STLDF-Net: a semantic segmentation network for lunar surface linear structure detection—a case study of lobate scarps
Published in Journal of Applied Remote Sensing, 2025
A semantic segmentation-based automatic detection network for lunar surface linear structure is proposed, which is based on Swin Transformer for semantic segmentation and integrates three modules— long-connection Swin Transformer residual block, deformable pyramid pooling module, and feature pyramid and aggregation network. [pdf]
Recommended citation: C. Li, P. Xu, X. Lu, Z. Guo, N. Li, and G. Shu. "STLDF-Net: a semantic segmentation network for lunar surface linear structure detection—a case study of lobate scarps". Journal of Applied Remote Sensing. 2025, 19, 2, 024511.