遥感技术与应用 2021, Vol. 36 Issue (6): 1416-1424 DOI: 10.11873/j.issn.1004-0323.2021.6.1416 |
遥感应用 |
|
|
|
|
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 |
姜玉峰1,2(),齐建国1,陈博伟2,闫敏2,黄龙吉3,张丽2() |
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 |
|
Classification of Mangrove Species with UAV Hyperspectral Imagery and Machine Learning Methods |
Yufeng Jiang1,2(),Jianguo Qi1,Bowei Chen2,Min Yan2,Longji Huang3,Li Zhang2() |
1.Department of Surveying and Mapping,School of Information Science and Engineering,Shandong Agricultural University,Tai'an 271018,China 2.Key Laboratory of Digital Earth Science,Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing 100094,China 3.Hai Nan Dong Zhai Gang National Nature Reserve Authority,Haikou 571129,China |
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.
Yufeng Jiang,Jianguo Qi,Bowei Chen,Min Yan,Longji Huang,Li Zhang. Classification of Mangrove Species with UAV Hyperspectral Imagery and Machine Learning Methods. Remote Sensing Technology and Application, 2021, 36(6): 1416-1424.
链接本文:
http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2021.6.1416
或
http://www.rsta.ac.cn/CN/Y2021/V36/I6/1416
|
1 |
Lin Peng. A review on the mangrove research in china[J]. Journal of Xiamen University (Natural Science Edition),2001,40(2):592-603.
|
1 |
林鹏.中国红树林研究进展[J].厦门大学学报(自然科学版),2001,40(2):592-603.
|
2 |
Wang Yan. The significance and proposal of mangrove protection[J]. Forest Engineering,2008(4):19-20,57.
|
2 |
王燕.红树林保护的意义和建议[J].森林工程,2008(4):19-20,57.
|
3 |
Marois D E, Mitsch W J. Coastal protection from tsunamis and cyclones provided by mangrove wetlands-a review[J]. International Journal of Biodiversity Science,Ecosystem Services & Management,2015,11(1):71-83. DOI:10.1080/21513732. 2014.997292.
doi: 10.1080/21513732. 2014.997292
|
4 |
Giri C, Ochieng E, Tieszen L L, et al. Status and distribution of mangrove forests of the world using earth observation satellite data[J]. Global Ecology and Biogeography, 2011, 20(1): 154-159. DOI: 10.1111/j.1466-8238.2010.00584.x.
doi: 10.1111/j.1466-8238.2010.00584.x
|
5 |
Liu Huaipeng. Typical urban greening tree species classification based on WorldView-2[D]. Huhhot:Inner Mongdio:Inner Mongolia Agricultural University,2016.刘怀鹏. 基于WorldView-2数据的城市典型绿化树种分类[D].呼和浩特:内蒙古农业大学,2016.
|
6 |
Zhang Heng, Wang Shixin, Zhou Yi, et al. Comparison of different methods of mangrove extraction from multi-source remote sensing images[J]. Wetlang Science,2015,13(2):145-152.
|
6 |
章恒,王世新,周艺,等.多源遥感影像红树林信息提取方法比较[J]. 湿地科学,2015,13(2):145-152.
|
7 |
Xiao Weishan, Wang Xiaoqin, Ling Feilong. The application of ALOS PALSAR data on mangrove forest extraction[J]. Remote Sensing Technology and Application,2010,25(1):91-96.
|
7 |
肖伟山,汪小钦,凌飞龙.ALOS PALSAR数据在漳江口红树林提取中的应用[J].遥感技术与应用,2010,25(1):91-96.
|
8 |
Li Xiang, Liu Kai, Zhu Yuanhui, et al. Study on mangrove species classification based on ZY-3 image[J]. Remote Sensing Technology and Application,2018,33(2):360-369.
|
8 |
李想,刘凯,朱远辉,等.基于资源三号影像的红树林物种分类研究[J].遥感技术与应用,2018,33(2):360-369.
|
9 |
Feng Jiali,Liu Kai,Zhu Yuanhui,et al.Application of unmanned aerial vehicles to mangrove resources monitoring[J].Tropical Geography,2015,35(1):35-42.
|
9 |
冯家莉,刘凯,朱远辉,等.无人机遥感在红树林资源调查中的应用[J].热带地理,2015,35(1):35-42.
|
10 |
Cui Xiaofang, Liu Zhengjun. Wetland vegetation classification based on object-based classification method and multi-source remote sensing images[J]. Geomatics & Spatial Information,Technology,2018,41(8):113-116.
|
10 |
崔小芳,刘正军.基于随机森林分类方法和多源遥感数据的湿地植被精细分类[J].测绘与空间地理信息,2018,41(8):113-116.
|
11 |
Zhang Run, Wang Yongbin. Research on machine learning with algorithmand development[J]. Journal of Communication University of China(Science and Technology Edition),2016,23(2):10-18.
|
11 |
张润, 王永滨. 机器学习及其算法和发展研究[J]. 中国传媒大学学报:自然科学版,2016,23(2):10-18.
|
12 |
Xing Jin. Comparative analysis of machine learning algorithms for land cover classification in high-resolution remote sensing images[J]. Gansu Science and Technology,2020,36(3):27-34.
|
12 |
邢瑾. 机器学习算法在高分辨率遥感影像土地覆被分类中的对比分析[J]. 甘肃科技,2020,36(3):27-34.
|
13 |
He Z, Shi Q, Liu K, et al. Object-oriented mangrove species classification using hyperspectral data and 3 D siamese residual network[J]. IEEE Geoscience and Remote Sensing Letters,2020,17(12):2150-2154.DOI:10.1109/LGRS.2019.2962723.
doi: 10.1109/LGRS.2019.2962723
|
14 |
Zhai Junhai, Zhao Wenxiu, Wang Xizhao. Research on image feature extraction[J]. Journal of Hebei University (Natural Science Edition), 2009,29(1):106-112.
|
14 |
翟俊海,赵文秀,王熙照.图像特征提取研究[J].河北大学学报(自然科学版),2009,29(1):106-112.
|
15 |
Yan Kesheng, Li Taifu, Wei Zhengyuan, et al. Feature selection for data classification based on pls supervised feature extraction and false nearest neighbors[J]. Computer and Applied Chemistry,2012,29(7):817-821.
|
15 |
颜克胜,李太福, 魏正元,等.融合PLS监督特征提取和虚假最近邻点的数据分类特征选择[J].计算机与应用化学,2012,29(7):817-821.
|
16 |
Pan Chen, Du Peijun, Luo Yan, et al. Decision tree classification of remote sensing images based on vegetation indices[J]. Computer Applications,2009,29(3):777-780.
|
16 |
潘琛, 杜培军, 罗艳,等. 一种基于植被指数的遥感影像决策树分类方法[J]. 计算机应用,2009,29(3):777-780.
|
17 |
Dezhi W, Bo W, Penghua Q, et al. Artificial mangrove species mapping using pléiades-1: an evaluation of pixel-based and object-based classifications with selected machine learning algorithms[J]. Remote Sensing,2018,10(2):294. DOI:10.3390/rs10020294.
doi: 10.3390/rs10020294
|
18 |
Dong Di, Zeng Jisheng, Wei Zheng, et al. Integrating spaceborne optical and SAR imagery for monitoring mangroves and Spartina alterniflora in Zhangjiang Estuary [J]. Journal of Tropical Oceanography,2020,39(2):107-117.
|
18 |
董迪, 曾纪胜,魏征,等.联合星载光学和SAR影像的漳江口红树林与互花米草遥感监测[J].热带海洋学报,2020,39(2):107-117.
|
19 |
Wu Chenwen, Liang Jinghan, Wang Wei, et al. Random forest algorithm based on recursive feature elimination[J]. Statistics and Decision Making,2017(21):60-63.
|
19 |
吴辰文,梁靖涵,王伟,等.基于递归特征消除方法的随机森林算法[J].统计与决策,2017(21):60-63.
|
20 |
Liu Shu, Jiang Qigang, Ma Yue, et al. Object-oriented wetland classification based on hybrid feature selection method combining with relief F, multi-objective genetic algorithm and random forest[J]. Transactions of The Chinese Society of Agricultural Machinery ,2017,48(1):119-127.
|
20 |
刘舒,姜琦刚,马玥,等.基于多目标遗传随机森林特征选择的面向对象湿地分类[J].农业机械学报,2017,48(1):119-127.
|
21 |
HeYuanhuizi, Wang Changlin, Jia Huicong, et al. Research on extraction of winter wheat based on random forest[J]. Remote Sensing Technology and Application,2018,33(6):1132-1140.
|
21 |
贺原惠子,王长林,贾慧聪,等.基于随机森林算法的冬小麦提取研究[J].遥感技术与应用,2018,33(6):1132-1140.
|
22 |
Zhang Xuegong. Interoduction to statistical learning theory and support vector machines[J]. Acta Automatica Sinica,2000,26(1):36-46.
|
22 |
张学工.关于统计学习理论与支持向量机[J].自动化学报,2000,26(1):36-46.
|
23 |
Feng Guohe. Parameter optimizing for Support Vector Machines classification[J]. Computer Engineering and Applications,2011,47(3):123-124,128.
|
23 |
奉国和.SVM分类核函数及参数选择比较[J].计算机工程与应用,2011,47(3):123-124,128.
|
24 |
Liu Zhigang,Li Deren,Qin Qianqing,et al. An analytical overview of methods for multi-category support vector machines[J]. Computer Engineering and Applications, 2004(7):10-13,65.
|
24 |
刘志刚,李德仁,秦前清,等.支持向量机在多类分类问题中的推广[J].计算机工程与应用,2004(7):10-13,65.
|
25 |
Gu Xiaotian, Gao Xiaohong, Ma Huijuan, et al. Comparison of machine learning methods for land use/land cover classification in the complicated terrain regions[J]. Remote Sensing Technology and Applications,2019,34(1):57-67.
|
25 |
谷晓天,高小红,马慧娟,等.复杂地形区土地利用/土地覆被分类机器学习方法比较研究[J].遥感技术与应用,2019,34(1):57-67.
|
26 |
Miao Yuhong,Yang Min,Wu Guojun. Sophisticated vegetation classification based on multi-dimensional features of hyperspectral image[J]. Journal of Atmospheric and Environmental Optics,2020,15(2):117-124.
|
26 |
苗宇宏,杨敏,吴国俊.基于高光谱影像多维特征的植被精细分类[J].大气与环境光学学报,2020,15(2):117-124.
|
27 |
Ren Chong. Forest types precise classification and forest resources change monitoring based on medium and high spatial resolution remote sensing images[D]. Beijing: Chinese Academy of Forestry, 2016.
|
27 |
任冲.中高分辨率遥感影像森林类型精细分类与森林资源变化监测技术研究[D]. 北京:中国林业科学研究院,2016.
|
28 |
Xu Wenning, Wang Pengxin, Han Ping, et al. Application of kappa coefficients to accuracy assessments of drought forecasting models: a case study of Guanzhong Plain[J]. Journal of Natural Disasters,2011,20(6):81-86.
|
28 |
许文宁,王鹏新,韩萍,等.Kappa系数在干旱预测模型精度评价中的应用——以关中平原的干旱预测为例[J].自然灾害学报,2011,20(6):81-86.
|
29 |
Zhou Zaiming,Chen Benqing,Xu Ran, et al. Identification of the mangrove species using UAV hyperspectral images: a case study of Zhangjiangkou mangrove national nature reserve[J]. Haiyang Xuebao,2021,43(9):137-145.
|
29 |
周在明,陈本清,徐冉,方维.基于无人机高光谱特征的红树林种群识别研究——以漳江口红树林国家级自然保护区为例[J].海洋学报,2021,43(9):137-145.
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
|
Shared |
|
|
|
|
|
Discussed |
|
|
|
|