paper
2022
Extremes & hazards
Application study
Classical ML (trees, GP, linear, kernels)CNN / U-Net Journal
2022-05-28
004
May 2022
K.Sandhya Rani, Kandi Archana, Teegulla Sreenath et al.
International Journal of Engineering Technology and Management Sciences
Compares SVM, Naive Bayes and pretrained AlexNet on satellite images to flag areas likely hit by hurricanes; methods are standard and evaluation is thin.
Detection of Hurricane through Satellite Images
In one sentence. Compares SVM, Naive Bayes and pretrained AlexNet on satellite images to flag areas likely hit by hurricanes; methods are standard and evaluation is thin.
Labels
- Topic
- Extremes & hazards
- Type
- Application study
- Method
- Classical ML (trees, GP, linear, kernels), CNN / U-Net
- Domain
- Regional
- Data
- Satellite
- Status
- Research
- Identifiers
- DOI:10.46647/ijetms.2022.v06i03.011 OpenAlex:W4283381825
- Added
- 2026-10-22
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