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作物遥感识别中的数据挖掘技术
引用本文:安琼,杨邦杰,焦险峰. 作物遥感识别中的数据挖掘技术[J]. 农业工程学报, 2007, 23(8): 181-186
作者姓名:安琼  杨邦杰  焦险峰
作者单位:1. 中国农业大学信息与电气工程学院,北京,100083
2. 农业部规划设计研究院农业资源监测站,北京,100026
摘    要:该文综述了数据挖掘技术应用在图像分类方面的各种方法,介绍了每种方法的优缺点、适用领域及应用情况。介绍了将数据挖掘技术应用于图像分类方面以有效解决当前作物遥感识别中的瓶颈问题。对当前作物遥感识别系统在数据源的使用、识别过程的规范和方法的实用性方面的问题进行了分析,展望了作物遥感识别中的数据挖掘技术研究发展方向。

关 键 词:作物识别  遥感  分类  数据挖掘
文章编号:1002-6819(2007)8-0181-06
收稿时间:2006-12-31
修稿时间:2006-12-31

Data mining technology for crop identification using remote sensing
An Qiong,Yang Bangjie and Jiao Xianfeng. Data mining technology for crop identification using remote sensing[J]. Transactions of the Chinese Society of Agricultural Engineering, 2007, 23(8): 181-186
Authors:An Qiong  Yang Bangjie  Jiao Xianfeng
Affiliation:College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China;Center for Agricultural Resources Monitoring, Chinese Academy of Agricultural Engineering, Beijing 100026, China;Center for Agricultural Resources Monitoring, Chinese Academy of Agricultural Engineering, Beijing 100026, China
Abstract:It can effectively solve the bottleneck problem in crop identification using remote sensing at present. In this paper, the application of data mining technology in data classification, in the process of crop identification using remote sensing was reviewed. The main problems discussed included the merits, shortages and application fields and conditions of these methods. Many kinds of data mining technologies have been used in remote sensing data classification in recent years. And, the problems of present crop identification system of crop monitoring using remote sensing were analyzed. The future developing trends in the study of remote sensing image classification were dealt with at the end of this paper.
Keywords:crop identification   remote sensing   classification   data mining
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