Anomaly Detection in Hyperspectral Image Using 3D-Convolutional Variational Autoencoder.
Jingfa ZhangYang XuTianming ZhanZebin WuZhihui WeiPublished in: IGARSS (2021)
Keyphrases
- anomaly detection
- hyperspectral images
- restricted boltzmann machine
- hyperspectral
- intrusion detection
- hyperspectral imagery
- deep learning
- hyperspectral imaging
- remote sensing
- anomalous behavior
- image segmentation
- network intrusion detection
- detecting anomalies
- intrusion detection system
- network traffic
- multispectral
- unsupervised learning
- multispectral images
- optical flow
- target detection
- infrared
- network anomaly detection
- semi supervised
- image processing
- learning algorithm
- cumulative sum
- conditional random fields
- co occurrence
- detection rate
- change detection
- detect anomalies
- false positives
- computer vision