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面向对象的高分辨率影像农用地分类

DOI: 10.6046/gtzyyg.2010.04.24, PP. 117-121

Keywords: 面向对象,高分辨率影像,多尺度分割,农用地分类

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Abstract:

采用面向对象的影像分类方法,结合多尺度分割技术,以QuickBird影像为实验数据,进行农用地的精细自动分类。首先,根据地物大小,选择最优分割尺度,构建多尺度分割等级网;然后,综合利用高分辨率影像的光谱信息、纹理和形状特征,建立各个对象的特征集;最后,通过目视解译建立隶属度函数,实现地物的分层提取。实验表明,该方法能有效区分农作物种类,相对于传统的像素级分类方法,该方法明显提高了高分辨率影像的分类精度,且避免了“椒盐”噪声的产生。

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