Comparison of RX-based anomaly detectors on synthetic and real hyperspectral data

Author:

Kucuk Sefa,Yuksel Seniha Esen

Publisher

IEEE

Cited by 12 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. Enhancing Hyperspectral Pansharpening with Local-Tensor-Nuclear-Norm Regularization;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

2. An Improved Adaptive Weighted Deep Belief Network Autoencoder for Hyperspectral Images;2023 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS);2023-10-31

3. Adaptive window based collaborative representation for hyperspectral anomaly detection with fusion of local and global information;The Egyptian Journal of Remote Sensing and Space Science;2023-08

4. Anomaly Detection of Remote Sensing Images Based on the Channel Attention Mechanism and LRX;Applied Sciences;2023-06-09

5. Assessment of RXD Algorithm Capability for Gas Flaring Detection through OLI-SWIR Channels;Sustainability;2023-03-17

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