{"title":"Identification of Mangrove Using Decision Tree Method","authors":"Xuehui Zhang","doi":"10.1109/ICIC.2011.70","DOIUrl":null,"url":null,"abstract":"The classification accuracy of mangrove is always low due to the similarity of spectra between mangrove and water-vegetation mixed pixels. Greenness and wetness were extracted by K-T transformation based on Landsat5/TM imagery. The greenness and wetness 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. The Kappa coefficient, commission error of mangrove class were 0.90, 7.9%, respectively, by using decision tree method.","PeriodicalId":6397,"journal":{"name":"2011 Fourth International Conference on Information and Computing","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2011-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 Fourth International Conference on Information and Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIC.2011.70","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
The classification accuracy of mangrove is always low due to the similarity of spectra between mangrove and water-vegetation mixed pixels. Greenness and wetness were extracted by K-T transformation based on Landsat5/TM imagery. The greenness and wetness 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. The Kappa coefficient, commission error of mangrove class were 0.90, 7.9%, respectively, by using decision tree method.
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