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cs.CV2026

AeroDeshadow: Physics-Guided Shadow Synthesis and Penumbra-Aware Deshadowing for Aerospace Imagery

Wei Lu, Zi-Yang Bo, Fei-Fei Sang +3

Shadows are prevalent in high-resolution aerospace imagery (ASI). They often cause spectral distortion and information loss, which degrade downstream interpretation tasks. While de…

cs.CV2026

Multi-Modal Building Change Detection for Large-Scale Small Changes: Benchmark and Baseline

Ye Wang, Wei Lu, Zhihui You +6

Change detection in optical remote sensing imagery is susceptible to illumination fluctuations, seasonal changes, and variations in surface land-cover materials. Relying solely on…

cs.CV2026

UniRoute: Unified Routing Mixture-of-Experts for Modality-Adaptive Remote Sensing Change Detection

Qingling Shu, Sibao Chen, Wei Lu +2

Current remote sensing change detection (CD) methods mainly rely on specialized models, which limits the scalability toward modality-adaptive Earth observation. For homogeneous CD,…

cs.CV2025

Unsupervised Ultra-High-Resolution UAV Low-Light Image Enhancement: A Benchmark, Metric and Framework

Wei Lu, Lingyu Zhu, Si-Bao Chen

Low light conditions significantly degrade Unmanned Aerial Vehicles (UAVs) performance in critical applications. Existing Low-light Image Enhancement (LIE) methods struggle with th…

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.CV2025

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…