Satellite Image Price Prediction Based on Machine Learning
This study develops a comprehensive, data-driven framework for predicting satellite imagery prices using four state-of-the-art ensemble learning algorithms: XGBoost, LightGBM, AdaBoost, and CatBoost. Two distinct datasets—optical and Synthetic Aperture Radar (SAR) imagery—were assembled, each charac...
Guardado en:
| Autores principales: | , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
MDPI AG
2025-06-01
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| Colección: | Remote Sensing |
| Materias: | |
| Acceso en línea: | https://www.mdpi.com/2072-4292/17/12/1960 |
| Etiquetas: |
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