南京信息工程大学学报2011，Vol.3Issue(4)：341-345,5.
基于知识与规则的红树林遥感信息提取
Remote sensing information extraction of mangrove based on knowledge and rules
摘要
Abstract
The classification accuracy of mangrove is always low due to the similarity of spectra between mangrove and land vegetation, especially water-vegetation mixed pixels. Greenness index and wetness index were extracted based on TM imagery, which can effectively reflect the wetland characteristics of mangrove. The greenness index and wetness index can significantly improve the separability between mangrove and water-vegetation mixed pixels by comparison with NDVI, TM3/TM5, TM5/TM4, which always were employed by other researchers. Knowledge and rules method can significantly increase the classification accuracy of mangrove, compared with conventional classification features and method employed by other researchers. And the Kappa coefficient increased 0. 10 while commission error of mangrove class decreased 16. 1 percent by using decision tree method.关键词
红树林/绿度/湿度/知识与规则/K-T变换Key words
mangrove/greenness/wetness/knowledge and rules/K-T transformation分类
信息技术与安全科学引用本文复制引用
张雪红..基于知识与规则的红树林遥感信息提取[J].南京信息工程大学学报,2011,3(4):341-345,5.基金项目
国家自然科学基金(40971186) （40971186）
