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Position: Home > Articles > Analysis of T&N Band Advantage in Tree Species Classification based on Worldview-2 Journal of West China Forestry Science 2019,48 (3) 41-46

Worldview-2树种分类T&N波段优势分析

作  者:
刘怀鹏;安慧君
单  位:
内蒙古农业大学林学院;洛阳师范学院
关键词:
Worldview-2数据;城市绿化树种;传统波段;新增波段;最大似然分类
摘  要:
分析遥感影像不同类型波段在树种分类中的表现,可为遥感数据光谱信息的深度挖掘提供基础信息.本研究以8波段Worldview-2影像为数据源,将光谱波段分为传统波段和新增波段两种类型,在室外调查的基础上利用最大似然法对树种进行分类,分析传统波段、 新增波段及完整波段在树种识别中的精度差异.结果表明:传统波段对树种分类的总体精度(63.3482%)不及新增波段的(67.6696%)高,完整波段分类的总体精度最高(74.0713%).本研究表明,在树种识别中,Worldview-2新增波段比传统波段更具优势,两类波段的充分结合,更有利于树种的识别.
译  名:
Analysis of T&N Band Advantage in Tree Species Classification based on Worldview-2
作  者:
LIU Huai-peng;AN Hui-jun;School of Land and Tourism,Luoyang Normal University;College of Forestry,Inner Mongolia Agricultural University;
关键词:
Worldview-2 data;;tree species for urban greening;;traditional bands;;new additional bands;;maximum likelihood classification
摘  要:
In tree species classifications,analyzing the performance of different types of bands in remote sensing images can provide a basic information for image spectral information mining.By taking 8 bands of Worldview-2 image as the data source,the spectral bands were divided into two types,namely the traditional bands and the new additional bands.On the basis of outdoor investigation,tree species classification was carried out by maximum likelihood method,and the difference of overall accuracy among traditional bands,new additional bands and complete bands in tree species identification were analyzed.The results showed that in tree species classification,the overall accuracy of the traditional bands(63.348 2%)was not as high as that of the new additional bands(67.669 6%),and the overall accuracy of the whole band classification has the highest overall accuracy(74.071 3%).It showed that the new additional bands of Worldview-2 have more advantages than traditional bands in tree species identification,and the full combination of these two types bands were more conducive to improve the overall accuracy in tree species identification.
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