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。 Aiming at the problem of semantic gap, a semantic feature-based mining model and SVM-related feedback method are combined to establish a human-computer interaction remote sensing image semantic retrieval system based on support vector machine feedback. Experimental results show that this method reduces the semantic gap by using high-level semantic features and human-computer interaction feedback information, and improves the accuracy of image retrieval.