Kernel Minimum Noise Fraction Transformation-Based Background Separation Model for Hyperspectral Anomaly Detection.
Tianru XueJianxin JiaHui XieChangxing ZhangXuan DengYueming WangPublished in: Remote. Sens. (2022)
Keyphrases
- anomaly detection
- hyperspectral
- probabilistic model
- intrusion detection
- network intrusion detection
- multispectral
- maximum likelihood
- negative selection algorithm
- machine learning
- anomalous behavior
- hyperspectral images
- input data
- supervised learning
- object recognition
- support vector
- training data
- image segmentation