[2005K139] |
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| 摘 要： | 针对高分辨率遥感影像快速高效萃取有用信息这一遥感技术应用的热点问题,探讨了基于面向对象(Ob-ject-oriented)解译方法的遥感影像自动及半自动解译和提取的新思路。文中分析了面向对象解译方法在地物信息分类应用中的优势,并提出了基于此方法的高分辨率遥感影像多尺度信息提取技术流程。具体结合广州市新白云机场开发区IKONOS高分辨率遥感数据进行地物快速提取、自动分类的试验,并对解译效果进行了评估分析,证明此方法在高分辨率遥感影像地物分类中确实高效可行。
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| 关 键 词： | 面向对象 影像解译 分类 E-cognition |
| 文章编号： | 1001-5221（2006）03-0234-05 |
| 收稿时间： | 2006-02-23 |
| 修稿时间： | 2006-02-232006-05-11 |
Application of Object-Oriented Interpretation to Information Classification on Remote Sensing Image |
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| WANG Jian-fang,BAO Shi-tai.Application of Object-Oriented Interpretation to Information Classification on Remote Sensing Image[J].Tropical Geography,2006,26(3):234-238,242. |
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| Authors: | WANG Jian-fang BAO Shi-tai |
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| Institution: | 1. College of Information Science, South China Agricultural University, Guangzhou 510642, China; 2. Guangzhou Institute of Geography, Guangzhou 510070, China; 3. Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China; 4. Graduate School, Chinese Academy of Sciences, Beijing 100039, China |
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| Abstract: | How to extract the valuable information from high-resolution remote sensing image is a hotspot of application of remote sensing technology.The object-oriented approach presents a powerful automatic and semiautomatic interpretation for remote sensing image.In this paper the advantages of the approach applied to image information extraction and classification are analyzed,and the flowchart of high-resolution remote sensing image information extraction is designed.By using this method,as an example,the information from IKONOS image data for the Development Zone of the Baiyun Airport in Guangzhou is quickly extracted and classified automatically,and the precision of the classification results is evaluated.The approach has been proved to be feasible and efficient in high-resolution remote sensing data classification. |
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| Keywords: | Object-oriented Image interpretation Classification E-cognition |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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