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Triple Robustness Augmentation Local Features for multi-source image registration

  • Published:2023-05 Issue: Volume:199 Page:1-14
  • 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:

Wang ChangweiORCID,Xu Lele,Xu RongtaoORCID,Xu ShibiaoORCID,Meng WeiliangORCID,Wang RuishengORCID,Zhang XiaopengORCID

Publisher

Elsevier BV

Subject

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

Reference83 articles.

1. LGHD: A feature descriptor for matching across non-linear intensity variations;Aguilera,2015

2. KAZE features;Alcantarilla,2012

3. Three things everyone should know to improve object retrieval;Arandjelović,2012

4. Three things everyone should know to improve object retrieval;Arandjelović,2012

5. Balntas, V., Lenc, K., Vedaldi, A., Mikolajczyk, K., 2017. HPatches: A benchmark and evaluation of handcrafted and learned local descriptors. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 5173–5182.

Cited by 3 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. Computer Vision Technology Based on Color Quantized Image Global Matching Algorithm;2024 International Symposium on Intelligent Robotics and Systems (ISoIRS);2024-06-14

2. Radiation-Variation Insensitive Coarse-to-Fine Image Registration for Infrared and Visible Remote Sensing Based on Zero-Shot Learning;Remote Sensing;2024-01-05

3. DomainFeat: Learning Local Features With Domain Adaptation;IEEE Transactions on Circuits and Systems for Video Technology;2024-01
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