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Leyuan Fang

Leyuan Fang

D-Index & Metrics

Computer Science

D-Index
64
Citations
17133
World Ranking
2592
National Ranking
350

Overview

Leyuan Fang is affiliated with Hunan University in China and has made significant contributions to research in computer science and engineering. Their work primarily focuses on fields such as computer vision and pattern recognition, media technology, and artificial intelligence, with additional interests in atmospheric science and biomedical engineering.

The scientist has published extensively in key areas of remote sensing, including remote-sensing image classification, remote sensing and land use, as well as advanced image fusion techniques. Other notable topics in their research include advanced image and video retrieval techniques, advanced neural network applications, domain adaptation and few-shot learning, and image and signal denoising methods.

The frequent publication venues for Leyuan Fang's research output include:

  • IEEE Transactions on Geoscience and Remote Sensing
  • arXiv (Cornell University)
  • IEEE Transactions on Circuits and Systems for Video Technology
  • IEEE Transactions on Image Processing
  • IEEE Transactions on Neural Networks and Learning Systems

Some of their recent papers are:

  • Self-Attention-Based Deep Feature Fusion for Remote Sensing Scene Classification, 2020, IEEE Geoscience and Remote Sensing Letters
  • Dif-Fusion: Toward High Color Fidelity in Infrared and Visible Image Fusion With Diffusion Models, 2023, IEEE Transactions on Image Processing
  • RRNet: Relational Reasoning Network with Parallel Multi-scale Attention for Salient Object Detection in Optical Remote Sensing Images, 2021, arXiv (Cornell University)
  • Self-Supervised Learning With Adaptive Distillation for Hyperspectral Image Classification, 2021, IEEE Transactions on Geoscience and Remote Sensing
  • Hybrid first and second order attention Unet for building segmentation in remote sensing images, 2020, Science China Information Sciences

The scientist frequently collaborates with other researchers, including Jun Yue, Weiying Xie, Pedram Ghamisi, Shaobo Xia, and Yunsong Li. These collaborations have contributed to a diverse range of studies within the fields of remote sensing and image processing.

Best Publications

  • Deep Learning for Hyperspectral Image Classification: An Overview

    Shutao Li;Weiwei Song;Leyuan Fang;Yushi Chen

  • Pixel-level image fusion

    Shutao Li;Xudong Kang;Leyuan Fang;Jianwen Hu

  • Hyperspectral Image Classification With Deep Feature Fusion Network

    Weiwei Song;Shutao Li;Leyuan Fang;Ting Lu

  • Fusing Hyperspectral and Multispectral Images via Coupled Sparse Tensor Factorization

    Shutao Li;Renwei Dian;Leyuan Fang;José M. Bioucas-Dias

  • Automatic segmentation of nine retinal layer boundaries in OCT images of non-exudative AMD patients using deep learning and graph search.

    Leyuan Fang;David Cunefare;Chong Wang;Robyn H. Guymer

  • Group-Sparse Representation With Dictionary Learning for Medical Image Denoising and Fusion

    Shutao Li;Haitao Yin;Leyuan Fang

  • Classification of Hyperspectral Images by Exploiting Spectral–Spatial Information of Superpixel via Multiple Kernels

    Leyuan Fang;Shutao Li;Wuhui Duan;Jinchang Ren

  • Deep Hyperspectral Image Sharpening

    Renwei Dian;Shutao Li;Anjing Guo;Leyuan Fang

  • Learning a Low Tensor-Train Rank Representation for Hyperspectral Image Super-Resolution

    Renwei Dian;Shutao Li;Leyuan Fang

  • New Frontiers in Spectral-Spatial Hyperspectral Image Classification: The Latest Advances Based on Mathematical Morphology, Markov Random Fields, Segmentation, Sparse Representation, and Deep Learning

    Pedram Ghamisi;Emmanuel Maggiori;Shutao Li;Roberto Souza

  • Spectral–Spatial Hyperspectral Image Classification via Multiscale Adaptive Sparse Representation

    Leyuan Fang;Shutao Li;Xudong Kang;Jon Atli Benediktsson

  • Remote Sensing Image Fusion via Sparse Representations Over Learned Dictionaries

    Shutao Li;Haitao Yin;Leyuan Fang

  • Hyperspectral Image Super-Resolution via Non-local Sparse Tensor Factorization

    Renwei Dian;Leyuan Fang;Shutao Li

  • Sparsity based denoising of spectral domain optical coherence tomography images

    Leyuan Fang;Shutao Li;Qing Nie;Joseph A. Izatt

  • Remote Sensing Scene Classification Using Multilayer Stacked Covariance Pooling

    Nanjun He;Leyuan Fang;Shutao Li;Antonio Plaza

  • Spectral–Spatial Classification of Hyperspectral Images With a Superpixel-Based Discriminative Sparse Model

    Leyuan Fang;Shutao Li;Xudong Kang;Jon Atli Benediktsson

  • Feature Extraction With Multiscale Covariance Maps for Hyperspectral Image Classification

    Nanjun He;Mercedes E. Paoletti;Juan Mario Haut;Leyuan Fang

  • Fast Acquisition and Reconstruction of Optical Coherence Tomography Images via Sparse Representation

    Leyuan Fang;Shutao Li;Ryan P. McNabb;Qing Nie

  • Deformable Convolutional Neural Networks for Hyperspectral Image Classification

    Jian Zhu;Leyuan Fang;Pedram Ghamisi

  • Attention to Lesion: Lesion-Aware Convolutional Neural Network for Retinal Optical Coherence Tomography Image Classification

    Leyuan Fang;Chong Wang;Shutao Li;Hossein Rabbani

  • Skip-Connected Covariance Network for Remote Sensing Scene Classification

    Nanjun He;Leyuan Fang;Shutao Li;Javier Plaza

Frequent Co-Authors

Shutao Li
Shutao Li Hunan University
Jon Atli Benediktsson
Jon Atli Benediktsson University of Iceland
Xudong Kang
Xudong Kang Hunan University
Pedram Ghamisi
Pedram Ghamisi Helmholtz-Zentrum Dresden-Rossendorf
Sina Farsiu
Sina Farsiu Duke University
Hossein Rabbani
Hossein Rabbani Isfahan University of Medical Sciences
Antonio Plaza
Antonio Plaza University of Extremadura
Jiliu Zhou
Jiliu Zhou Sichuan University
Javier Plaza
Javier Plaza University of Extremadura
Joseph A. Izatt
Joseph A. Izatt Duke University

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