Remote Sensing Image Retrieval with Combined Features Of Salient Region
- 1State key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, China
- 2The Department of Electronics and Information Engineering, Huazhong University of Science & Technology, China
Keywords: Visual Attention Model, Object Saliency, Salient Regions, Combined Features, Remote Sensing Image Retrieval
Abstract. Low-level features tend to achieve unsatisfactory retrieval results in remote sensing image retrieval community because of the existence of semantic gap. In order to improve retrieval precision, visual attention model is used to extract salient objects from image according to their saliency. Then color and texture features are extracted from salient objects and regarded as feature vectors for image retrieval. Experimental results demonstrate that our method improves retrieval results and obtains higher precision.