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Few-shot incremental learning with continual prototype calibration for remote sensing image fine-grained classification

  • Published:2023-02 Issue: Volume:196 Page:210-227
  • ISSN:0924-2716
  • Container-title:ISPRS Journal of Photogrammetry and Remote Sensing
  • language:en
  • Short-container-title:ISPRS Journal of Photogrammetry and Remote Sensing

Author:

Zhu ZiningORCID,Wang Peijin,Diao Wenhui,Yang Jinze,Wang Hongqi,Sun XianORCID

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Computer Science Applications,Engineering (miscellaneous),Atomic and Molecular Physics, and Optics

Reference74 articles.

1. Binary patterns encoded convolutional neural networks for texture recognition and remote sensing scene classification;Anwer;ISPRS J. Photogramm. Remote Sens.,2018

2. Aircraft classification based on PCA and feature fusion techniques in convolutional neural network;Azam;IEEE Access,2021

3. Class incremental learning with few-shots based on linear programming for hyperspectral image classification;Bai;IEEE Trans. Cybern.,2020

4. CILEA-NET: Curriculum-based incremental learning framework for remote sensing image classification;Bhat;IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens.,2021

5. A neural-statistical approach to multitemporal and multisource remote-sensing image classification;Bruzzone;IEEE Trans. Geosci. Remote Sens.,1999

Cited by 5 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. MSANet: Multiscale Self-Attention Aggregation Network for Few-Shot Aerial Imagery Segmentation;IEEE Transactions on Geoscience and Remote Sensing;2024

2. Few-Shot Continual Learning: Approaches and Future Directions;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06

3. MiCro: Modeling Cross-Image Semantic Relationship Dependencies for Class-Incremental Semantic Segmentation in Remote Sensing Images;IEEE Transactions on Geoscience and Remote Sensing;2023

4. Continual Barlow Twins: Continual Self-Supervised Learning for Remote Sensing Semantic Segmentation;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2023

5. PW-MFL: Promoting Semantic Segmentation in Resolution-Degraded Aerial Images via Pixel-Wise Mutual-Feed Learning;IEEE Transactions on Geoscience and Remote Sensing;2023
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