高技术通讯2017，Vol.27Issue(4)：335-341,7.DOI:10.3772/j.issn.1002-0470.2017.04.006
基于ScSPM-Reranking的高分辨率遥感影像的检索
Retrieval of high resolution remote sensing images based on ScSPM-Reranking
摘要
Abstract
The study of remote sensing image retrieval, including image feature extraction and description of image similarity, was conducted to obtain the detailed information of the earth surface to provide reliable data for urban planning, environmental monitoring and disaster analysis.To improve the accuracy of image retrieval, the techniques of spatial pyramid matching (SPM) using sparse coding (Sc), called the ScSPM for short, as well as Reranking, were applied to the study, and a new method for retrieval of high resolution remote sensing images based on ScSPM and Reranking was proposed.The method uses ScSPM to extract the features of spatial scenes, then, uses the cityblock distance to perform the preliminary retrieval of database images, and lastly uses the Reranking method to boost the accuracy of image retrieval.The proposed method was compared with other retrieval methods by experiment and the method using ScSPM-Reranking achieved the higher retrieval accuracy.关键词
高分辨率遥感影像/图像特征描述/图像检索/Reranking/稀疏编码(Sc)/空间塔式匹配(SPM)Key words
high resolution remote sensing images/image feature description/image retrieval/Reranking/sparse coding (Sc)/spatial pyramid matching (SPM)引用本文复制引用
弓永利,朱盼盼,王跃宾..基于ScSPM-Reranking的高分辨率遥感影像的检索[J].高技术通讯,2017,27(4):335-341,7.基金项目
国家自然科学基金(41371324)资助项目. （41371324）
