Research of Content Feature Descriptors for Lunar Images Based on Saliency Regions

CHEN Hui-zhong; CHEN Yong-guang; JING Ning; CHEN Luo; WANG Jun

doi:10.3969/j.issn.0372-2112.2012.05.009

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Research of Content Feature Descriptors for Lunar Images Based on Saliency Regions

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- Research of Content Feature Descriptors for Lunar Images Based on Saliency Regions
- Acta Electronica Sinica Vol. 40, Issue 5, Pages: 911-919(2012)
- 作者机构：
  
  1. 国防科学技术大学电子科学与工程学院,湖南,长沙,410073
  2. 西南电子电信技术研究所上海分所,上海,200434
  3. 军械工程学院,河北,石家庄,050003
  4. 国防科学技术大学电子科学与工程学院,湖南,长沙,410073
  5. 西南电子电信技术研究所上海分所,上海,200434
  6. 军械工程学院,河北,石家庄,050003
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.0372-2112.2012.05.009
  CLC： TP391
- Published：2012
- 稿件说明：
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CHEN Hui-zhong, CHEN Yong-guang, JING Ning, et al. Research of Content Feature Descriptors for Lunar Images Based on Saliency Regions[J]. Acta Electronica Sinica, 2012, 40(5): 911-919.
DOI：

CHEN Hui-zhong, CHEN Yong-guang, JING Ning, et al. Research of Content Feature Descriptors for Lunar Images Based on Saliency Regions[J]. Acta Electronica Sinica, 2012, 40(5): 911-919. DOI： 10.3969/j.issn.0372-2112.2012.05.009.

摘要

提出一种基于月球影像显著区域的内容特征(LIFBS)

同时面向多核处理器架构

提出并行优化的LIFBS特征生成算法.该算法考虑显著子区域之间的方位、尺度、强度和距离关系

为每一个显著区域生成一个LIFBS局部特征

以此描述月球影像的内容.理论分析与实验结果表明

LIFBS特征具有良好的不变性与相似性表达

同时特征生成算法具有较高的并行效率.

Abstract

A feature descriptor called LIBFS is proposed for lunar remote sensing images based on the saliency regions and a parallel LIBFS generating algorithm is proposed facing the multi-cores processor architecture.The algorithm considers the location

scale

strength and distance relationship among different saliency regions in a lunar image.Several local LIBFS features are generated to describe the content of the image together.Theoretical analysis and experiments show that the LIBFS works well in invariance and similarity presentation

and the feature generating algorithm is of high parallel efficiency.

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Image Retrieval Based on DCT Compressed-Domain

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Signal and Information Processing Lab, Beijing Polytechnic University

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