ELI-Net: Ensemble learning interpretable networks for the classification of remote sensing images
Author:
Affiliation:
1. (Oxford Brookes University) Chengdu University of Technology,College of Computer and Cyber Security,Chengdu,China
2. Southwest Jiaotong University,School of Mechanical Engineering,Chengdu,China
Funder
National College Students Innovation and Entrepreneurship Training Program
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10438204/10438228/10438330.pdf?arnumber=10438330
Reference7 articles.
1. Fine-Grained Classification of Optical Remote Sensing Ship Images Based on Deep Convolution Neural Network
2. Network Pruning for Remote Sensing Images Classification Based on Interpretable CNNs
3. Multiple Instance Learning Convolutional Neural Networks for Fine-Grained Aircraft Recognition
4. EFM-Net: An Essential Feature Mining Network for Target Fine-Grained Classification in Optical Remote Sensing Images
5. A Confounder-Free Fusion Network for Aerial Image Scene Feature Representation
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