Remote sensing and machine learning on anomaly detection at high spectral and temporal dynamics regions in Brazil.
Vinícius L. S. GinoRogerio G. NegriFelipe N. SouzaPublished in: GEOINFO (2022)
Keyphrases
- data processing
- anomaly detection
- remote sensing
- hyperspectral
- machine learning
- hyperspectral imagery
- hyperspectral remote sensing
- spectral bands
- multispectral
- multi spectral images
- network anomaly detection
- intrusion detection
- change detection
- spectral resolution
- remote sensing images
- hyperspectral images
- high resolution satellite images
- data assimilation
- remote sensing imagery
- multispectral images
- detecting anomalies
- image analysis
- high spatial resolution
- spectral data
- hyperspectral data
- intrusion detection system
- image fusion
- satellite images
- image processing
- remote sensing data
- automatic image registration
- high resolution
- network intrusion detection
- anomalous behavior
- unsupervised learning
- network traffic
- satellite data
- detect anomalies
- one class support vector machines
- pattern recognition
- land cover
- computer vision
- earth observation
- negative selection algorithm
- feature selection
- data mining
- training data
- high quality
- neural network
- spatial resolution
- feature vectors
- active learning