MFGNet: Multibranch Feature Generation Networks for Few-Shot Remote Sensing Scene Classification-Reference-Cited by-同舟云学术

MFGNet: Multibranch Feature Generation Networks for Few-Shot Remote Sensing Scene Classification

Published:2023 Issue: Volume:61 Page:1-13
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Zhang Xiangrong¹^ORCID,Fan Xiyu¹^ORCID,Wang Guanchun¹^ORCID,Chen Puhua¹^ORCID,Tang Xu¹^ORCID,Jiao Licheng¹^ORCID

Affiliation:

1. Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, International Research Center for Intelligent Perception and Computation, Xidian University, Xi’an, China

Funder

National Natural Science Foundation of China

Key Research and Development Program in the Shaanxi Province of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10006360/10140138.pdf?arnumber=10140138

Reference63 articles.

1. AttentionBased Deep Feature Fusion for the Scene Classification of HighResolution Remote Sensing Images

2. Semantic Attention and Scale Complementary Network for Instance Segmentation in Remote Sensing Images

3. A Novel Deep Feature Fusion Network For Remote Sensing Scene Classification

4. Distilling the knowledge in a neural network;hinton;ArXiv 1503 02531,2015

5. Deep learning in remote sensing applications: A meta-analysis and review

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