A Multi-Scale Deep Feature Learning and Semantic Enhancement Approach for Remote Sensing Scene Classification-Reference-Cited by-同舟云学术

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A Multi-Scale Deep Feature Learning and Semantic Enhancement Approach for Remote Sensing Scene Classification

Published:2023-07-16 Issue: Volume: Page:
ISSN:
Container-title:IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Huang Hengyi¹,Wang Wenzhen¹,Liao Wenzhi²,Xiao Liang¹

Affiliation:

1. Nanjing University of Science and Technology,Jiangsu Key Laboratory of Spectral Imaging Intelligent Perception,Nanjing,China

2. Flanders Make and Ghent University,Belgium

Funder

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10281394/10281399/10283048.pdf?arnumber=10283048

Reference13 articles.

1. Distinctive Image Features from Scale-Invariant Keypoints

2. Bag-of-visual-words and spatial extensions for land-use classification

3. Deep Residual Learning for Image Recognition

4. Multilayer Feature Fusion Network for Scene Classification in Remote Sensing

5. A Feature Aggregation Convolutional Neural Network for Remote Sensing Scene Classification

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A System to Increase the Accuracy of Deep Learning based Classification by the Distribution of Labels;Proceedings of the 3rd International Conference on Computer, Artificial Intelligence and Control Engineering;2024-01-26

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