7 papers
SGDFuse: SAM-Guided Diffusion Model for High-Fidelity Infrared and Visible Image Fusion
Xiaoyang Zhang, jinjiang Li, Guodong Fan +4
Infrared and visible image fusion (IVIF) is essential for integrating thermal saliency with textural details to support downstream perception. However, most existing approaches suf…
Empowering Semantic-Sensitive Underwater Image Enhancement with VLM
Guodong Fan, Shengning Zhou, Genji Yuan +3
In recent years, learning-based underwater image enhancement (UIE) techniques have rapidly evolved. However, distribution shifts between high-quality enhanced outputs and natural i…
DFPF-Net: Dynamically Focused Progressive Fusion Network for Remote Sensing Change Detection
Chengming Wang, Peng Duan, Jinjiang Li
Change detection (CD) has extensive applications and is a crucial method for identifying and localizing target changes. In recent years, various CD methods represented by convoluti…
Wavelet-Guided Dual-Frequency Encoding for Remote Sensing Change Detection
Xiaoyang Zhang, Guodong Fan, Guang-Yong Chen +4
Change detection in remote sensing imagery plays a vital role in various engineering applications, such as natural disaster monitoring, urban expansion tracking, and infrastructure…
Prototype-Driven Structure Synergy Network for Remote Sensing Images Segmentation
Junyi Wang, Jinjiang Li, Guodong Fan +3
In the semantic segmentation of remote sensing images, acquiring complete ground objects is critical for achieving precise analysis. However, this task is severely hindered by two…
MGCR-Net:Multimodal Graph-Conditioned Vision-Language Reconstruction Network for Remote Sensing Change Detection
Chengming Wang, Guodong Fan, Jinjiang Li +2
With the advancement of remote sensing satellite technology and the rapid progress of deep learning, remote sensing change detection (RSCD) has become a key technique for regional…