RANet: Relationship Attention for Hyperspectral Anomaly Detection

RANet: Relationship Attention for Hyperspectral Anomaly Detection

Hyperspectral anomaly detection (HAD) is of great interest for unknown exploration. Existing methods only focus on local similarity, which may show limitations in detection performance. To cope with this problem, we propose a relationship attention-guided unsupervised learning with convolutional aut...

पूर्ण विवरण

ग्रंथसूची विवरण
मुख्य लेखकों: Yingzhao Shao, Yunsong Li, Li Li, Yuanle Wang, Yuchen Yang, Yueli Ding, Mingming Zhang, Yang Liu, Xiangqiang Gao
स्वरूप: लेख
भाषा:English
प्रकाशित: MDPI AG 2023-11-01
श्रृंखला:Remote Sensing
विषय:
anomaly detection
hyperspectral image
graph attention network (GAT)
convolutional autoencoder (CAE)
ऑनलाइन पहुंच:https://www.mdpi.com/2072-4292/15/23/5570

इंटरनेट

https://www.mdpi.com/2072-4292/15/23/5570

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