基于多源遥感数据的植物物种分类与识别: 研究进展与展望

孔嘉鑫, 张昭臣, 张健

Classification and identification of plant species based on multi-source remote sensing data: Research progress and prospect

Jiaxin Kong, Zhaochen Zhang, Jian Zhang

表2 常用物种分类算法的优缺点及案例

Table 2 Advantages and disadvantages of commonly used species classification algorithms and case studies

分类算法 Species classification algorithms 优缺点 Advantages and disadvantages 案例列举 Case studies 输入数据是否需要分布假设 Does the input data need specific distribution assumption? 是否需要训练数据 Is the training data needed? 对各种分类问题的适用性 Applicability to different kinds of species classifications 算法复杂性和计算成本 Algorithmic complexity and computational cost 可操作性 Is it easy to use for ecologists? 支持向量机 Support Vector Machine (SVM) 否 No 较少 Less 较高 High 较高 High 容易 Easy Féret & Asner, 2012; 陈向宇等, 2019 随机森林 Random Forest (RF) 否 No 较少 Less 较高 High 较低 Low 容易 Easy Naidoo et al, 2012; 傅锋等, 2019 最大似然分类 Maximum Likelihood Classifiers (MLC) 是 Yes 较多 More 较高 High 较高 High 容易 Easy Dymond et al, 2002; 汪少华和杨婷, 2018 判别式分析 Discriminant Analysis (DA) 是 Yes 较多 More 较高 High 较低 Low 容易 Easy Kim et al, 2009; Hovi et al, 2016 k-最近邻分类 k-Nearest Neighbor (KNN) 否 No 否 No 较高 High 较高 High 容易 Easy Jia et al, 2014; 王二丽等, 2017 人工神经网络 Artificial Neural Networks (ANN) 否 No 较多 More 较高 High 较高 High 较难 Difficult Onishi & Ise, 2018; 滕文秀等, 2019 光谱角制图 Spectral Angle Mapper (SAM) 否 No 否 No 较低 Low 较高 High 容易 Easy Clark et al, 2005; 杨可明等, 2015 广义线性模型 Generalized Linear Model (GLM) 是 Yes 否 No 较低 Low 较高 High 较难 Difficult Waser et al, 2011; Engler et al, 2013 分类和回归树 Classification and regression tree (CART) 否 No 较少 Less 较高 High 较低 Low 容易 Easy Friedl & Brodley, 1997; Pu & Landry, 2012 贝叶斯分类算法 Bayesian Classifiers 否 No 否 No 较高 High 较低 Low 容易 Easy Saatchi & Rignot, 1997; 李想等, 2018