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Author

Pei-Jun Lee

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2026

AsyScale-Net: Fine-Grained Tiny Object Recognition Across Heterogeneous UAV–Satellite Imagery

Fine-grained classification of tiny objects in remote sensing (RS) is severely hindered by extreme ground sampling distance (GSD) variance and strict edge-computing constraints. To tackle these challenges, we propose AsyScale-Net. First, by leveraging comprehensive multifidelity imagery from our custom SkyView dataset,...

Rou Su, Pei-Jun Lee · 0 citations
Open access 2026

SwinMSNet: A Swin Transformer-Based Multiscale Network for Spatio-Environmental Changes

Reliable change detection in remote sensing imagery is critical for supporting applications, such as rapid disaster response and urban development monitoring, where small-scale and incomplete changes are often overlooked. This study proposes SwinMSNet, a Swin transformer-based multiscale network designed to improve rec...

Ching-He Hsu, Pei-Jun Lee, Tsu-En Tien et al. · 0 citations

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