利用SVM相关反馈和语义挖掘的遥感影像检索
SVM-relevance-feedback and Semantic-extraction-based RS Image Retrieval
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摘要: 针对语义鸿沟问题,将基于语义特征挖掘模型与支持向量机相关反馈方法相结合,建立了基于支持向量机相关反馈的人机交互遥感影像语义检索系统。实验结果表明,该方法利用高层语义特征及人机交互反馈信息缩小了语义鸿沟,提高了影像检索的精度。Abstract: The semantic gap between high-level human perception and low-level image features becomes the bottleneck in content-based remotely sensed image retrieval technology.To solve this problem,in this research,a human machine interaction(HMI) remotely sensed image retrieval system is built that combines semantic mining model and SVM-based relevance feedback method.The experiments indicate that this method can well narrow semantic gap and improve retrieval precision and recall.
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