西北林学院学报2018，Vol.33Issue(3)：208-213,6.DOI:10.3969/j.issn.1001-7461.2018.03.32
基于地面成像光谱数据特征的湿地典型植被类型识别研究——以东洞庭湖核心区湿地为例
Identifying Typical Wetland Vegetation Types Based on Imaging Spectrometer Data: A Case Study in Dongdongting Lake Wetland Area
摘要
Abstract
In order to accurately recognize the vegetation types,spectral information of typical wetland vegetation spectral data was collected by SOC710VP in the core region of the wetland reserve of east Dongting Lake,Hunan province.The first derivative analysis method and the envelope removal method were adopted to analyze the spectral characteristics of the vegetations in the region.By using Fisher linear discriminant function to identify wetland vegetation types,the total classification accuracy reached 88.59％,Kappa coefficient was 0.8247.The recognition accuracy for Carex was the highest (93.55％),followed by Brassica chinensis (92.31％),weeds (86.11％),and the recognition accuracy of Artemisia annua was low (80.65％).The results indicated that the spectral characteristics of the vegetation spectra obtained from the imaging spectral data had good universality and reliability,and it could provide a scientific basis for the identification of wetland vegetation.关键词
遥感/成像高光谱数据/光谱分析/湿地植被/植被类型识别Key words
remote sensing/imaging spectrometer data/dpectrum analysis/wetland vegetation/classification of wetland vegetation分类
农业科技引用本文复制引用
凌成星,刘华,鞠洪波,张怀清,孙华,由佳,李伟娜..基于地面成像光谱数据特征的湿地典型植被类型识别研究——以东洞庭湖核心区湿地为例[J].西北林学院学报,2018,33(3):208-213,6.基金项目
中央级公益性科研院所基本科研业务费专项资金项目(IFRIT201505). （IFRIT201505）
