High Resolution Remote Sensing Image Classification Based on Deep Transfer Learning and Multi Feature Network

High Resolution Remote Sensing Image Classification Based on Deep Transfer Learning and Multi Feature Network

To improve the automatic classification accuracy of remote sensing images, this study raises a high-resolution remote sensing image classification model that combines deep transfer learning and multi-feature network. In this paper, deep transfer learning is the core technology of remote sensing imag...

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Bibliographic Details
Main Author: Xinyan Huang
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Transfer learning
multiple features
CNN
remote sensing images
classification
Online Access:https://ieeexplore.ieee.org/document/10267994/

Internet

https://ieeexplore.ieee.org/document/10267994/

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