Changda Xing

According to our database, Changda Xing authored at least 27 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Hierarchical Gradient Preserved Network for High Resolution Hyperspectral Fusion Imaging.

Changda Xing, Meiling Wang, Yongchang Xu, Cheng Wang

IEEE Signal Process. Lett., 2026

Context-enriched contrastive auto-encoder with topology learning for medical hyperspectral image classification to diagnose tumors.

Meiling Wang, Changda Xing, Yifang Wu, Cheng Wang

Medical Image Anal., 2026

TCNet: Topological Consistency Network for Hyperspectral and Multispectral Image Fusion.

Changda Xing, Meiling Wang, Yongchang Xu, Cheng Wang

IEEE Geosci. Remote. Sens. Lett., 2026

2025

Error Mechanisms and Calibration Scheme for Low Bias Mode-Matched Micro Resonant Gyroscopes Under Ocean Environment.

Chong Li, Changda Xing, Jin Wu, Ming Zhou, Wei Qiao

IEEE Trans. Instrum. Meas., 2025

TDAE: Tensored Deep Autoencoder for Classification of Hyperspectral Images.

Changda Xing, Meiling Wang, Xuesong Wang, Yuhu Cheng

IEEE Trans. Geosci. Remote. Sens., 2025

2024

Deep Ring-Block-Wise Network for Hyperspectral Image Classification.

Changda Xing, Jianlong Zhao, Zhisheng Wang, Meiling Wang

IEEE Trans. Neural Networks Learn. Syst., October, 2024

Prescribed Time Tracking Controller for a Class of Nonholonomic Systems: Theory and Experiment.

Yongchang Xu, Yuhua Cong, Changda Xing, Zhisheng Wang

IEEE Trans. Ind. Informatics, June, 2024

SOML: Structure-Wise Ordinal Measure Learning for Hyperspectral Image Classification.

Changda Xing, Meiling Wang, Yongchang Xu, Zhisheng Wang

IEEE Trans. Instrum. Meas., 2024

2023

Deep Network With Irregular Convolutional Kernels and Self-Expressive Property for Classification of Hyperspectral Images.

Changda Xing, Yuhua Cong, Chaowei Duan, Zhisheng Wang, Meiling Wang

IEEE Trans. Neural Networks Learn. Syst., December, 2023

Sparse coding with morphology segmentation and multi-label fusion for hyperspectral image super-resolution.

Changda Xing, Meiling Wang, Yuhua Cong, Zhisheng Wang, Chaowei Duan, Yiliu Liu

Comput. Vis. Image Underst., January, 2023

Deep Margin Cosine Autoencoder-Based Medical Hyperspectral Image Classification for Tumor Diagnosis.

Meiling Wang, Yongchang Xu, Zhisheng Wang, Changda Xing

IEEE Trans. Instrum. Meas., 2023

Binary feature learning with local spectral context-aware attention for classification of hyperspectral images.

Changda Xing, Chaowei Duan, Zhisheng Wang, Meiling Wang

Pattern Recognit., 2023

2022

Deep Encoder With Kernel-Wise Taylor Series for Hyperspectral Image Classification.

Changda Xing, Jianlong Zhao, Chaowei Duan, Zhisheng Wang, Meiling Wang

IEEE Trans. Geosci. Remote. Sens., 2022

Diagonalized Low-Rank Learning for Hyperspectral Image Classification.

Changda Xing, Meiling Wang, Zhisheng Wang, Chaowei Duan, Yiliu Liu

IEEE Trans. Geosci. Remote. Sens., 2022

Fusion of Infrared and Visible Images Using Fast Global Smoothing Decomposition and Target-Enhanced Parallel Gaussian Fuzzy Logic.

Chaowei Duan, Changda Xing, Yiliu Liu, Zhisheng Wang

Sensors, 2022

Fusion of Hyperspectral and Multispectral Images by Convolutional Sparse Representation.

Changda Xing, Yuhua Cong, Zhisheng Wang, Meiling Wang

IEEE Geosci. Remote. Sens. Lett., 2022

2021

A non-local propagation filtering scheme for edge-preserving in variational optical flow computation.

Chong Dong, Zhisheng Wang, Jiaming Han, Changda Xing, Shufang Tang

Signal Process. Image Commun., 2021

Group-Aware Low-Rank Representation for Hyperspectral Image Classification.

Changda Xing, Meiling Wang, Zhisheng Wang, Chaowei Duan, Yiliu Liu

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

A Binary Feature Representation Method for Hyperspectral Image Classification.

Changda Xing, Meiling Wang, Zhisheng Wang, Chaowei Duan, Yiliu Liu

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020

Joint sparse-collaborative representation to fuse hyperspectral and multispectral images.

Changda Xing, Meiling Wang, Chong Dong, Chaowei Duan, Zhisheng Wang

Signal Process., 2020

Using Taylor Expansion and Convolutional Sparse Representation for Image Fusion.

Changda Xing, Meiling Wang, Chong Dong, Chaowei Duan, Zhisheng Wang

Neurocomputing, 2020

Two-scale fusion method of infrared and visible images via parallel saliency features.

Chaowei Duan, Changda Xing, Shanshan Lu, Zhisheng Wang

IET Image Process., 2020

2019

Image fusion method based on spatially masked convolutional sparse representation.

Changda Xing, Zhisheng Wang, Quan Ouyang, Chong Dong, Chaowei Duan

Image Vis. Comput., 2019

Fusion of infrared and visible images with Gaussian smoothness and joint bilateral filtering iteration decomposition.

Changda Xing, Zhisheng Wang, Fan-liang Meng, Chong Dong

IET Comput. Vis., 2019

Occlusion Detection of Dense Correspondence Fields Using Motion Statistics and Triangulation.

Chong Dong, Zhisheng Wang, Changda Xing, Jiaming Han, Pingan Huang

IEEE Access, 2019

2018

Rapid handling of outliers in dense sampling descriptor correspondence fields.

Chong Dong, Zhisheng Wang, Changda Xing, Yuan Xue

J. Electronic Imaging, 2018

Method based on bitonic filtering decomposition and sparse representation for fusion of infrared and visible images.

Changda Xing, Zhisheng Wang, Quan Ouyang, Chong Dong

IET Image Process., 2018