A light CNN based on residual learning and background estimation for hyperspectral anomaly detection.
Jiajia ZhangPei XiangJin ShiXiang TengDong ZhaoHuixin ZhouHuan LiJiangluqi SongPublished in: Int. J. Appl. Earth Obs. Geoinformation (2024)
Keyphrases
- anomaly detection
- hyperspectral
- connectionist systems
- intrusion detection
- intrusion detection system
- learning algorithm
- unsupervised learning
- learning process
- remote sensing
- network traffic
- image data
- active learning
- feature vectors
- neural network
- reinforcement learning
- hyperspectral images
- hyperspectral data
- detecting anomalies
- detect anomalies
- background estimation
- image analysis