Multiple-Feature Latent Space Learning-Based Hyperspectral Image Classification
IEEE Geoscience and Remote Sensing Letters(2021)
摘要
Considering that multiple features can improve the classification performance as they contain diversity information of images, a multiple-feature latent space learning-based method is proposed for hyperspectral image (HSI) classification in this letter. In the proposed method, a latent space that contains diversity information of multiple features and transformation matrices between the latent spa...
更多查看译文
关键词
Feature extraction,Training,Hyperspectral imaging,Learning systems,Computational complexity,Electronic mail
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要