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Hyperspectral Anomaly Detection via Global and Local Joint Modeling of Background

  • Published:2019-07-15 Issue:14 Volume:67 Page:3858-3869
  • ISSN:1053-587X
  • Container-title:IEEE Transactions on Signal Processing
  • language:
  • Short-container-title:IEEE Trans. Signal Process.

Author:

Wu ZebinORCID,Zhu Wei,Chanussot Jocelyn,Xu YangORCID,Osher StanleyORCID

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

China Postdoctoral Science Foundation

Jiangsu Province Postdoctoral Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Signal Processing

Cited by 69 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. Two-Orientations Finite Markov Real-Time Local Anomaly Detection via Pixel-by-Pixel Processing for Hyperspectral Imagery;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

2. Attention Erasing and Instance Sampling for Weakly Supervised Object Detection;IEEE Transactions on Geoscience and Remote Sensing;2024

3. Hyperbolic Space-Based Autoencoder for Hyperspectral Anomaly Detection;IEEE Transactions on Geoscience and Remote Sensing;2024

4. PCViT: A Pyramid Convolutional Vision Transformer Detector for Object Detection in Remote-Sensing Imagery;IEEE Transactions on Geoscience and Remote Sensing;2024

5. Sliding Dual-Window-Inspired Reconstruction Network for Hyperspectral Anomaly Detection;IEEE Transactions on Geoscience and Remote Sensing;2024
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