HDTFF-Net: Hierarchical Deep Texture Features Fusion Network for High-Resolution Remote Sensing Scene Classification

HDTFF-Net: Hierarchical Deep Texture Features Fusion Network for High-Resolution Remote Sensing Scene Classification

Fusing features from different feature descriptors or different convolutional layers can improve the understanding of scene and enhance the classification accuracy. In this article, we propose a hierarchical deep texture feature fusion network, abbreviated as HDTFF-Net, aiming to improve the classif...

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Bibliographic Details
Main Authors: Wanying Song, Yifan Cong, Shiru Zhang, Yan Wu, Peng Zhang
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Convolutional neural network (CNN)
deep Gabor features
deep wavelet features
Dempster-Shafer (D-S) evidential theory
remote sensing scene classification (RSSC)
Online Access:https://ieeexplore.ieee.org/document/10194293/

Internet

https://ieeexplore.ieee.org/document/10194293/

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