遥感技术与应用 2016, Vol. 31 Issue (6): 1107-1113 DOI: 10.11873/j.issn.1004-0323.2016.6.1107 |
数据与图像处理 |
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基于环境卫星数据的沿海滩涂地物类型分类的随机森林方法 |
王艳楠1,王健健1,龚健新1,袁帅1,刘辉1,罗文2,3 |
(1.南京师范大学虚拟地理环境教育部重点实验室,江苏 南京 210023;
2.江苏省地理环境演化国家重点实验室培育建设点,江苏 南京 210023;
3.江苏省地理信息资源开发与利用协同创新中心,江苏 南京 210023) |
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Detection of Coastal Tidal Flat Using the Rrandom Forests Method and HJ Satellite Images |
Wang Yannan1,Wang Jianjian1,Gong Jianxin1,Yuan Shuai1,Liu Hui1,Luo Wen2,3 |
(1.Key Laboratory of Virtual Geographic Environment (Nanjing Normal University),
Ministry of Education,Nanjing 210023,China; 2.State Key Laboratory Cultivation Base
of Geographical Environment Evolution (Jiangsu Province),Nanjing 210023,China;
3.Jiangsu Center for Collaborative Innovation in Geographical Information Resource
Development and Application,Nanjing 210023,China) |
引用本文:
王艳楠,王健健,龚健新,袁帅,刘辉,罗文. 基于环境卫星数据的沿海滩涂地物类型分类的随机森林方法[J]. 遥感技术与应用, 2016, 31(6): 1107-1113.
Wang Yannan,Wang Jianjian,Gong Jianxin,Yuan Shuai,Liu Hui,Luo Wen. Detection of Coastal Tidal Flat Using the Rrandom Forests Method and HJ Satellite Images. Remote Sensing Technology and Application, 2016, 31(6): 1107-1113.
链接本文:
http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2016.6.1107
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http://www.rsta.ac.cn/CN/Y2016/V31/I6/1107
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