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作 者:阮胜权 王新广[1] 李勃燃 RUAN Shengquan;WANG Xinguang;LI Boran(Academy of Prospecting of Tianjin,Tianjin 300110,China)
机构地区:[1]天津市勘察院,天津300110
出 处:《测绘与空间地理信息》2021年第1期96-98,共3页Geomatics & Spatial Information Technology
摘 要:利用无人机在研究区域内采集了红树林分类的训练样本点,基于资源三号高分影像对红树林进行分类。首先采用面向对象的方法,建立决策树对保护区内红树林进行提取。之后基于面向对象法对红树林区域进行种间分类,分析保护区内红树林种群空间分布格局。研究表明,红树林种间分类精度达到76.67%,总体Kappa系数为0.68,结果具有高度一致性。本文为红树林自然保护区的管理提供理论支撑,为红树林湿地保护和生态恢复提供科学依据。In this paper,the training sample points of mangrove classification are collected by UAV in the study area,and the mangrove classification is based on the high-resolution image of ZY-3.Firstly,the decision tree is established to extract mangrove in the reserve by object-oriented method.Then,based on the object-oriented method,we classify the mangrove areas and analyze the spatial distribution pattern of mangrove population in the reserve.The results showed that the accuracy of classification was 76.67%,and the kappa coefficient was 0.68.This paper provides theoretical support for mangrove natural reserve management and scientific basis for mangrove wetland protection and ecological restoration.
分 类 号:P237[天文地球—摄影测量与遥感]
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