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Remote Sensing Technology and Application  2008, Vol. 23 Issue (1): 17-23    DOI: 10.11873/j.issn.1004-0323.2008.1.17
Classification Application of QuickBird Imagery to Obtain Crop Planting Area
XU Xin-gang1,2,LI Qiang-zi1,ZHOU Wan-cun3,WU Bing-fang1
(1.Institute of Remote Sensing Applications,Chinese Academy of Sciences, Beijing100101, China;
2. NationalEngineering Research Center for Information Technology in Agriculture, Beijing100097, China;
3. Instituteof Mountain Hazards and Environment, ChineseAcademy of Sciences, Chengdu610041, China)
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With complicated natural conditions, multiplicity of crop structure, small and dispersive distribution of parcel, the accuracy of images with moderate and lower resolution can't meet the acquisition of crop yield forecasting. With improvement of new sensors of high resolution, remote sensing imagery of high resolution can provide more abundant information such as texture, hue and so on. However, the current object-oriented classification approaches are not mature, which have too much thresholds to be set and more complicated and difficult to be used commonly. Therefore, combining QuickBird high spatial resolution satellite imagery with the field investigation data as mainly auxiliary information as well as using the pixel-oriented maximum likelihood method, crop planting area was obtained step by step, applying the principle of multi-scale information extraction,a test was set in Mianyang, Sichuan province.The result shows that the accuracy of crop classification is fairly exciting.

Key words:  Crop classification      QuickBird      Field investigation      Maximum likelihood method      Multi-scale     
Received:  22 January 2007      Published:  24 October 2011
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Cite this article: 

XU Xin-gang,LI Qiang-zi,ZHOU Wan-cun,WU Bing-fang. Classification Application of QuickBird Imagery to Obtain Crop Planting Area. Remote Sensing Technology and Application, 2008, 23(1): 17-23.

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