Student Research Abstract: Detection of War-Caused Agricultural Field Damages Using Sentinel-2 Satellite Data with Machine Learning and Anomaly Detection.
Sofiia DrozdPublished in: SAC (2024)
Keyphrases
- anomaly detection
- satellite data
- machine learning
- intrusion detection
- network anomaly detection
- remote sensing
- detecting anomalies
- detecting anomalous
- network intrusion detection
- detect anomalies
- intrusion detection system
- anomalous behavior
- computer security
- network traffic
- one class support vector machines
- unsupervised learning
- learning algorithm
- data mining
- satellite images
- network security
- text classification
- land cover
- negative selection algorithm
- supervised learning
- decision trees
- malware detection
- computer vision
- pattern recognition
- change detection
- crest lines
- natural language processing
- multispectral