作物遥感识别中的数据挖掘技术  

Data mining technology for crop identification using remote sensing

作　　者：安琼[1] 杨邦杰[2] 焦险峰[2] 

机构地区：[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

出　　处：《农业工程学报》2007年第8期181-186,共6页Transactions of the Chinese Society of Agricultural Engineering

基　　金：国家自然科学基金资助项目(30471009)

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。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.

关 键 词：作物识别 遥感 分类 数据挖掘 

分 类 号：TP751.1[自动化与计算机技术—检测技术与自动化装置]