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...

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Bibliographic Details
Main Authors: Chuan Yan, Xiangsuo Fan, Jinlong Fan, Nayi Wang
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/14/5/1118