Transferable network with Siamese architecture for anomaly detection in hyperspectral images

Author:

Rao Weiqiang,Qu Ying,Gao Lianru,Sun Xu,Wu Yuanfeng,Zhang Bing

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Computers in Earth Sciences,Earth-Surface Processes,Global and Planetary Change

Reference47 articles.

1. Ganomaly: Semi-supervised anomaly detection via adversarial training;Akcay,2018

2. Asano, Y.M., Rupprecht, C., Vedaldi, A., 2019. Self-labelling via simultaneous clustering and representation learning. arXiv Prepr. arXiv1911.05371.

3. Hyperspectral anomaly detection method based on auto-encoder;Bati,2015

4. Deep clustering for unsupervised learning of visual features;Caron,2018

5. Semi-Supervised Locality Preserving Dense Graph Neural Network With ARMA Filters and Context-Aware Learning for Hyperspectral Image Classification;Ding;IEEE Trans. Geosci. Remote Sens.,2021

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