Lightweight Channel Attention and Multiscale Feature Fusion Discrimination for Remote Sensing Scene Classification

Lightweight Channel Attention and Multiscale Feature Fusion Discrimination for Remote Sensing Scene Classification

High-resolution remote sensing image scene classification has attracted widespread attention as a basic earth observation task. Remote sensing scene classification aims to assign specific semantic labels to remote sensing scene images to serve specified applications. Convolutional neural networks ar...

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Bibliographic Details
Main Authors: Huiyao Wan, Jie Chen, Zhixiang Huang, Yun Feng, Zheng Zhou, Xiaoping Liu, Baidong Yao, Tao Xu
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Remote sensing scene classification
convolutional neural network
lightweight channel attention
multiscale feature fusion
label smoothing
Online Access:https://ieeexplore.ieee.org/document/9467262/

Internet

https://ieeexplore.ieee.org/document/9467262/

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