基于遥感影像纹理特征的湿地植被分类

Wetland Vegetation Classification Based on the Texture Feature of Remote Sensing Image

为了监测自然因素和人为活动对湿地生态系统的影响,采用高分辨率遥感影像进行快速湿地植被群落检测是非常必要的。提出了一种基于纹理特征的湿地植被群落自动分类算法,并通过实例证明,该算法可有效提高湿地植被的分类精度。

In order to monitor the influence of natural factors and human activities on wetland ecosystem, it is very necessary that using high-resolution remote sensing images to detect wetland vegetation community. This paper proposed an automatic classification algorithm of wetland vegetation community based on the texture feature. And then, the paper proved that this algorithm could improve the classification accuracy of wetland vegetation effectively by example.