7 citations · 7 across the 3 of their papers we have counts for
4 papers
MambaMPD: A Mamba-Driven Segmentation Framework for Marine Pollution Detection from Remote Sensing Imagery
Shuaiyu Chen, Wei Han, Peng Ren +2
Accurate marine pollution detection (MPD) is essential for protecting coastal ecosystems and marine biodiversity. Vision Mamba models have shown promise in remote-sensing semantic…
OilSAM2: Memory-Augmented SAM2 for Scalable SAR Oil Spill Detection
Shuaiyu Chen, Ming Yin, Peng Ren +2
Segmenting oil spills from Synthetic Aperture Radar (SAR) imagery remains challenging due to severe appearance variability, scale heterogeneity, and the absence of temporal continu…
Beyond Segmentation: An Oil Spill Change Detection Framework Using Synthetic SAR Imagery
Chenyang Lai, Shuaiyu Chen, Tianjin Huang +4
Marine oil spills are urgent environmental hazards that demand rapid and reliable detection to minimise ecological and economic damage. While Synthetic Aperture Radar (SAR) imagery…
OSDMamba: Enhancing Oil Spill Detection from Remote Sensing Images Using Selective State Space Model
Shuaiyu Chen, Fu Wang, Peng Ren +2
Semantic segmentation is commonly used for Oil Spill Detection (OSD) in remote sensing images. However, the limited availability of labelled oil spill samples and class imbalance p…