| 基于无人机高光谱影像和机器学习的红树林树种精细分类 |
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| 引用本文： | 姜玉峰,齐建国,陈博伟,闫敏,黄龙吉,张丽. 基于无人机高光谱影像和机器学习的红树林树种精细分类[J]. 遥感技术与应用, 2021, 36(6): 1416-1424. DOI: 10.11873/j.issn.1004-0323.2021.6.1416 |
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| 作者姓名： | 姜玉峰 齐建国 陈博伟 闫敏 黄龙吉 张丽 |
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| 作者单位： | 1.山东农业大学 信息科学与工程学院测绘系，山东 泰安 271018;2.中国科学院空天信息创新研究院，数字地球重点实验室，北京 100090;3.海南东寨港国家级自然保护区管理局，海南 海口 571129 |
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| 基金项目： | 中国科学院战略性先导科技专项（A类）(XDA13020506);国家自然科学基金项目(41771392) |
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| 摘 要： | 利用海南省文昌市清澜港红树林保护区的无人机高光谱影像,采用递归特征消除的随机森林算法(Recursive Feature Elimination-Random Forest,RFE-RF)优选植被光谱特征和纹理特征,通过机器学习中的随机森林(Random Forest,RF)和支持向量机(Support Vector ...
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| 关 键 词： | 机器学习 随机森林 高光谱 特征提取 精细分类 |
| 收稿时间： | 2020-10-27 |
Classification of Mangrove Species with UAV Hyperspectral Imagery and Machine Learning Methods |
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| Yufeng Jiang,Jianguo Qi,Bowei Chen,Min Yan,Longji Huang,Li Zhang. Classification of Mangrove Species with UAV Hyperspectral Imagery and Machine Learning Methods[J]. Remote Sensing Technology and Application, 2021, 36(6): 1416-1424. DOI: 10.11873/j.issn.1004-0323.2021.6.1416 |
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| Authors: | Yufeng Jiang Jianguo Qi Bowei Chen Min Yan Longji Huang Li Zhang |
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| Abstract: | In this paper， we used the UAV hyperspectral images of the mangrove reserve at Qinglan Harbor， Wenchang， Hainan Province， and then preferentially selected vegetation spectral features and texture feature variables using Recursive Feature Elimination-Random Forest （RFE-RF）. We further used the Random Forest （RF） and Support Vector Machine （SVM） algorithms to classify the mangrove tree species in the study area， and further the results of the classification model parameters on the overall accuracy were analyzed and evaluated. The results showed that the overall accuracy of RF classification was 92.70% and the Kappa coefficient was 0.91. Compared with the traditional SVM classification method， RF improved the producer accuracy and user accuracy of five types of tree species， which could effectively classify mangrove tree species and provide technical support for germplasm resource planning and ecological environmental protection. |
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| Keywords: | Machine learning Random forest Hyperspectral Feature extraction Species classification |
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