基于高分辨率遥感林分面积提取方法研究

Study on the Way of Using High-resolution Remote-sensing Technique to Extract Stand Area

面积是森林资源调查的重要内容之一,同时也是森林蓄积总量计算时必要参数。针对高分辨率遥感影像空间分辨率高,而光谱分辨率低的特点,探讨了综合利用纹理特征和光谱特征提高分类精度,进而提高林分面积的方法。

Area is one of the important objects when investigating forest resources and a necessary parameter when calculating forest stock volume.This paper explores how to make a comprehensive use of textural and spectral features to enhance the accuracy of classification,thus to extract stand area more precisely.