A Combination of Lie Group Machine Learning and Deep Learning for Remote Sensing Scene Classification Using Multi-Layer Heterogeneous Feature Extraction and Fusion

Discriminative feature learning is the key to remote sensing scene classification. Previous research has found that most of the existing convolutional neural networks (CNN) focus on the global semantic features and ignore shallower features (low-level and middle-level features). This study proposes...

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Bibliographic Details

Published in:	Remote Sensing
Main Authors:	Chengjun Xu, Guobin Zhu, Jingqian Shu
Format:	Article
Language:	English
Published:	MDPI AG 2022-03-01
Subjects:	deep learning feature representation Lie Group machine learning remote sensing scene classification
Online Access:	https://www.mdpi.com/2072-4292/14/6/1445