基于CASE推理的多时相星载SAR影像分类

Multi-temporal SAR Images Classification Using Case-Based Reasoning

  • 摘要: 提出了一种基于案例(CASE)推理的多时相SAR影像分类方法。选用北京地区2000年(4景)和2004年(3景)的多时相Radarsat-1 SAR影像及相应地理基础分类图作为数据进行实验,结果表明,该方法能得到较好的SAR影像分类结果,分类总体精度可望达到85%。

     

    Abstract: A case-based reasoning(CBR) methodology is studied for the classification of multi-temporal SAR images with the ancillary information.Multi-temporal Radarsat-1 fine-mode SAR images ranged from 2000 to 2004 are used in the experiments.The study site is located in the south of the city zone of Beijing,China;and the area can be primarily characterized by six categories of land covers,they are plow land,woodland,pasture,residential areas,water body and other land.The results of the method show the classification accuracy can achieve up to 85%.

     

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