基于GF-1与Landsat-8影像的山区苹果园地信息提取

GF-1卫星影像具有空间和时间分辨率高、纹理信息丰富等优势,而Landsat-8卫星影像具有多波段、光谱信息充足等优势。针对两种影像的特点,本文分别用面向对象分类方法进行苹果园地信息提取研究,结果表明:两种影像的分类精度都比较高,但由于研究区域属于山区,地块分布不均匀,GF-1影像发挥其空间分辨率较高的优势,苹果园地面积提取精度比Landsat-8高1.19%。

Information Extraction of Montanic Apple Orchard Based on GF-1 and Landsat-8 Images

GF-1 satellite images have the advantage of high spatial and temporal resolution and the rich texture information,while Landsat8 satellite images have the advantage of multiband and sufficient spectral information.According to the characteristics of the two images,respectively using object-oriented classification method for the information extraction research of apple orchard,the results show that the classification accuracy of two images both is high.Because of the study area belongs to mountainous area with uneven distribution of land,the extraction accuracy of GF-1 images is 1.19％ higher than Landsat8 images,GF-1 images plays to the advantages of its high spatial resolution.