基于分层分析的ASTER 影像土地利用/ 覆盖遥感监测研究

以龙海市为实验区, 利用ASTER 遥感数据, 在研究区典型地物光谱特征系统分析的基础上,进行基于分层分类思想的地物分类提取方法研究。首先将影像划分为独立的子区( 水体、植被覆盖区和非植被覆盖区域) 以避免分类过程中光谱的互相影响; 然后在每个独立的子区基础上根据各类地物的不同光谱特征和空间特征, 对各类地物进行逐层掩模、分层提取。结果表明该方法优于传统的监督和非监督分类效果。

Land Use/ Land Cover Monitoring Based on Multi-layer Techniques Using ASTER Data

The city of LongHai was selected as a studying area in this paper,and adopts the ASTER image to extract the information of land utilization based on idea of division of layer step by step,which was depended on the analysis of the typical feather spectral in the studying area.First,divide the whole image into separate small area in order to avoid the fusion of the spectral each other.Then,in the separate small area,separate each kind of feather from the small area one by one depending on the each kind of feathers spectral and space characteristic.It was shown in the result that this method was better than the traditional supervised and unsupervised classification.