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基于Landsat 8影像的西双版纳森林覆盖信息提取研究
引用本文:杨正斌,余东莉.基于Landsat 8影像的西双版纳森林覆盖信息提取研究[J].林业调查规划,2014,39(4):10-15.
作者姓名:杨正斌  余东莉
作者单位:西双版纳国家级自然保护区科研所,云南景洪,666100
摘    要:以Landsat 8影像为数据源,在综合分析典型地物光谱、纹理和空间分布等特征的基础上,利用归一化湿度指数(NDMI)、纹理、地形等多源数据,构建了基于决策树规则的西双版纳森林覆盖信息提取模型。验证结果表明,该模型的总体精度达99.08%,与传统的监督分类相比(96.08%)提高了3个百分点。

关 键 词:森林覆盖  信息提取  归一化湿度指数(NDMI)  纹理特征  Landsat影像  西双版纳

Information Extraction of Xishuangbanna Forest Coverage Based on Landsat8 Image
YANG Zheng-bin,YU Dong-li.Information Extraction of Xishuangbanna Forest Coverage Based on Landsat8 Image[J].Forest Inventory and Planning,2014,39(4):10-15.
Authors:YANG Zheng-bin  YU Dong-li
Institution:(Research Institute of Xishuangbanna National Nature Reserve, Jinghong, Yunnan 666100, China)
Abstract:Taking Landsat8 image,normalized humidity index (NDMI),textures,terrain and other multi-source as a data source,and based on a comprehensive analysis of a typical feature spectrum,texture and spatial distribution characteristics,information extraction model based on decision tree rules for Xishuangbanna forest coverage has been made.Verification results show that the overall accuracy of the model is up to 99.08%,compared with the traditional supervised classification model (96.08%),the accuracy is improved three percentage points.
Keywords:forest coverage  information extraction  normalized humidity index (NDMI)  texture  Landsat8 images  Xishuangbanna
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