JOURNAL ARTICLE
Fast High-dimensional Feature Matching for Retrieving Remote Sensing Images
Huizhong ChenChen Yong-guangNing JingChen Luo
Year: 2011 Journal: JOURNAL OF ELECTRONICS INFORMATION TECHNOLOGY Vol: 33 (9)Pages: 2144-2151 Publisher: Chinese Academy of Sciences, Institute of Electronics
Abstract
提高特征点匹配效率是将高维局部特征运用于遥感影像检索的关键，该文提出一种新的压缩优先过滤(CPF)索引算法。该算法通过量化特征向量构建近似向量空间上的高维索引结构，利用优先队列过滤得到近似近邻候选集，精确计算候选实际特征向量得到最终近邻。在CPF算法基础上提出了基于快速鲁棒性特征(SURF)的遥感影像快速检索算法。实验及分析表明，与经典的最佳桶优先(BBF)算法相比较，CPF降低了磁盘读写(I/O)和浮点运算次数，特征点数目较大时，查询效率和总体查询精度均有显著提高，基于SURF特征的遥感影像快速检索算法能快速返回正确目标与相似目标影像。
Keywords:
Feature (linguistics) Matching (statistics) Computer science Remote sensing Artificial intelligence Feature matching Pattern recognition (psychology) Computer vision Feature extraction Geology Medicine Pathology
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Topics
Advanced Image and Video Retrieval Techniques
Physical Sciences → Computer Science → Computer Vision and Pattern Recognition
Image Retrieval and Classification Techniques
Physical Sciences → Computer Science → Computer Vision and Pattern Recognition
Remote-Sensing Image Classification
Physical Sciences → Engineering → Media Technology
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