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Deep Metric Learning Based on Scalable Neighborhood Components for Remote Sensing Scene Characterization

  • Published:2020-12 Issue:12 Volume:58 Page:8905-8918
  • ISSN:0196-2892
  • Container-title:IEEE Transactions on Geoscience and Remote Sensing
  • language:
  • Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Kang JianORCID,Fernandez-Beltran RubenORCID,Ye ZhenORCID,Tong XiaohuaORCID,Ghamisi PedramORCID,Plaza AntonioORCID

Funder

National Key Research and Development Project of China

National Natural Science Foundation of China

Spanish Ministry of Economy

FEDER-Junta de Extremadura

European Union under the H2020 EOXPOSURE Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Cited by 59 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. Creating Ensembles of Classifiers through UMDA for Aerial Scene Classification;Proceedings of the Genetic and Evolutionary Computation Conference;2024-07-14

2. Learning scene-vectors for remote sensing image scene classification;Neurocomputing;2024-06

3. Contrastive Scene Change Representation Learning for High-Resolution Remote Sensing Scene Change Detection;IEEE Transactions on Geoscience and Remote Sensing;2024

4. Subspace prototype learning for few-Shot remote sensing scene classification;Signal Processing;2023-07

5. Deep Factorized Metric Learning;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2023-06
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