Retrieval of High Resolution Satellite Images Using Texture Features

Retrieval of High Resolution Satellite Images Using Texture Features

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 equall...

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Veröffentlicht in:电子科技学刊 2014, Vol.12 (2), p.211-215
1. Verfasser: Samia Bouteldja Assia Kourgli
Format: Artikel
Sprache:eng
Schlagworte:
CBIR
二元模式
卫星图像
基于内容的图像检索
开发利用
枸杞多糖
纹理特征
高分辨率卫星影像
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container_title 电子科技学刊
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creator Samia Bouteldja Assia Kourgli
description 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.
doi_str_mv 10.3969/j.issn.1674-862X.2014.02.014
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identifier ISSN: 1674-862X
ispartof 电子科技学刊, 2014, Vol.12 (2), p.211-215
issn 1674-862X
language eng
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source Alma/SFX Local Collection
subjects CBIR
二元模式
卫星图像
基于内容的图像检索
开发利用
枸杞多糖
纹理特征
高分辨率卫星影像
title Retrieval of High Resolution Satellite Images Using Texture Features
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