基于WorldView-2的红树林种群分类——以深圳湾为例
computer engineering & Software(2020)
Abstract
本文以WorldView-2多光谱遥感影像数据为数据源,选取深圳湾地区的红树林自然保护区为研究区域,基于ENVI5.3选用神经网络、支持向量机和随机森林三种分类方法对该区域的红树林进行种群分类,并对分类结果进行了对比分析.结果表明:随机森林分类法总体精度为73.6842%Kappa系数为0.6780,优于其余两种分类法.
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