5 citations · 11 across the 10 of their papers we have counts for
4 papers · 1 filter
Dynamic Frequency Feature Fusion Network for Multi-Source Remote Sensing Data Classification
Yikang Zhao, Feng Gao, Xuepeng Jin +2
Multi-source data classification is a critical yet challenging task for remote sensing image interpretation. Existing methods lack adaptability to diverse land cover types when mod…
Hybrid Convolutional and Attention Network for Hyperspectral Image Denoising
Shuai Hu, Feng Gao, Xiaowei Zhou +2
Hyperspectral image (HSI) denoising is critical for the effective analysis and interpretation of hyperspectral data. However, simultaneously modeling global and local features is r…
SS-MAE: Spatial-Spectral Masked Auto-Encoder for Multi-Source Remote Sensing Image Classification
Junyan Lin, Feng Gao, Xiaocheng Shi +2
Masked image modeling (MIM) is a highly popular and effective self-supervised learning method for image understanding. Existing MIM-based methods mostly focus on spatial feature mo…
Convolution and Attention Mixer for Synthetic Aperture Radar Image Change Detection
Haopeng Zhang, Zijing Lin, Feng Gao +3
Synthetic aperture radar (SAR) image change detection is a critical task and has received increasing attentions in the remote sensing community. However, existing SAR change detect…