Jinhuan Xu

According to our database, Jinhuan Xu authored at least 9 papers between 2016 and 2024.

Collaborative distances:

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

2024

Unsupervised hyperspectral images classification using hypergraph convolutional extreme learning machines.

Hongrui Zhang, Hongfei Lv, Mengke Wang, Luyao Wang, Jinhuan Xu, Fenggui Wang, Xiangdong Li

IET Image Process., July, 2024

Hyperspectral Imaging Based Nonwoven Fabric Defect Detection Method Using LL-YOLOv5.

Hongfei Lv, Hongrui Zhang, Mengke Wang, Jinhuan Xu, Xiangdong Li, Chengye Liu

IEEE Access, 2024

2021

Unified Low-Rank Subspace Clustering with Dynamic Hypergraph for Hyperspectral Image.

Jinhuan Xu, Liang Xiao, Jingxiang Yang

Remote. Sens., 2021

Hypergraph-Regularized Low-Rank Subspace Clustering Using Superpixels for Unsupervised Spatial-Spectral Hyperspectral Classification.

Jinhuan Xu, James E. Fowler, Liang Xiao

IEEE Geosci. Remote. Sens. Lett., 2021

Hyperspectral Image Denoising with Collaborative Total Variation and Low Rank Regularization.

Lu Yang, Jinhuan Xu, Liang Xiao

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

2018

A Novel Hyperspectral Image Clustering Method With Context-Aware Unsupervised Discriminative Extreme Learning Machine.

Jinhuan Xu, Heng Li, Pengfei Liu, Liang Xiao

IEEE Access, 2018

Discriminative Pixel-Pairwise Constraint-Guided Extreme Learning Machine for Semi-Supervised Hyperspectral Image Classification.

Jinhuan Xu, Pengfei Liu, Le Sun, Liang Xiao

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

2017

Spectral-spatial subspace clustering for hyperspectral images VIA modulated low-rank representation.

Jinhuan Xu, Nan Huang, Liang Xiao

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2016

ELM-based spectral-spatial classification of hyperspectral images using bilateral filtering information on spectral band-subsets.

Yu Shen, Jinhuan Xu, Heng Li, Liang Xiao

Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016