Rapid matching algorithm for hyperspectral image based on norm sifting

作     者：李皞 马泳 梁琨 余寅 

作者机构：Department of Electronics and Information Engineering Huazhong University of Science and Technology Wuhan National Laboratory for Optoelectronics 

出 版 物：《Chinese Optics Letters》 (中国光学快报（英文版）)

年 卷 期：2012年第10卷第1期

页      面：67-70页

核心收录：

学科分类：07[理学] 08[工学] 080203[工学-机械设计及理论] 070302[理学-分析化学] 0804[工学-仪器科学与技术] 0703[理学-化学] 0802[工学-机械工程] 

基　　金：supported by the National Natural Science Foundation of China (No.61078062) the Research Fund for the Doctoral Program of Higher Education of China (No.20100142120012) 

主　　题：300.6340 Spectroscopy, infrared 280.4991 Passive remote sensing 

摘      要：We propose a rapid spectral matching method by lowering number of comparisons, processing time can be saved. Firstly, l-norm is chosen as length measure of spectrum, and with this criterion, a l-norm database is built. Secondly, a subspace is constructed from the whole reference library by retaining the references with the most similar l-norm values. Finally, matching operations are performed in the subspace to obtain the match result. Simulations of geological mapping with ASTER spectral library show that the proposed method can significantly reduce processing time and enhance accuracy compared with traditional and dimension reduction methods.