Training Small Networks for Scene Classification of Remote Sensing Images via Knowledge Distillation

Training Small Networks for Scene Classification of Remote Sensing Images via Knowledge Distillation

Scene classification, aiming to identify the land-cover categories of remotely sensed image patches, is now a fundamental task in the remote sensing image analysis field. Deep-learning-model-based algorithms are widely applied in scene classification and achieve remarkable performance, but these hig...

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Bibliographic Details
Main Authors: Guanzhou Chen, Xiaodong Zhang, Xiaoliang Tan, Yufeng Cheng, Fan Dai, Kun Zhu, Yuanfu Gong, Qing Wang
Format: Article
Language:English
Published: MDPI AG 2018-05-01
Series:Remote Sensing
Subjects:
knowledge distillation
scene classification
convolutional neural networks (CNNs)
remote sensing
deep learning
Online Access:http://www.mdpi.com/2072-4292/10/5/719

Internet

http://www.mdpi.com/2072-4292/10/5/719

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