朱江洪, 李江风, 叶菁. 利用决策树工具的土地利用类型遥感识别方法研究[J]. 武汉大学学报 ( 信息科学版), 2011, 36(3): 301-305.
引用本文: 朱江洪, 李江风, 叶菁. 利用决策树工具的土地利用类型遥感识别方法研究[J]. 武汉大学学报 ( 信息科学版), 2011, 36(3): 301-305.
ZHU Jianghong, LI Jiangfeng, YE Jing. Land Use Information Extraction from Remote Sensing Data Based on Decision Tree Tool[J]. Geomatics and Information Science of Wuhan University, 2011, 36(3): 301-305.
Citation: ZHU Jianghong, LI Jiangfeng, YE Jing. Land Use Information Extraction from Remote Sensing Data Based on Decision Tree Tool[J]. Geomatics and Information Science of Wuhan University, 2011, 36(3): 301-305.

利用决策树工具的土地利用类型遥感识别方法研究

Land Use Information Extraction from Remote Sensing Data Based on Decision Tree Tool

  • 摘要: 应用决策树的理论和方法,利用遥感数据及其他相关数据和资料进行土地利用信息分类。通过研究地物光谱统计特征,讨论了通过耕地指数等归一化地类指数来增强影像地类特征、结合DEM提取土地利用信息的决策树分支点的设计方法,较好地解决了水体和建筑阴影、道路等容易混淆区域的区分问题。

     

    Abstract: Information extraction of land use from remote sensing image is one of the important ways for land use data acquisition.The spatial distribution of the land resources,the methods of the land-use,the resolution of the remote sensing data and number of the bands have a great impact on the information extraction results.The theory of decision tree methods are discussed.And the remote sensing data and other relevant data are used for the classification of land use information.By the statistic of the spectral characteristics,the characteristics of the normalized index of some type of the land-use,such as arable land,and the DEM model,the paper get a land-use decision tree branch for the information extraction,which can get a better solution for distinction the water bodies,construction shadows and other confused land-use type.The results proved that this method can achieve the initial classification and information quickly and effectively,which can make a feasible approach for land use information extraction by the comprehensive analysis of remote sensing data.

     

/

返回文章
返回