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基于P稳定分布局部敏感哈希的太赫兹光谱检索

李灵杰 沈韬 倪家鹏

计算机与数字工程2017,Vol.45Issue(6):1038-1044,7.
计算机与数字工程2017,Vol.45Issue(6):1038-1044,7.DOI:10.3969/j.issn.1672-9722.2017.06.006

基于P稳定分布局部敏感哈希的太赫兹光谱检索

Terahertz Spectrum Retrieval Based on P-stable LSH

李灵杰 1沈韬 2倪家鹏1

作者信息

  • 1. 昆明理工大学信息科学与自动化学院 昆明 650500
  • 2. 昆明理工大学智能信息处理重点实验室 昆明 650500
  • 折叠

摘要

Abstract

The nearest neighbor search method of terahertz spectrum is a key problem in the full use of terahertz spectroscopy and related research. At present,there is no THz spectrum database which can provide spectrum search by THz spectrum. There?fore,in this paper,combined with the advantages of hash algorithm based on random projection,a new method of terahertz spec?trum retrieval based on P-stable distribution local sensitive hash algorithm is proposed. First of all,through the S-G filter and 3 spline interpolation and resampling,16 kinds of substances were normalized in the terahertz transmission spectrum of 0.9THz~6THz,and then the random projection method P-stable LSH is used to train the above original terahertz spectrum data in high di?mension spectrum based on the dimensionality reduction mapping to Hamming space,into the size of only tens of bits hash encod?ing,finally,parts of the spectrum of each substance selected as a query to retrieve and calculate the Hamming distance of hash code between query point and spectral data database,then the results are sorted and returned. Experimental results show that the retriev?al results by locality sensitive hashing algorithm using P-stable is more accurate and more efficient,the mean average precision (MAP)value is higher than other representative hash algorithms based on random projection.

关键词

太赫兹光谱/光谱检索/随机投影/P稳定分布/局部敏感哈希

Key words

THz spectrum/spectrum retrieval/random projection/P-stable distribution/locality sensitive hashing

分类

信息技术与安全科学

引用本文复制引用

李灵杰,沈韬,倪家鹏..基于P稳定分布局部敏感哈希的太赫兹光谱检索[J].计算机与数字工程,2017,45(6):1038-1044,7.

基金项目

国家自然科学基金项目(编号:61302042,61671225)资助. (编号:61302042,61671225)

计算机与数字工程

OACSTPCD

1672-9722

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