Xin He

According to our database, Xin He authored at least 24 papers between 2018 and 2024.

Collaborative distances:

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

2024

Spectral-Spatial Mamba for Hyperspectral Image Classification.

Lingbo Huang, Yushi Chen, Xin He

Remote. Sens., July, 2024

Co-Training Transformer for Remote Sensing Image Classification, Segmentation, and Detection.

Qingyun Li, Yushi Chen, Xin He, Lingbo Huang

IEEE Trans. Geosci. Remote. Sens., 2024

Foundation Model-Based Spectral-Spatial Transformer for Hyperspectral Image Classification.

Lingbo Huang, Yushi Chen, Xin He

IEEE Trans. Geosci. Remote. Sens., 2024

Foundation Model-Based Multimodal Remote Sensing Data Classification.

Xin He, Yushi Chen, Lingbo Huang, Danfeng Hong, Qian Du

IEEE Trans. Geosci. Remote. Sens., 2024

An Ensemble Learning-Based Transformer for Radar Jamming Recognition with Insufficient Samples.

Menglu Zhang, Xin He, Yushi Chen, Ye Zhang

Proceedings of the IGARSS 2024, 2024

Swin Transformer with Improved Blind-Spot Network for SAR Target Classification.

Xin He, Yushi Chen, Lingbo Huang, Menglu Zhang

Proceedings of the IGARSS 2024, 2024

2023

Spectral-Spatial Masked Transformer With Supervised and Contrastive Learning for Hyperspectral Image Classification.

Lingbo Huang, Yushi Chen, Xin He

IEEE Trans. Geosci. Remote. Sens., 2023

Bayesian Deep Learning for Hyperspectral Image Classification With Low Uncertainty.

Xin He, Yushi Chen, Lingbo Huang

IEEE Trans. Geosci. Remote. Sens., 2023

2022

Toward a Trustworthy Classifier With Deep CNN: Uncertainty Estimation Meets Hyperspectral Image.

Xin He, Yushi Chen, Lingbo Huang

IEEE Trans. Geosci. Remote. Sens., 2022

Dual Graph Convolutional Network for Hyperspectral Image Classification With Limited Training Samples.

Xin He, Yushi Chen, Pedram Ghamisi

IEEE Trans. Geosci. Remote. Sens., 2022

Supervised Contrastive Learning-Based Classification for Hyperspectral Image.

Lingbo Huang, Yushi Chen, Xin He, Pedram Ghamisi

Remote. Sens., 2022

Soft Augmentation-Based Siamese CNN for Hyperspectral Image Classification With Limited Training Samples.

Weiquan Wang, Yushi Chen, Xin He, Zhaokui Li

IEEE Geosci. Remote. Sens. Lett., 2022

Two-Branch Pure Transformer for Hyperspectral Image Classification.

Xin He, Yushi Chen, Qingyun Li

IEEE Geosci. Remote. Sens. Lett., 2022

2021

Weakly Supervised Classification of Hyperspectral Image Based on Complementary Learning.

Lingbo Huang, Yushi Chen, Xin He

Remote. Sens., 2021

Spatial-Spectral Transformer for Hyperspectral Image Classification.

Xin He, Yushi Chen, Zhouhan Lin

Remote. Sens., 2021

Modifications of the Multi-Layer Perceptron for Hyperspectral Image Classification.

Xin He, Yushi Chen

Remote. Sens., 2021

Transferring CNN Ensemble for Hyperspectral Image Classification.

Xin He, Yushi Chen

IEEE Geosci. Remote. Sens. Lett., 2021

Boosting CNN for Hyperspectral Image Classification.

Haoyu Zhang, Yushi Chen, Xin He, Xingliang Shen

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

2020

Heterogeneous Transfer Learning for Hyperspectral Image Classification Based on Convolutional Neural Network.

Xin He, Yushi Chen, Pedram Ghamisi

IEEE Trans. Geosci. Remote. Sens., 2020

2019

Automatic Design of Convolutional Neural Network for Hyperspectral Image Classification.

Yushi Chen, Kaiqiang Zhu, Lin Zhu, Xin He, Pedram Ghamisi, Jón Atli Benediktsson

IEEE Trans. Geosci. Remote. Sens., 2019

Deep Learning Ensemble for Hyperspectral Image Classification.

Yushi Chen, Ying Wang, Yanfeng Gu, Xin He, Pedram Ghamisi, Xiuping Jia

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019

LiDAR Data Classification Using Spatial Transformation and CNN.

Xin He, Aili Wang, Pedram Ghamisi, Guoyu Li, Yushi Chen

IEEE Geosci. Remote. Sens. Lett., 2019

Optimized Input for CNN-Based Hyperspectral Image Classification Using Spatial Transformer Network.

Xin He, Yushi Chen

IEEE Geosci. Remote. Sens. Lett., 2019

2018

LiDAR Data Classification Using Morphological Profiles and Convolutional Neural Networks.

Aili Wang, Xin He, Pedram Ghamisi, Yushi Chen

IEEE Geosci. Remote. Sens. Lett., 2018