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遥感技术与应用  2008, Vol. 23 Issue (4): 394-397    DOI: 10.11873/j.issn.1004-0323.2008.4.394
技术研究与图像处理     
基于分区和多时相遥感数据的山区植被分类研究
竞霞1,2,王锦地1,王纪华2,黄文江2,刘良云2
(1.北京师范大学地理学与遥感科学学院,北京 100875;
2.国家农业信息化工程技术研究中心,北京 100097)
Classifying Forest Vegetation Using Sub-region Classification Based on Multi-temporal Remote Sensing Images 
JING Xia 1,2,WANG Jin-di 1,WANG Ji-hua 2,HUANG Wen-jiang 2,LIU Liang-yun 2
(1.School of Geography,Beijing Normal University,Beijing 100875,China;2.National Engineering Research Center for Information Technology in Agriculture,Beijing 100097,China)
 全文: PDF(757 KB)  
摘要:

山区地形的特殊性导致了山区植被分类的复杂性。位于不同光照区域的同种植被,其光谱亮度值具有较大差异,分区使分类规则及阈值的设计更具针对性。多时相遥感数据能够充分利用不同植被类型间光谱特征时间效应。基于此提出了利用分区和多时相遥感数据进行山区植被的分类研究。研究表明,该方法在山区植被分类中具有明显的技术优势,分类总体精度和kappa系数分别为81.3%和0.72。

关键词: 分区多时相遥感森林植被分类    
Abstract:

It is very difficult to classify forest vegetation in mountain areas because of the impact of complex terrain.In this paper a new method,sub-region classification based on multi-temporal remote sensing images,is proposed to deal with the classification of forest vegetation.Firstly,sunshiny and shadowy region was classified using terrain factors and reflectance data.This technology could avoid the problem of "different spectrum with the same feature" and "different feature with the same spectrum" in some region.Secondly,the forest vegetation could get better classification precision by avoiding the interactions of different plants with multi-temporal images.So it was enhanced that the separability of coniferous forest and broadleaf forest.Finally,the classification result showed that accuracy could be greatly improved by using sub-region classification based on multi-temporal remote sensing images.The overall accuracy and kappa coefficient was 81.3% and 0.72,respectively.So the method delivered in this essay has obviously technological advantages and important application potentiality in forest vegetation classification.

Key words: Sub-region    Multi-temporal    Remote sensing    Forest vegetation    Classification
收稿日期: 2008-03-17 出版日期: 2011-11-03
:  TP 79  
基金资助:

北京市自然科学基金(4071002、6062019);农业部948项目(2006-G63);国家863项目(2007AA10Z201)资助。

作者简介: 竞霞(1978-),女,博士研究生,主要从事环境资源遥感应用研究。E-mail:jingxia1001@163.com。
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引用本文:

竞霞,王锦地,王纪华,黄文江,刘良云. 基于分区和多时相遥感数据的山区植被分类研究[J]. 遥感技术与应用, 2008, 23(4): 394-397.

JING Xia,WANG Jin-di,WANG Ji-hua,HUANG Wen-jiang,LIU Liang-yun. Classifying Forest Vegetation Using Sub-region Classification Based on Multi-temporal Remote Sensing Images . Remote Sensing Technology and Application, 2008, 23(4): 394-397.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2008.4.394        http://www.rsta.ac.cn/CN/Y2008/V23/I4/394

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