Joint Learning of the Center Points and Deep Metrics for Land-Use Classification in Remote Sensing

Joint Learning of the Center Points and Deep Metrics for Land-Use Classification in Remote Sensing

Deep learning methods, especially convolutional neural networks (CNNs), have shown remarkable ability for remote sensing scene classification. However, the traditional training process of standard CNNs only takes the point-wise penalization of the training samples into consideration, which usually m...

Full description

Bibliographic Details
Main Authors: Zhiqiang Gong, Ping Zhong, Weidong Hu, Yuming Hua
Format: Article
Language:English
Published: MDPI AG 2019-01-01
Series:Remote Sensing
Subjects:
Convolutional Neural Network (CNN)
center point
diversity
metric learning
remote sensing scene classification
Online Access:http://www.mdpi.com/2072-4292/11/1/76

Internet

http://www.mdpi.com/2072-4292/11/1/76

Similar Items