SAFNet: Artificial Intelligence–Based Multisource Heterogeneous Data Fusion for Comprehensive Building Attribute Prediction

Abstract

Abstract Accurate assessment of structural attributes is vital for flood risk evaluation and mitigation planning. Manual surveys for such data are expensive and time-consuming, while automated methods often rely solely on image-based models or narrowly ...