LI Xiao-man,WANG Gang.Research on DEM Based on Remote Sensing Classification Method in Loess Hilly Ravine Area[J].Research of Soil and Water Conservation,2013,20(03):110-114.
DEM支持的黄土丘陵沟壑区地被遥感分类方法
- Title:
- Research on DEM Based on Remote Sensing Classification Method in Loess Hilly Ravine Area
- Keywords:
- Loess hilly-gully region; remote sensing image; DEM; land-cover classification; terrain classification
- 分类号:
- TP751.1
- 摘要:
- DEM支持的黄土丘陵沟壑区地被遥感分类方法的提出，目的是解决由于受到复杂地形影响，遥感影像地被分类精度低且不具有地形特征的问题。在分类预处理过程中利用基于PCA的方法复原阴影区域的信息，可以减少大量阴影造成的影响。分类时对分布在不同地形区域的相同地被选取不同的样本，利用Bayes分类进行土地覆盖分类。根据正负地形特征和剖面曲率将DEM划分为梁峁地、沟坡地、沟底地。分类后使用最小面积原则的滤波方法对土地覆盖分类图与土地类型分类图进行处理，并以土地类型边界为标准进行图斑的叠加重组。该方法将光谱特征与空间地形信息相结合，得到的分类结果精度有所提高且带有地形信息，充分体现了黄土丘陵沟壑区地被分布的实际情况，增强了分类结果的实用价值。
- Abstract:
- A land-cover classification method was put forward based on remote sensing image to solve the problem of low classification accuracy and lack of terrain characteristics due to the influence of complex terrain in Loess hilly Ravine area. This method uses PCA to recover the remote sensing image shadow information before land-cover classification, and to reduce the influence caused by large numbers of shadow. This method selects different samples on same cover of different terrain, and uses Bayes classification to complete land cover classification. DEM is used to classify the landform into ridges and hills, sloping fields, gullies, combines the spectrum feature analysis and terrain information processing, overlays the result with terrain classification, and restructures the figure spot based on land type boundary. This method combines spectral features and spatial topographic information in the process of classification, therefore, the classification result precision is improved. This method makes the classification results with the terrain information, fully embodies the actual situation of the cover distribution in Loess hilly ravine area, and enhances the practical significance of classification results.
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备注/Memo
收稿日期:2012-11-05;改回日期:2012-11-26。
基金项目:武警工程大学自然基金项目（WJY201113）
作者简介:李小曼(1974-),女,陕西三原人,博士,副教授,主要从事地图学与地理信息系统研究。E-mail:wj.lxm@126.com