Unsupervised crop anomaly detection at the parcel-level using optical and SAR images: application to wheat and rapeseed crops.
Florian MouretMohanad AlbughdadiSylvie DuthoitDenis KouaméHervé PoilvéGuillaume RieuJean-Yves TourneretPublished in: CoRR (2020)
Keyphrases
- anomaly detection
- sar images
- intrusion detection
- unsupervised anomaly detection
- synthetic aperture radar
- network intrusion detection
- unsupervised learning
- anomalous behavior
- intrusion detection system
- network traffic
- detecting anomalies
- network anomaly detection
- negative selection algorithm
- feature extraction
- optical images
- detect anomalies
- computer vision
- oil spill
- feature selection
- image denoising
- pattern recognition
- maximum likelihood