7 papers
Continuous Exposure-Time Modeling for Realistic Atmospheric Turbulence Synthesis
Junwei Zeng, Dong Liang, Sheng-Jun Huang +2
Atmospheric turbulence significantly degrades long-range imaging by introducing geometric warping and exposure-time-dependent blur, which adversely affects both visual quality and…
CloudMatch: Weak-to-Strong Consistency Learning for Semi-Supervised Cloud Detection
Jiayi Zhao, Changlu Chen, Jingsheng Li +2
Due to the high cost of annotating accurate pixel-level labels, semi-supervised learning has emerged as a promising approach for cloud detection. In this paper, we propose CloudMat…
CD-Mamba: Cloud detection with long-range spatial dependency modeling
Tianxiang Xue, Jiayi Zhao, Jingsheng Li +2
Remote sensing images are frequently obscured by cloud cover, posing significant challenges to data integrity and reliability. Effective cloud detection requires addressing both sh…
Frequency Regulation for Exposure Bias Mitigation in Diffusion Models
Meng Yu, Kun Zhan
Diffusion models exhibit impressive generative capabilities but are significantly impacted by exposure bias. In this paper, we make a key observation: the energy of predicted noisy…
Graph-Weighted Contrastive Learning for Semi-Supervised Hyperspectral Image Classification
Yuqing Zhang, Qi Han, Ligeng Wang +3
Most existing graph-based semi-supervised hyperspectral image classification methods rely on superpixel partitioning techniques. However, they suffer from misclassification of cert…
BS-Mamba for Black-Soil Area Detection On the Qinghai-Tibetan Plateau
Xuan Ma, Zewen Lv, Chengcai Ma +3
Extremely degraded grassland on the Qinghai-Tibetan Plateau (QTP) presents a significant environmental challenge due to overgrazing, climate change, and rodent activity, which degr…