Ruoxi Song

Orcid: 0000-0001-7872-5587

According to our database1, Ruoxi Song authored at least 28 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A General Deep Learning Point-Surface Fusion Framework for RGB Image Super-Resolution.
Remote. Sens., January, 2024

S2EFT: Spectral-Spatial-Elevation Fusion Transformer for hyperspectral image and LiDAR classification.
Knowl. Based Syst., January, 2024

Semi-Supervised HyperMatch-Driven Cross Temporal and Spatial Interaction Transformer for Hyperspectral Change Detection.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

2023
Contrastive Self-Supervised Two-Domain Residual Attention Network with Random Augmentation Pool for Hyperspectral Change Detection.
Remote. Sens., August, 2023

TUnet-LBF: Retinal fundus image fine segmentation model based on transformer Unet network and LBF.
Comput. Biol. Medicine, June, 2023

Log-Gabor directional region entropy adaptive guided filtering for multispectral pansharpening.
Appl. Intell., April, 2023

MCT-Net: Multi-hierarchical cross transformer for hyperspectral and multispectral image fusion.
Knowl. Based Syst., March, 2023

TSCNet: Topological Structure Coupling Network for Change Detection of Heterogeneous Remote Sensing Images.
Remote. Sens., February, 2023

SI2FM: SID Isolation Double Forest Model for Hyperspectral Anomaly Detection.
Remote. Sens., February, 2023

Parallel Spectral-Spatial Attention Network with Feature Redistribution Loss for Hyperspectral Change Detection.
Remote. Sens., January, 2023

Considering Nonoverlapped Bands Construction: A General Dictionary Learning Framework for Hyperspectral and Multispectral Image Fusion.
IEEE Trans. Geosci. Remote. Sens., 2023

SS-INR: Spatial-Spectral Implicit Neural Representation Network for Hyperspectral and Multispectral Image Fusion.
IEEE Trans. Geosci. Remote. Sens., 2023

A Novel Semi-Supervised Long-Tailed Learning Framework With Spatial Neighborhood Information for Hyperspectral Image Classification.
IEEE Geosci. Remote. Sens. Lett., 2023

2022
BS2T: Bottleneck Spatial-Spectral Transformer for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2022

MS-Pansharpening Algorithm Based on Dual Constraint Guided Filtering.
Remote. Sens., 2022

CSANet: Cross-Temporal Interaction Symmetric Attention Network for Hyperspectral Image Change Detection.
IEEE Geosci. Remote. Sens. Lett., 2022

Multi-attentive hierarchical dense fusion net for fusion classification of hyperspectral and LiDAR data.
Inf. Fusion, 2022

Hyperspectral image change detection based on active convolutional neural network and spatial-spectral affinity graph learning.
Appl. Soft Comput., 2022

2021
Sensing Textures: Tactile Resistance.
Proceedings of the ISWC 2021: Proceedings of the 2021 ACM International Symposium on Wearable Computers, 2021

A Novel Hyperspectral Image Change Detection Framework Based on 3D-Wavelet Domain Active Convolutional Neural Network.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020
A Hyperspectral Image NSST-HMF Model and Its Application in HS-Pansharpening.
IEEE Trans. Geosci. Remote. Sens., 2020

An image NSCT-HMT model based on copula entropy multivariate Gaussian scale mixtures.
Knowl. Based Syst., 2020

2019
An adaptable active contour model for medical image segmentation based on region and edge information.
Multim. Tools Appl., 2019

The UDWT image denoising method based on the PDE model of a convexity-preserving diffusion function.
EURASIP J. Image Video Process., 2019

The PAN and MS Image Pansharpening Algorithm Based on Adaptive Neural Network and Sparse Representation in the NSST Domain.
IEEE Access, 2019

2018
Remote sensing image magnification study based on the adaptive mixture diffusion model.
Inf. Sci., 2018

The NSCT-HMT Model of Remote Sensing Image Based on Gaussian-Cauchy Mixture Distribution.
IEEE Access, 2018

2016
Image segmentation model based on adaptive adjustment of global and local information.
Int. J. Imaging Syst. Technol., 2016


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