activity
20142023
most citedNearest Neighbor-Based Contrastive Learning for Hyperspectral and LiDAR Data Classification

124 citations · 214 across the 7 of their papers we have counts for

collaborators

9 papers

math.PR2024

A Markov representation of Perron-Frobenius eigenvector for infinite non-negative matrix and Metzler-matrix

Qian Du, Yong-Hua Mao

We will represent the so-called Perron-Frobenius eigenvector (if exists) for infinite non-negative matrix and Metzler matrix by using its corresponding Markov chain with probab…

eess.IV2024

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…

eess.IV2023

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…

eess.IV2023

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…

cs.LG202347 cited

Physical Knowledge Enhanced Deep Neural Network for Sea Surface Temperature Prediction

Yuxin Meng, Feng Gao, Eric Rigall +3

Traditionally, numerical models have been deployed in oceanography studies to simulate ocean dynamics by representing physical equations. However, many factors pertaining to ocean…

eess.IV2023

Multi-scale Adaptive Fusion Network for Hyperspectral Image Denoising

Haodong Pan, Feng Gao, Junyu Dong +1

Removing the noise and improving the visual quality of hyperspectral images (HSIs) is challenging in academia and industry. Great efforts have been made to leverage local, global o…