Development of deep learning algorithms for land cover classification and monitoring with multi-temporal Earth observation data. (Développement d'algorithmes de type deep-learning pour la classification et la surveillance de la couverture terrestre à partir de données d'observation de la Terre multi temporelles).

Related documents

• LTPNet Integration of Deep Learning and Environmental Decision Support Systems for Renewable Energy Demand Forecasting: Deep Learning for Renewable Energy Demand Prediction.#489716
• DeepCBD: Hybrid deep learning fusion models for differential diagnosis of corticobasal degeneration in atypical versus typical parkinsonism.#489717
• A survey on deep learning and machine learning techniques over histopathology image based Osteosarcoma Detection.#489718
• Urban traffic signal control optimization through Deep Q Learning and double Deep Q Learning: a novel approach for efficient traffic management.#489719
• A comparative analysis of deep learning and deep transfer learning approaches for identification of rice varieties.#489720