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Rotation-Invariant Feature Learning for Object Detection in VHR Optical Remote Sensing Images by Double-Net

  • Published:2020 Issue: Volume:8 Page:20818-20827
  • ISSN:2169-3536
  • Container-title:IEEE Access
  • language:
  • Short-container-title:IEEE Access

Author:

Zhang ZhiORCID,Jiang RuoqiaoORCID,Mei ShaohuiORCID,Zhang ShunORCID,Zhang YifanORCID

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Natural Science Foundation of Shaanxi Province

China Postdoctoral Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Cited by 17 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. Categorization and Interpretation of Satellite Image Scenes Employing AI Approaches;2024 International Conference on Knowledge Engineering and Communication Systems (ICKECS);2024-04-18

2. Automated Remote Sensing Image Classification using Enhanced Fireworks Algorithm with Deep Learning Model;2023 Second International Conference on Trends in Electrical, Electronics, and Computer Engineering (TEECCON);2023-08-23

3. Rotation-Invariant Feature Learning via Convolutional Neural Network With Cyclic Polar Coordinates Convolutional Layer;IEEE Transactions on Geoscience and Remote Sensing;2023

4. Robustizing Object Detection Networks Using Augmented Feature Pooling;Computer Vision – ACCV 2022;2023

5. A Survey on Deep Learning-Based Change Detection from High-Resolution Remote Sensing Images;Remote Sensing;2022-03-23
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