A Remote Sensing Image Retrieval Model Based on Semantic Mining

A three-level image content representation model is built to mine semantic features that hide in different images and regions.Suppose that each image contains interesting region and uninteresting region,and reorganize semantic features that are used to represent image content.We utilize semantic features to retrieve image.The results show that this model can extract implied semantic feature from remote sensing images.Simultaneously,using inter esting image and uninteresting image to retrieve image can get a good retrieval precision.