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Progressive Token Reduction and Compensation for Hyperspectral Image Representation

  • Published:2023 Issue: Volume:61 Page:1-14
  • ISSN:0196-2892
  • Container-title:IEEE Transactions on Geoscience and Remote Sensing
  • language:
  • Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Ma Chen1ORCID,Jiang Junjun2ORCID,Li Huayi1ORCID,Cui Wenxue2ORCID,Li Guoyuan3ORCID

Affiliation:

1. Research Center of Satellite Technology, School of Astronautics, Harbin Institute of Technology, Harbin, China

2. School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China

3. Land Satellite Remote Sensing Application Center, Ministry of Natural Resources, Beijing, China

Funder

National Natural Science Foundation of China

National Defense Science and Technology Excellence Young Scientists Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Reference58 articles.

1. Deep reinforcement learning for semisupervised hyperspectral band selection;feng;IEEE Trans Geosci Remote Sens,2021

2. LocalViT: Bringing locality to vision transformers;li;arXiv 2104 05707,2021

3. A Cascade Rotated Anchor-Aided Detector for Ship Detection in Remote Sensing Images

4. Feature Extraction for Hyperspectral Imagery: The Evolution From Shallow to Deep: Overview and Toolbox

5. Convolutional Neural Networks for Multimodal Remote Sensing Data 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. Structure-Adaptive Convolutional Neural Network for Hyperspectral Image Classification;IEEE Transactions on Geoscience and Remote Sensing;2023
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