most citedReal-World Remote Sensing Image Dehazing: Benchmark and Baseline

21 citations · 26 across the 5 of their papers we have counts for

collaborators
Showing cs.CVShow all

5 papers · 1 filter

cs.CV2026

ASFR-Net: Adversarial Alignment and Spatio-Frequency Refinement Network for Heterogeneous Remote Sensing Image Change Detection

Xin-Jie Wu, Zhi-Hui You, Si-Bao Chen +4

The core challenge of heterogeneous change detection in remote sensing imagery lies in effectively decoupling genuine land-cover changes from significant modal disparities caused b…

cs.CV2026

FTDMamba: Frequency-Assisted Temporal Dilation Mamba for Unmanned Aerial Vehicle Video Anomaly Detection

Cheng-Zhuang Liu, Si-Bao Chen, Qing-Ling Shu +3

Recent advances in video anomaly detection (VAD) mainly focus on ground-based surveillance or unmanned aerial vehicle (UAV) videos with static backgrounds, whereas research on UAV…

cs.CV2025

Semantic Change Detection of Roads and Bridges: A Fine-grained Dataset and Multimodal Frequency-driven Detector

Qingling Shu, Sibao Chen, Xiao Wang +4

Accurate detection of road and bridge changes is crucial for urban planning and transportation management, yet presents unique challenges for general change detection (CD). Key dif…

cs.CV202521 cited

Real-World Remote Sensing Image Dehazing: Benchmark and Baseline

Zeng-Hui Zhu, Wei Lu, Si-Bao Chen +3

Remote Sensing Image Dehazing (RSID) poses significant challenges in real-world scenarios due to the complex atmospheric conditions and severe color distortions that degrade image…

cs.CV20255 cited

LEGNet: A Lightweight Edge-Gaussian Network for Low-Quality Remote Sensing Image Object Detection

Wei Lu, Si-Bao Chen, Hui-Dong Li +4

Remote sensing object detection (RSOD) often suffers from degradations such as low spatial resolution, sensor noise, motion blur, and adverse illumination. These factors diminish f…