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利用面向对象的分类方法提取水稻种植面积
引用本文:汤传勇,卢远.利用面向对象的分类方法提取水稻种植面积[J].遥感信息,2010,0(1):53-56.
作者姓名:汤传勇  卢远
作者单位:1. 广西师范学院资源与环境科学学院,广西,530001
2. 广西师范学院资源与环境科学学院,广西,530001;中国科学院水利部成都山地灾害与环境研究所,成都,610041
基金项目:国家自然科学基金项目 
摘    要:结合广西水稻面积的遥感解译工作,应用SPOT4遥感数据和遥感处理软件ENVI,利用面向对象的遥感分类的方法提取早稻种植面积。分类结果表明,利用面向对象的分类方法有效解决逐像素分类结果的"椒盐"效应,获得比传统的像素级分类方法更高的分类精度,为广西水稻种植面积的自动提取提供了广阔的前景。

关 键 词:面向对象分类  K近邻法  水稻  广西
收稿时间:2009-02-10
修稿时间:2009-04-08

Research on Extraction of Rice Planting Area Based on Object-oriented Classification Method
TANG Chuan-yong①,LU Yuan.Research on Extraction of Rice Planting Area Based on Object-oriented Classification Method[J].Remote Sensing Information,2010,0(1):53-56.
Authors:TANG Chuan-yong①  LU Yuan
Affiliation:①,②(①Faculty of Resources and Environmental Sciences,Guangxi Teachers College,Guangxi 530001;②Institute of Mountain Hazards and Environment,Chinese Academy of Sciences,Chengdu 610041)
Abstract:The paper combines the remote sensing interpretation of rice area in Guangxi,applies SPOT4 remote sensing data and remote sensing software ENVI,makes use of object-oriented remote sensing classification method to extract rice planting area.The classification result shows that by using object-oriented classification method,it is helpful to solve the "salt and pepper" effect that is the result of pixel-by-pixel classification effectively,and receive higher classification accuracy compared to the traditional pixel-level classification method,and the provide the broad prospective for the automatic extraction of rice planting area in Guangxi.
Keywords:object-oriented classification  K nearest neighbor  rice  guangxi
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