pranay-018/Deep-Learning-For-Remote-Sensing-LULC-Classification-Unveiling-Insights-With-SHAP
This repository features a deep learning model using a compact Convolutional Neural Network (CNN) and Shapley Additive Explanations (SHAPs) for efficient and interpretable Land Use and Land Cover (LULC) classification with Sentinel-2 imagery. It excels on the EuroSAT dataset and is designed for resource-limited settings.
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