[1]刘云鹏,巩 睿,解春霞,等.基于Landsat遥感影像的杨树信息提取方法分析[J].江苏林业科技,2017,44(02):28-33.[doi:10.3969/j.issn.1001-7380.2017.02.007]
 LIU Yun-peng,GONG Rui,XIE Chun-xia,et al.Study on information extraction of poplar resources using Landsat remotely sensed datasets[J].Journal of Jiangsu Forestry Science &Technology,2017,44(02):28-33.[doi:10.3969/j.issn.1001-7380.2017.02.007]
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基于Landsat遥感影像的杨树信息提取方法分析()
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《江苏林业科技》[ISSN:1001-7380/CN:32-1236/S]

卷:
第44卷
期数:
2017年02期
页码:
28-33
栏目:
试验研究
出版日期:
2017-04-30

文章信息/Info

Title:
Study on information extraction of poplar resources using Landsat remotely sensed datasets
文章编号:
1001-7380(2017)02-0028-06
作者:
刘云鹏1巩 睿2解春霞1郑华英1
1. 江苏省林业科学研究院,江苏 南京 211153;
2. 南京林业大学,江苏 南京 210037
Author(s):
LIU Yun-peng1 GONG Rui2XIE Chun-xia1ZHENG Hua-ying1
1. Jiangsu Academy of Forestry, Nanjing 211153,China;
2.Nanjing Forestry University, Nanjing 210037,China
关键词:
杨树Landsat影像光谱角填图法最大似然法随机森林法森林资源信息提取
Keywords:
Populus sp. Landsat images Spectral Angle Mapping(SAM) Maximum likelihood method Random forest method Forest resources Information extraction
分类号:
S758.61; F316.23
DOI:
10.3969/j.issn.1001-7380.2017.02.007
文献标志码:
A
摘要:
该文使用近10 a 4个时相的江苏全省Landsat遥感影像,在数据预处理的基础上提取归一化植被指数、比值植被指数、土壤调节植被指数、增强型植被指数、大气阻抗植被指数等5种植被指数,并进行主成分分析。运用最大似然法、随机森林法和光谱角填图法进行分类,结合小班数据,对各方法的分类结果进行精度评价。评价结果表明,光谱角填图分类法在杨树信息提取时精度更高,对杨树的区分精度也达到42.67%。
Abstract:
In this article, five kinds of vegetation index, the first principal component and five kinds of texture features (NDVI, SR, SAVI, EVI, ARVI) were extracted on the basis of data collection from and pretreatment of Landsat remote sensing images during ten years (from 2005 to 2015) in Jiangsu Province. In combination with field survey data and kappa coefficient index analysis, three classification methods as the maximum likelihood method, the random forest method and spectral angle mapping were compared for accuracy assessment. Result showed that the spectral angle mapping method got the highest accuracy in poplar information extraction, with accuracy of 42.67%.

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备注/Memo

备注/Memo:
收稿日期:2016-09-19;修回日期:2017-03-02
基金项目:江苏省林业三新工程项目“3S技术在杨树舟蛾类食叶害虫监测中的应用”[lysx(2014)02]
作者简介:刘云鹏(1978- ),男,安徽宿州人,副研究员,博士。研究方向:森林病虫害防治。
更新日期/Last Update: 2017-05-09