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Remote Sensing Technology and Application  2014, Vol. 29 Issue (1): 164-171    DOI: 10.11873/j.issn.1004-0323.2014.1.0164
    
Study on Vegetation Information Extraction based on Object-oriented Image Analysis
Bie Qiang1,He Lei1,Zhao Chuanyan2
(1.College of Earth and Environmental Science,Lanzhou University,Lanzhou 730000,China;
2.State Key Laboratory of Pastoral Agricultural Ecosystem,Institute of Arid Agroecology,School of Life Sciences,Lanzhou University,Lahzhou 730000,China)
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Abstract  

Vegetation is an important part in ecological system and indicating certain landscapes,It is a meaningful work to obtain detailed information of vegetation using GeoEye image with its abundant spatial and spectral information.This study fused the panchromatic band and multispectral bands with four image fusion methods,Image segmentation is the first and critical procedure in the workflow of object\|oriented image analysis,discrepancy between reference polygons and corresponding segment is used to assess segmentation quality in this study.We extracted the vegetation information using classification feature which is selected from the perspective of remote sensing image cognition and geographical understanding.The results showed that Gram\|Schmidt(GS)method is the most effective in fusing panchromatic bands and multispectral bands,And object\|oriented classification is effective in high resolution remote sensing information extraction,the overall accuracy is up to 90.3%.this research provided an effective method for vegetation information extraction.

Key words:  Remote sensing      Image fusion      Segmentation      Object-oriented     
Received:  27 November 2012      Published:  14 May 2014
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Bie Qiang
He Lei
Zhao Chuanyan

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Bie Qiang,He Lei,Zhao Chuanyan . Study on Vegetation Information Extraction based on Object-oriented Image Analysis. Remote Sensing Technology and Application, 2014, 29(1): 164-171.

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http://www.rsta.ac.cn/EN/10.11873/j.issn.1004-0323.2014.1.0164     OR     http://www.rsta.ac.cn/EN/Y2014/V29/I1/164

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