paper
2019
Extremes & hazards
Observations & remote sensing New model or method
Classical ML (trees, GP, linear, kernels) Journal
2019-08-01
008
Aug 2019
Adam Agus Kurniawan, Koredianto Usman, R Yunendah Nur Fuadah
eProceedings of Engineering
Classifies tropical cyclone intensity from infrared satellite images using GLCM texture features and an SVM, reaching 88% accuracy against the Saffir-Simpson scale.
Klasifikasi Intensitas Angin Siklon Tropis Pada Citra Inframerah Satelit Menggunakan Metode Svm
In one sentence. Classifies tropical cyclone intensity from infrared satellite images using GLCM texture features and an SVM, reaching 88% accuracy against the Saffir-Simpson scale.
Labels
- Topic
- Extremes & hazards, Observations & remote sensing
- Type
- New model or method
- Method
- Classical ML (trees, GP, linear, kernels)
- Domain
- Regional
- Data
- Satellite
- Status
- Research
- Identifiers
- OpenAlex:W2985507087
- Added
- 2026-10-22
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