Improved U-Net Remote Sensing Classification Algorithm Based on Multi-Feature Fusion Perception
The selection and representation of remote sensing image classification features play crucial roles in image classification accuracy. To effectively improve the classification accuracy of features, an improved U-Net network framework based on multi-feature fusion perception is proposed in this paper...
Main Authors: | Chuan Yan, Xiangsuo Fan, Jinlong Fan, Nayi Wang |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-02-01
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Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/14/5/1118 |
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