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Retrieval of High Resolution Satellite Images Using Texture Features 被引量:1
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作者 Samia Bouteldja Assia Kourgli 《Journal of Electronic Science and Technology》 CAS 2014年第2期211-215,共5页
In this research, a content-based image retrieval (CBIR) system for high resolution satellite images has been developed by using texture features. The proposed approach uses the local binary pattern (LBP) texture ... In this research, a content-based image retrieval (CBIR) system for high resolution satellite images has been developed by using texture features. The proposed approach uses the local binary pattern (LBP) texture feature and a block based scheme. The query and database images are divided into equally sized blocks, from which LBP histograms are extracted. The block histograms are then compared by using the Chi-square distance. Experimental results show that the LBP representation provides a powerful tool for high resolution satellite images (HRSI) retrieval. 展开更多
关键词 Content-based image retrieval high resolution satellite imagery local binary pattern texture feature extraction
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