Please wait a minute...
img

Wechat

Remote Sensing Technology and Application  2010, Vol. 25 Issue (5): 687-694    DOI: 10.11873/j.issn.1004-0323.2010.5.687
article     
Deriving Vegetation Information in Ulan Buh Desert Based on Texture
SHAO Xiao-min,LIU Yong
(Institute of Remote Sensing and Geographic Information System,
Lanzhou University,Lanzhou 730000,China)
Download:  PDF (886KB) 
Export:  BibTeX | EndNote (RIS)      
Abstract  

Ulan Buh Desert is one of Chinas major deserts.In recent years its rapid expansion has seriously affected the local ecological security.Desert vegetation is the most important ecological protection barrier in this region.Gaining the knowledge accurately of the distribution of vegetation is important.Calculated NDVI,and integrated principal component analysis combined with Gray Level Co\|occurrence Matrix texture analysis to analysis the ALOS image in the reserch area.Using NDVI and mean texture as the classification indices,the article determined the appropriate threshold range,and abstracted the vegetation information by using the decision tree method.The result shows that the decision tree method could use texture and other auxiliary information effectively,and achieve better classification results compared with traditional classification method.

Key words:  NDV      ;Principal component analysis      Gray level co-occurrence matrix      Ulan Buh Desert      Desert vegetation      Decision tree classification     
Received:  28 April 2010      Published:  30 October 2013
Service
E-mail this article
Add to my bookshelf
Add to citation manager
E-mail Alert
RSS
Articles by authors
SHAO Xiao-Min
LIU Yong

Cite this article: 

SHAO Xiao-Min, LIU Yong. Deriving Vegetation Information in Ulan Buh Desert Based on Texture. Remote Sensing Technology and Application, 2010, 25(5): 687-694.

URL: 

http://www.rsta.ac.cn/EN/10.11873/j.issn.1004-0323.2010.5.687     OR     http://www.rsta.ac.cn/EN/Y2010/V25/I5/687

[1]Zhao Gengxing,Dou Yixiang,Tian Wenxin,et al.Study on Automatic Abstraction Methods of Cultivated Land Information from Satellite Remote Sensing Images[J].Scientia Geographica Sinica,2001,21(3):224-229.[赵庚星,窦益湘,田文新,等.卫星遥感影像中耕地信息的自动提取方法研究[J] .地理科学,2001,21(3):224-229.]
[2]Zhao Rui.Monitoring and Yield Estimation of Rice Using Remote Sensing in China[M].Beijing:Science and Technology of China Press,1996.[赵锐.中国水稻遥感动态监测与估产[M].北京:中国科学技术出版社,1996.]
[3]Deng Kun,Chang Qingrui,Wei Lin,et al.Extracting Land Use Information of TM Image in Wind-water Erosion Interlaced Region Based on Texture[J].Journal of Northwest A &F University (Natural Science Edition),2009,37(1):91-98.[邓锟,常庆瑞,蔚霖,等.基于纹理的风蚀水蚀过渡区TM影像土地利用信息提取[J].西北农林科技大学学报(自然科学版),2009,37(1):91-98.]
[4]Yan Meichun,Zhang Youjing,Bao Yansong.Deriving Bamboos from IKONOS Image by Texture Information[J].Remote Sensing Information,2004,(2):31-35.[颜梅春,张友静,鲍艳松.基于灰度共生矩阵法的IKONOS 影像中竹林信息提取[J].遥感信息,2004,(2):31-35.]
[5]Zhao Yingshi.Principles and Methods of Analysis of Remote Sensing Applications[M].Beijing:Science Press,2003,374-375.[赵英时.遥感应用分析原理与方法[M].北京:科学出版社,2003,374-375.]
[6]Jensen J R.Trans,Chen Xiaoling,et al.Introductory Digital Image Processing (the Third Version of the Original Book)[M].Beijing:Machinery Industry Press,2007,281-285.[(美)延森(Jensen J R)著,陈晓玲等译.遥感数字影像处理导论(原书第3版)[M].北京:机械工业出版社,2007,281-285.]
[7]Wang Hui,Wang Keqi,Bai Xuebing.The Research on Wood Texture Classification in Noise Environment[J].Forestry Machinery & Wood Working Equipment,2006,34(10):13-15.[王辉,王克奇,白雪冰.噪声环境下木材纹理分类的研究[J].林业机械与木工设备,2006,34(10):13-15.]
[8]Xia Deshen.Modern Image Processing Technology and Application[M].Nanjing:Southeast University Press,2001.[夏德深.现代图像处理技术与应用[M].南京:东南大学出版社,2001.]
[9]Cui Linli.Integrative Analysis and Evaluation of the Interpretation Features in Remote Sensing Image[D].Beijing:Institute of Remote Sensing Applications,Chinese Academy of Sciences,2005.[崔林丽.遥感影像解译特征的综合分析与评价[D].北京:中国科学院遥感应用研究所,2005.]
[10]Shen Wenming,Wang Wenjie,Luo Haijiang,et al.Classification Methods of Remote Sensing Image Based on Decision Tree Technologies[J].Remote Sensing Technology and Application,2007,22(3):333-338.[申文明,王文杰,罗海江,等.基于决策树分类技术的遥感影像分类方法研究[J].遥感技术与应用,2007,22(3):333-338.]
[11]Wei Yuchun,Tang Guoan,Yang Xin,et al.Remote Sensing Digital Image Processing Tutorial[M].Beijing:Science Press,2007,244-247.[韦玉春,汤国安,杨昕,等.遥感数字图像处理教程[M].北京:科学出版社,2007,244-247.]

 

[1] . [J]. Remote Sensing Technology and Application, 1987, 2(3): 72 .
[2] . [J]. Remote Sensing Technology and Application, 1988, 3(1): 45 -46 .
[3] . [J]. Remote Sensing Technology and Application, 1990, 5(2): 39 -44 .
[4] . [J]. Remote Sensing Technology and Application, 2001, 16(1): 28 -31 .
[5] TIAN Qing-jiu, WANG Shi-xin, WANG Le-yi, YI Wei-ning, ZHOU Yi. Remote Sensing Standardized Spectral Database System Design[J]. Remote Sensing Technology and Application, 2003, 18(4): 185 -190 .
[6] XU Han-qiu, TU Ping, XIAO Gui-rong. A Dynamic Monitor System for Land Use Change at a County Level Based on the Technology of Remote Sensing,Geographical Information System and Global Positioning System[J]. Remote Sensing Technology and Application, 2000, 15(1): 22 -27 .
[7] ZHANG Qun, GUAN Hua, GUO Ying, SONG Yuan-he, LI Hong-wei. Imaging of Moving Targets with Rotating Parts[J]. Remote Sensing Technology and Application, 2007, 22(2): 282 -286 .
[8] . [J]. Remote Sensing Technology and Application, 2001, 16(3): 173 -178 .
[9] GE Wei-Jiang, ZHOU Gong-Mei, TU De-Ji. The Surveying on Thermal Influence Area of Shanghai Urban Greenbelt[J]. Remote Sensing Technology and Application, 2005, 20(5): 496 -500 .
[10] CHEN Shu-lin , MA Jin-hui, ZHANG Shi-qiang ,LU An-xin, ZHAO Yong-guo. Design of Geological Hazard Information System of ChuanZang Road Based on Component GIS[J]. Remote Sensing Technology and Application, 2006, 21(4): 359 -362 .