Aprinaldi Jasa Mantau

Benchmarking U-Net and Transformer-Based Architectures for Paddy Field Semantic Segmentation Using Very High-Resolution Satellite Imagery in Indonesia

Accurate mapping of paddy fields at the phenological stage level is critical for food security monitoring in Indonesia, yet annotated very high resolution (VHR) benchmark datasets for tropical agricultural environments remain scarce. This letter presents a multisite benchmark evaluation of four deep learning semantic s...