Image segmentation model based on adaptive adjustment of global and local information. - Xiang-Hai Wang 001; Ruoxi Song; Chong Zhang; Chang Li; Lingling Fang (Int. J. Imaging Syst. Technol., 2016)

The NSCT-HMT Model of Remote Sensing Image Based on Gaussian-Cauchy Mixture Distribution. - Xiang-Hai Wang 001; Ruoxi Song; Chuanming Song 001; Jingzhe Tao (IEEE Access, 2018)

Remote sensing image magnification study based on the adaptive mixture diffusion model. - Xiang-Hai Wang 001; Ruoxi Song; Aidi Zhang; Xinnan Ai; Jingzhe Tao (Inf. Sci., 2018)

The PAN and MS Image Pansharpening Algorithm Based on Adaptive Neural Network and Sparse Representation in the NSST Domain. - Xiang-Hai Wang 001; Shifu Bai; Zhi Li; Ruoxi Song; Jingzhe Tao (IEEE Access, 2019)

The UDWT image denoising method based on the PDE model of a convexity-preserving diffusion function. - XiangHai Wang 001; Wenya Zhang; Rui Li; Ruoxi Song (EURASIP J. Image Video Process., 2019)

An adaptable active contour model for medical image segmentation based on region and edge information. - XiangHai Wang 001; Wei Li; Chong Zhang; Wanqi Lou; Ruoxi Song (Multim. Tools Appl., 2019)

An image NSCT-HMT model based on copula entropy multivariate Gaussian scale mixtures. - XiangHai Wang 001; Ruoxi Song; Zhenhua Mu; Chuanming Song 001 (Knowl. Based Syst., 2020)

A Hyperspectral Image NSST-HMF Model and Its Application in HS-Pansharpening. - XiangHai Wang 001; Zhenhua Mu; Ruoxi Song; Jingzhe Tao; Chuanming Song 001 (IEEE Trans. Geosci. Remote. Sens., 2020)

A Novel Hyperspectral Image Change Detection Framework Based on 3D-Wavelet Domain Active Convolutional Neural Network. - XiangHai Wang 001; Chengdi Xing; Yining Feng; Ruoxi Song; Zhenhua Mu (IGARSS, 2021)

Sensing Textures: Tactile Resistance. - Afroditi Psarra; Sadaf Sadri; Esteban Agosin; Grace Barar; Rylie Sweem; Cindy Xu; Ruoxi Song; Zoe Kaputa (ISWC, 2021)

Hyperspectral image change detection based on active convolutional neural network and spatial-spectral affinity graph learning. - Ruoxi Song; Yining Feng; Chengdi Xing; Zhenhua Mu; XiangHai Wang 001 (Appl. Soft Comput., 2022)

Multi-attentive hierarchical dense fusion net for fusion classification of hyperspectral and LiDAR data. - XiangHai Wang 001; Yining Feng; Ruoxi Song; Zhenhua Mu; Chuanming Song 001 (Inf. Fusion, 2022)

CSANet: Cross-Temporal Interaction Symmetric Attention Network for Hyperspectral Image Change Detection. - Ruoxi Song; Weihan Ni; Wei Cheng; Xiang-Hai Wang 001 (IEEE Geosci. Remote. Sens. Lett., 2022)

MS-Pansharpening Algorithm Based on Dual Constraint Guided Filtering. - Xiang-Hai Wang 001; Zhenhua Mu; Shifu Bai; Yining Feng; Ruoxi Song (Remote. Sens., 2022)

BS2T: Bottleneck Spatial-Spectral Transformer for Hyperspectral Image Classification. - Ruoxi Song; Yining Feng; Wei Cheng; Zhenhua Mu; Xiang-Hai Wang 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

A Novel Semi-Supervised Long-Tailed Learning Framework With Spatial Neighborhood Information for Hyperspectral Image Classification. - Yining Feng; Ruoxi Song; Weihan Ni; Junheng Zhu; Xiang-Hai Wang 001 (IEEE Geosci. Remote. Sens. Lett., 2023)

SS-INR: Spatial-Spectral Implicit Neural Representation Network for Hyperspectral and Multispectral Image Fusion. - Xinying Wang 005; Cheng Cheng; Shenglan Liu 001; Ruoxi Song; Xiang-Hai Wang 001; Lin Feng 001 (IEEE Trans. Geosci. Remote. Sens., 2023)

Considering Nonoverlapped Bands Construction: A General Dictionary Learning Framework for Hyperspectral and Multispectral Image Fusion. - Yan Zhang 068; Lifu Zhang; Ruoxi Song; Changping Huang; Qingxi Tong (IEEE Trans. Geosci. Remote. Sens., 2023)

Parallel Spectral-Spatial Attention Network with Feature Redistribution Loss for Hyperspectral Change Detection. - Yixiang Huang; Lifu Zhang; Changping Huang; Wenchao Qi; Ruoxi Song (Remote. Sens., 2023)

SI2FM: SID Isolation Double Forest Model for Hyperspectral Anomaly Detection. - Zhenhua Mu; Ming Wang; Yihan Wang; Ruoxi Song; Xianghai Wang 001 (Remote. Sens., 2023)

TSCNet: Topological Structure Coupling Network for Change Detection of Heterogeneous Remote Sensing Images. - Xianghai Wang 001; Wei Cheng; Yining Feng; Ruoxi Song (Remote. Sens., 2023)

MCT-Net: Multi-hierarchical cross transformer for hyperspectral and multispectral image fusion. - Xiang-Hai Wang 001; Xinying Wang 005; Ruoxi Song; Xiao-Yang Zhao 003; Keyun Zhao (Knowl. Based Syst., 2023)

Log-Gabor directional region entropy adaptive guided filtering for multispectral pansharpening. - Xianghai Wang 001; Zhenhua Mu; Shifu Bai; Ming Wang; Ruoxi Song; Jingzhe Tao; Chuanming Song 001 (Appl. Intell., 2023)

TUnet-LBF: Retinal fundus image fine segmentation model based on transformer Unet network and LBF. - Hanyu Zhang; Weihan Ni; Yi Luo; Yining Feng; Ruoxi Song; Xiang-Hai Wang 001 (Comput. Biol. Medicine, 2023)

Contrastive Self-Supervised Two-Domain Residual Attention Network with Random Augmentation Pool for Hyperspectral Change Detection. - Yixiang Huang; Lifu Zhang; Wenchao Qi; Changping Huang; Ruoxi Song (Remote. Sens., 2023)

Semi-Supervised HyperMatch-Driven Cross Temporal and Spatial Interaction Transformer for Hyperspectral Change Detection. - Yixiang Huang; Lifu Zhang; Wenchao Qi; Ruoxi Song; Changping Huang; Yi Cen (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Exploring Conflict-Matching Learning With Temporal Weight-Sharing and Bandwise Spatial-Interacting Transformer for Hyperspectral Change Detection. - Yixiang Huang; Lifu Zhang; Yi Cen; Ruoxi Song; Wenchao Qi; Changping Huang (IEEE Trans. Geosci. Remote. Sens., 2024)

S2EFT: Spectral-Spatial-Elevation Fusion Transformer for hyperspectral image and LiDAR classification. - Yining Feng; Junheng Zhu; Ruoxi Song; Xiang-Hai Wang 001 (Knowl. Based Syst., 2024)

A General Deep Learning Point-Surface Fusion Framework for RGB Image Super-Resolution. - Yan Zhang 068; Lifu Zhang; Ruoxi Song; Qingxi Tong (Remote. Sens., 2024)