地形复杂地区遥感图像分类方法应用研究——以黄土丘陵沟壑地区坡耕地遥感调查为例

Remote Sensing Classification Method in Complicated Terrain Area - Taking the Loess Plateau As an Example

由于黄土高原地区地形复杂,在坡耕地遥感调查中单纯采用监督分类法很难获得理想的精度。以黄土丘陵沟壑地区为研究区域,在坡耕地的分类中采用改进的分类方法,首先以非监督分类法获得初始训练样本,在对样本进行增补和修改的基础上再进行监督分类,使分类精度明显提高。研究表明,用改进的分类法提取坡耕地及其它地物的信息取得了良好的分类效果,是该地区进行坡耕地调查较为理想的方法。

The classification accuracy is unsatisfactory in the complicated terrain area of the Loess Plateau when the single supervised classification is used in the remote sensing investigation of slope field. Taking the loess hill and gully area of northern Shaanxi Province as a test area, the slope field and other categories are extracted by the improved classification which is the integration of supervised classification and unsupervised classification. The result shows that this method improves classification accuracy greatly, and is suitable for the slope field investigation in the loess hill and gully area. The research is of critical significance in obtaining the up-to-date information of the slope field and converting farmland into forest or grass land in slope land reasonably.