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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

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