High-resolution remote sensing building extraction often requires large amounts of manually labeled data, and models trained on one dataset may not perform equally well on another without additional annotations. To reduce this dependency on labeled target data, we propose SIGA-UNet3+, which combines a Spectral Index Ga...
Jin-Chen Zhu, Sheng-Bo Chen, Xi-Tong Xu et al.· Italian National Conference...· 0 citations
An enhanced autoencoder network is designed that couples spatial encoding with dynamic behavior modeling to effectively extract latent trajectory features and offers a reliable and practical solution for intelligent vessel navigation and proactive risk warning in complex inland bridge environments.
Jing-Xin Cao, Yuan-Zhou Zheng, Long Qian et al.· Scientific Reports· 0 citations
This paper addresses the need for multi-source data fusion and risk early warning in slope monitoring by proposing a modeling method that integrates data calibration, feature interpretation, and hierarchical early warning. First, linear regression is used to calibrate fiber-optic displacement data, and data consistency...