热带海洋学报 ›› 2012, Vol. 31 ›› Issue (6): 128-134.doi: 10.11978/j.issn.1009-5470.2012.06.020cstr: 32234.14.j.issn.1009-5470.2012.06.020

• 海洋遥感 • 上一篇    

基于SPOT5的红树林遥感分类*

苏岫1, 赵冬至1, 王祥1,2, 钟才荣3   

  1. 1. 国家海洋环境监测中心, 辽宁 大连 116023; 2. 大连海事大学, 辽宁 大连 116026; 3.东寨港国家级自然保护区管理局, 海南 海口 571129
  • 收稿日期:2013-02-06 修回日期:2012-05-22 出版日期:2012-12-01 发布日期:2013-02-06
  • 通讯作者: 赵冬至。E-mail: dzzhao@nmemc.gov.cn。*感谢海南东寨港国家级自然保护区管理局李诗川助理工程师在论文写作过程中给予的巨大帮助。
  • 作者简介:作者简介:苏岫(1984—), 女, 辽宁省辽阳市人, 助理研究员, 硕士研究生, 毕业于辽宁师范大学城市与环境学院, 主要从事于海域使用动态和海洋生态环境遥感方面的研究。
  • 基金资助:
    基金项目:“908”专项(908-01-WY01)

Remote sensing classification of mangrove based on SPOT5 image

SU Xiu1, ZHAO Dong-zhi1, WANG Xiang1,2, ZHONG Cai-rong3   

  1. 1. National Marine Environmental Monitoring Center, Dalian 116023, China; 2. Dalian Maritime University, Dalian 116023, China; 3. Hainan Dongzhaigang National Mangrove Reserve Board, Haikou 571129, China
  • Received:2013-02-06 Revised:2012-05-22 Online:2012-12-01 Published:2013-02-06

摘要: 以海南岛东寨港国家级红树林自然保护区为例, 实地测量了红树林等地物光谱, 获取了较为准确的红树林的光谱特征; 在采用最大似然分类法提纯红树林信息基础上, 结合不同红树种类的光谱特征及植被指数差异, 选定可分性阈值, 建立决策树分类规则, 对SPOT5图像进行种间分类, 并检验其分类精度。结果显示, 各红树种类的使用精度都达到80%以上, 且总体精度达到90%以上, 为红树林生态系统业务化遥感监测奠定基础。

关键词: SPOT5卫星影像, 红树林, 光谱特征, 遥感分类

Abstract: Taking the Dongzhaigang National Mangrove Reserve in Hainan Island as example, we executed field measurements to obtain mangrove spectral data. On the basis of maximum likelihood classification purification mangrove information, combining with different kinds of mangrove spectral features and vegetation index difference, selected separability threshold, we established decision-making tree classification rule of SPOT5 images based on images between classifications, and tested its classification accuracy. Classification result shows that accuracy for each mangrove type reached 80% and the total accuracy added up to 90%. This research offers a foundation for operational remote sensing monitoring of mangrove ecosystem.

Key words: SPOT5 satellite image, mangrove, spectral feature, remote sensing classification

中图分类号: 

  • TP75