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基于梯度方向直方图的干枯植物与裸土偏振光谱识别研究
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  • 英文篇名:The study on polarized spectral identification of dry plants and bare soils based on histogram of oriented gradient
  • 作者:杨威 ; 侯鲲 ; 赵云升
  • 英文作者:YANG Wei;HOU Kun;ZHAO Yun-Sheng;College of Computer Science and Technology,Changchun Normal University;School of Information Science and Technology,Northeast Normal University;Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education,Jilin University;School of Geographical Sciences,Northeast Normal University;
  • 关键词:高光谱 ; 多角度 ; 偏振 ; 光谱梯度方向直方图 ; 光谱总反射率
  • 英文关键词:hyperspectral;;multi-angle;;polarization;;Spectral Histogram of Oriented Gradient;;spectral total reflectance
  • 中文刊名:红外与毫米波学报
  • 英文刊名:Journal of Infrared and Millimeter Waves
  • 机构:长春师范大学计算机科学与技术学院;东北师范大学信息科学与技术学院;吉林大学符号计算与知识工程教育部重点实验室;东北师范大学地理科学学院;
  • 出版日期:2019-06-15
  • 出版单位:红外与毫米波学报
  • 年:2019
  • 期:03
  • 基金:国家自然科学基金(41671347);; 吉林省教育厅“十三五”科学技术项目(JJKH20190500KJ);; 吉林省省级产业创新专项资金(2019C047-6);; 长春师范大学自然科学基金(长师大自科合字[2018]第015号)~~
  • 语种:中文;
  • 页:105-110
  • 页数:6
  • CN:31-1577/TN
  • ISSN:1001-9014
  • 分类号:Q948;TP751
摘要
从地物光谱图像识别的关键问题出发,将改进的梯度方向直方图(光谱梯度方向直方图)与"光谱总反射率"应用到偏振光谱识别研究中,实现了对5种干枯植物与3种裸土的识别.在研究中,先联合光谱梯度方向直方图特征向量的模与光谱总反射率进行层次聚类分析,可以识别6种研究对象,再单独利用光谱梯度方向直方图特征的模进行层次聚类分析识别其余2种研究对象,从而可以实现全部研究对象偏振光谱识别.
        Starting from the key problems of spectral image recognition,the improved Histogram of Oriented Gradient( Spectral Histogram of Oriented Gradient) and " Spectral total reflectance" were applied to the polarized spectral recognition study,and five dry plants and three bare soils could be recognized.In the study,the hierarchical clustering analysis was carried out by combining the length of Spectral Histogram of Oriented Gradient and Spectral total reflectance,and six study objects could be identified.Then,the length of Spectral Histogram of Oriented Gradient was used to identify the remaining two study objects by the hierarchical clustering analysis alone. As a result,the polarized spectrum of all the study objects could be recognized.
引文
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