Autoencoder and Adversarial-Learning-Based Semisupervised Background Estimation for Hyperspectral Anomaly Detection.
Weiying XieBaozhu LiuYunsong LiJie LeiQian DuPublished in: IEEE Trans. Geosci. Remote. Sens. (2020)
Keyphrases
- anomaly detection
- hyperspectral
- connectionist systems
- learning process
- intrusion detection
- multispectral
- learning algorithm
- network intrusion detection
- supervised learning
- unsupervised learning
- remote sensing
- hyperspectral images
- video sequences
- active learning
- neural network
- hyperspectral imagery
- detecting anomalies
- one class support vector machines
- machine learning
- clustering algorithm
- detect anomalies