Author

Guyue Hu

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Open access 2026

FGDOA-Net: A Dual-Decoder Network With Frequency-Induced Detail-Guided Difference Aggregation for Remote Sensing Change Detection

Remote sensing change detection (RSCD) aims to identify land surface changes from multitemporal remote sensing images and plays a critical role in applications, such as land monitoring and urban planning. Existing deep-learning-based RSCD methods often struggle to capture fine-grained details and to aggregate semantic...

Yun-Fan Luo, Rong-Hao Yang, Gu-Yue Hu et al. · IEEE Journal of Selected Top... · 0 citations

Open access Jul 2026

GTSNet: A Global Topography-Aware Segmentation Network for Remote Sensing Identification of Unstable Rock Masses

A dual-modality deep learning network that integrates high-resolution unmanned aerial vehicle (UAV) imagery and digital elevation model (DEM) data and introduces DEM-derived terrain-semantic information into optical feature modeling through a multi-scale Topography-aware Fusion Module is proposed.

Baoxiong Lyu, Shao-Da Li, Cheng-Hao Liu et al. · Remote Sensing · 0 citations

2026

RSUS: A Novel Upsampling Layer for Semantic Segmentation Network of Remote Sensing Images

Semantic segmentation of remote sensing images (RSIs) often struggles with boundary blurring, structural discontinuity, and category confusion due to limitations in conventional interpolation and dynamic upsampling methods. This article proposes RSUS, a new upsampling layer designed to preserve semantic consistency and...

Yaning Liu, Ronghao Yang, Shaoda Li et al. · IEEE Transactions on Geoscie... · 0 citations