[1]徐晗泽宇,刘 冲,齐述华*,等.基于随机森林算法的赣南柑橘果园遥感信息提取[J].江西师范大学学报(自然科学版),2018,(04):434-440.[doi:10.16357/j.cnki.issn1000-5862.2018.04.20]
 XU Hanzeyu,LIU Chong,QI Shuhua*,et al.The Detection of Citrus Orchards in Southern Jiangxi Province with Landsat Images Using Random Forest Classifier[J].Journal of Jiangxi Normal University:Natural Science Edition,2018,(04):434-440.[doi:10.16357/j.cnki.issn1000-5862.2018.04.20]
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基于随机森林算法的赣南柑橘果园遥感信息提取()

《江西师范大学学报》(自然科学版)[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2018年04期
页码:
434-440
栏目:
出版日期:
2018-08-20

文章信息/Info

Title:
The Detection of Citrus Orchards in Southern Jiangxi Province with Landsat Images Using Random Forest Classifier
文章编号:
1000-5862(2018)04-0434-07
作者:
徐晗泽宇1; 刘 冲2; 齐述华1; 2; 3*; 赵国帅4
1.江西师范大学地理与环境学院,江西 南昌 330022; 2.江西师范大学鄱阳湖湿地与流域研究教育部重点实验室,江西 南昌 330022; 3.江西省鄱阳湖流域资源利用与综合治理重点实验室,江西 南昌 330022; 4.福建省林业调查规划院,福建 福州 350003
Author(s):
XU Hanzeyu1; LIU Chong2; QI Shuhua1; 2; 3*; ZHAO Guoshuai4
1.School of Geography and Environment,Jiangxi Normal University,Nanchang Jiangxi 330022,China; 2.Key Laboratory of Poyang Lake Wetland and Watershed Research,Ministry of Education,Jiangxi Normal University,Nanchang Jiangxi 330022,China; 3.Jiangxi Provinci
关键词:
遥感;  分类;  随机森林;  赣南;  柑橘果园
Keywords:
remote sensing;  classifier;  random forest;  Gannan;  citrus orchard
分类号:
TP 391.4
DOI:
10.16357/j.cnki.issn1000-5862.2018.04.20
文献标志码:
A
摘要:
选择春、秋季低云量Landsat-8卫星遥感影像,构建包含有多光谱地表反射率、光谱指数、几何纹理和地形因子的分类特征集,通过随机森林分类算法开展赣南柑橘果园空间分布遥感制图研究.研究结果表明:利用春季影像提取的柑橘果园整体精度为91.12%,Kappa系数为0.88,优于秋季影像提取结果; 随机森林算法在赣南柑橘果园识别制图中具有较高的分类精度和较好的适用性,利用降维的分类特征提取柑橘果园也具有较高精度; 赣南柑橘果园面积约1 794.26 km2,具有一定比例的陡坡种植现象,寻乌、信丰、安远等3县的柑橘果园呈现规模化、连片化的景观.
Abstract:
Several Landsat OLI images acquired in spring and autumn are selected to map citrus orchards distribution.Random Forest(RF)classifier is utilized to implement a supervised classification on the dataset including multi-spectral reflectance,vegetation and moisture indices,texture information and topographic features.The results show that classification with spring image is successful with an overall accuracy(OA)of 91.12% and a Kappa statistic of 0.88.And it is superior to that with autumn images.RF is highly suitable for the identi-fication and classification of citrus orchards.And classification with an optimal subset of discrimination features is also acceptable with a high accuracy.The area of citrus orchards is about 1 794.26 km2 and a certain proportion of citrus orchards is cultivated on steep slopes.The landscape characteristics of citrus orchards in some counties such as Xunwu,Xinfeng and Anyuan became single,continuous and massive.

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备注/Memo

备注/Memo:
收稿日期:2018-01-25
基金项目:国家自然科学基金(41261069)和江西省重大生态安全问题监控协同创新中心(JXS-EW-00)资助项目.
通信作者:齐述华(1973-),男,江西婺源人,教授,博士,主要从事生态环境遥感应用研究.E-mail: qishuhua11@163.com
更新日期/Last Update: 2018-08-20