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基于高精度历史耕地地块的农区多光谱影像分割方法研究

DOI: 10.6046/gtzyyg.2011.04.04, PP. 20-25

Keywords: 影像分割,对象,农区,耕地地块,遥感

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Abstract:

与传统的基于像元的影像分类方法相比,面向对象的分类方法能够提供更为准确的地类识别结果。对象作为信息提取过程的中间实体,对其划分的好坏直接关系到影像的分类精度。为了更准确地对农区多光谱影像进行分类,提出了一种基于高精度历史耕地地块数据的影像分割方法。该方法首先判定现势遥感图像上耕地地块的均质性,然后通过计算区域对比度指标指导局部最优参数的动态选择,最终获得影像的分割结果。基于农区的案例研究表明:1在相同的全局分割参数条件下,基于高精度历史耕地地块数据的影像分割方法能够在保持稳定的耕地地块边界的同时,获得比直接影像分割更均一的对象;2局部参数的应用使得影像"欠分割"和"过分割"现象基本消除,分割结果较使用全局参数的分割结果更为合理;3局部最优分割参数的自动选取,极大地增强了该方法的客观性;4区域对比度指标对"欠分割"和"过分割"现象十分敏感,能够较好地指导影像分割,为评价农区影像分割的优劣提供了有效的评价指标。

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