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International Journal of Remote Sensing Volume 43, 2022 - Issue 7
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Research Article

Hyperspectral anomaly detection based on adaptive weighting method combined with autoencoder and convolutional neural network

Minkai HouCollege of Combat Support, PLA Rocket Force University of Engineering, Xi’an, ChinaORCID Iconhttps://orcid.org/0000-0002-2764-4573
ORCID Icon,
Tao WangCorrespondence[email protected]
,
Yanzhao Su
,
Yanping Cai
&
Jiping Cao
Pages 2617-2637 | Received 02 Dec 2021, Accepted 29 Mar 2022, Published online: 22 Apr 2022

Citations (3)

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Read on this site (2)

Xianyue Wang, Longxia Qian, Jian Shi, Mei Hong & Jinde Cao. (2023) An efficient dual feature fusion model of feature extraction for hyperspectral images. International Journal of Remote Sensing 44:14, pages 4217-4238.
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Yating Xu, Kai Zhao, Liangang Zhang, Mengyao Zhu & Dan Zeng. (2023) Hyperspectral anomaly detection with vision transformer and adversarial refinement. International Journal of Remote Sensing 44:13, pages 4034-4057.
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Articles from other publishers (1)

Yi Ren, Kanghui Feng, Fei Hu, Liangyin Chen & Yanru Chen. (2023) A Lightweight Unsupervised Intrusion Detection Model Based on Variational Auto-Encoder. Sensors 23:20, pages 8407.
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