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Retrieval of High Resolution Satellite Images Using Texture Features 被引量：1

Retrieval of High Resolution Satellite Images Using Texture Features
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摘要 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. 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.
作者 Samia Bouteldja Assia Kourgli
机构地区 the Laboratory of Image Processing and Radiation
出处 《Journal of Electronic Science and Technology》 CAS 2014年第2期211-215,共5页 电子科技学刊（英文版）
关键词 Content-based image retrieval high resolution satellite imagery local binary pattern texture feature extraction Content-based image retrieval,high resolution satellite imagery,local binary pattern,texture feature extraction
分类号 TP391.41 [自动化与计算机技术—计算机应用技术] TP751.1 [自动化与计算机技术—检测技术与自动化装置]
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参考文献19

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引证文献1

Journal of Electronic Science and Technology
2014年 第2期

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