| 黄土高原遥感分类应用研究 |
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| 引用本文： | 刘咏梅,汤国安,李天文,Yang Qinke.黄土高原遥感分类应用研究[J].地理学报(英文版),2003,13(4):395-399. |
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| 作者姓名： | 刘咏梅 汤国安 李天文 Yang Qinke |
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| 作者单位： | Department of Urban and Resource Science,Northwest University,Xi'an 710069,China; Institute of Soil and Water Conservation,CAS and Ministry of Water Resources,Yangling 712100,China; The Key Open Laboratory of Continental Dynamics,Ministry of Education,Northwest University; Xi'an 710069,China |
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| 基金项目： | National Nature Science Foundation of China,No.40271089,High-visiting scholar fund of The Key Laboratory of LIESMARS |
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| 摘 要： | Due to complex terrain of the Loess Plateau, the classification accuracy is unsatisfactory when a single supervised classification is used in the remote sensing investigation of the sloping field. Taking the loess hill and gully area of northern Shaanxi Province as a test area, a research was conducted to extract sloping field and other land use categories by applying an integrated classification. Based on an integration of supervised classification and unsupervised classification, sampling method is remarkably improved. The results show that the classification accuracy is satisfactory by the method and is of critical significance in obtaining up-to-date information of the sloping field, which should be helpful in the state key project of converting fiumland to forest and grassland on slope land in this area. This research sought to improve the appfication accuracy of image classification in complex terrain areas.
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| 关 键 词： | 遥感技术 黄土高原 综合分类 黄土坡 峡谷地区 斜坡 陕西 土地利用 分级 |
| 收稿时间： | 7/3/2003 12:00:00 AM |
| 修稿时间： | 10 September 2003 |
An applied research on remote sensing classification in the Loess Plateau |
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| LIU Yongmei,TANG Guoan,LI Tianwen,YANG Qinke.An applied research on remote sensing classification in the Loess Plateau[J].Journal of Geographical Sciences,2003,13(4):395-399. |
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| Authors: | LIU Yongmei TANG Guoan LI Tianwen YANG Qinke |
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| Institution: | 1. Department of Urban and Resource Science, Northwest University, Xi'an 710069, China|;
2. Institute of Soil and Water Conservation, CAS and Ministry of Water Resources, Yangling 712100, China|;
3. The Key Open Laboratory of Continental Dynamics, Ministry of Education, Northwest University|Xi'an 710069, China |
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| Abstract: | Dae to complex terrain of the Loess Plateau, the classification accuracy is unsatisfactory when a single supervised classification is used in die remote sensing investigation of the sloping field. Taking the loess hill and gully area of northern Shaanxi Province as a test area, a research was conducted to extract sloping field and other land use categories by applying an integrated classification. Based on an integration of supervised classification aad unsupervised classification, sampling method is remarkably unproved. The results show that the classification accuracy is satisfactory by the method and is of critical significance in obtaining up-to-date information of the sloping field, which should be helpful in the state key project of converting farmland to forest and grassland on slope land in this area. This research sought to improve the application accuracy of image classification in complex terrain areas. |
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| Keywords: | remote sensing integrated classification loess hilly and gully area sloping field Shaanxi |
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