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
投稿时间:2018-10-21  修订日期:2018-12-27  点此下载全文
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作者单位E-mail
杨威 长春师范大学 计算机科学与技术学院 houk431@nenu.edu.cn 
侯鲲 东北师范大学 信息科学与技术学院  
赵云升 东北师范大学 地理科学学院 zhaoys975@nenu.edu.cn 
基金项目:国家自然科学基金(41671347)
中文摘要: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剩下的2种研究对象,可以实现全部研究对象偏振光谱识别。
中文关键词:高光谱  多角度  偏振  光谱梯度方向直方图  光谱能量
 
The Study on Polarized Spectral Identification of Dry Plants and Bare Soils Based on Histogram of Oriented Gradient
Abstract: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.
keywords:Hyperspectral, Multi-angle, polarization, Spectral  Histogram of  Oriented Gradient, Spectral  energy
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