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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J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久机交互反馈信息缩小了语义鸿沟，提高了影像检索的精度。“,”The semantic gap between high-level human perception and low-level image fea- tures 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 se- mantic gap and improve retrieval precision and recall.