Xuchu Yu

发表

Spectral-spatial classification of hyperspectral imagery based on recurrent neural networks

Pengqiang Zhang, Xuchu Yu, Anzhu Yu, 2018, Remote Sensing Letters.

Small sample classification for hyperspectral imagery using temporal convolution and attention mechanism

Bing Liu, Xuchu Yu, Kuiliang Gao, 2021 .

Self-Supervised Feature Representation and Few-Shot Land Cover Classification of Multimodal Remote Sensing Images

Bing Liu, Xuchu Yu, Anzhu Yu, 2022, IEEE Transactions on Geoscience and Remote Sensing.

Perceiving Spectral Variation: Unsupervised Spectrum Motion Feature Learning for Hyperspectral Image Classification

L. Ding, Bing Liu, Xuchu Yu, 2022, IEEE Transactions on Geoscience and Remote Sensing.

Semi-supervised classification of hyperspectral imagery based on stacked autoencoders

Xuchu Yu, Qiongying Fu, Zhixiang Xue, 2016, International Conference on Digital Image Processing.

Graph inductive learning method for small sample classification of hyperspectral remote sensing images

Bing Liu, Xuchu Yu, Pengqiang Zhang, 2020 .

Deep Induction Network for Small Samples Classification of Hyperspectral Images

Bing Liu, Xuchu Yu, Anzhu Yu, 2020, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Exploiting Discriminative Advantage of Spectrum for Hyperspectral Image Classification: SpectralFormer Enhanced by Spectrum Motion Feature

Bing Liu, Xuchu Yu, Anzhu Yu, 2023, IEEE Geoscience and Remote Sensing Letters.

Deep Hierarchical Vision Transformer for Hyperspectral and LiDAR Data Classification

Bing Liu, Xuchu Yu, Anzhu Yu, 2022, IEEE Transactions on Image Processing.

Resolution reconstruction classification: fully octave convolution network with pyramid attention mechanism for hyperspectral image classification

Bing Liu, Xuchu Yu, Anzhu Yu, 2022, International Journal of Remote Sensing.

Deep Multiview Learning for Hyperspectral Image Classification

Bing Liu, Xuchu Yu, Ruirui Wang, 2021, IEEE Transactions on Geoscience and Remote Sensing.

Deep Relation Network for Hyperspectral Image Few-Shot Classification

Pengqiang Zhang, Xuchu Yu, Jinchun Qin, 2020, Remote. Sens..

Deep Few-Shot Learning for Hyperspectral Image Classification

Gang Wan, Bing Liu, Pengqiang Zhang, 2019, IEEE Transactions on Geoscience and Remote Sensing.

Hyperspectral image classification with deep 3D capsule network and Markov random field

Xuchu Yu, Zhixiang Xue, Kuiliang Gao, 2021, IET Image Process..

HResNetAM: Hierarchical Residual Network With Attention Mechanism for Hyperspectral Image Classification

Xuchu Yu, Zhixiang Xue, Xiangpo Wei, 2021, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

DSS-TRM: deep spatial–spectral transformer for hyperspectral image classification

Bing Liu, Xuchu Yu, Anzhu Yu, 2022, European Journal of Remote Sensing.

Convolutional neural networks and local binary patterns for hyperspectral image classification

Lu Zhi, Bing Liu, Xuchu Yu, 2019, European Journal of Remote Sensing.

Unsupervised Meta Learning With Multiview Constraints for Hyperspectral Image Small Sample set Classification

Bing Liu, Xuchu Yu, Anzhu Yu, 2022, IEEE Transactions on Image Processing.

Multiscale Deep Learning Network With Self-Calibrated Convolution for Hyperspectral and LiDAR Data Collaborative Classification

Xuchu Yu, Zhixiang Xue, Anzhu Yu, 2022, IEEE Transactions on Geoscience and Remote Sensing.

Supervised Deep Feature Extraction for Hyperspectral Image Classification

Bing Liu, Pengqiang Zhang, Xuchu Yu, 2018, IEEE Transactions on Geoscience and Remote Sensing.

Small sample classification of hyperspectral image using model-agnostic meta-learning algorithm and convolutional neural network

Bing Liu, Xuchu Yu, Pengqiang Zhang, 2021, International Journal of Remote Sensing.

Multiscale nested U-Net for small sample classification of hyperspectral images

Bing Liu, Xuchu Yu, Anzhu Yu, 2022, Journal of Applied Remote Sensing.

A semi-supervised convolutional neural network for hyperspectral image classification

Bing Liu, Pengqiang Zhang, Xuchu Yu, 2017 .

Deep convolutional recurrent neural network with transfer learning for hyperspectral image classification

Bing Liu, Gang Wan, Xuchu Yu, 2018, Journal of Applied Remote Sensing.

Patch-Free Bilateral Network for Hyperspectral Image Classification Using Limited Samples

Xuchu Yu, Bing Liu, Bing Liu, 2021, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

From Video to Hyperspectral: Hyperspectral Image-Level Feature Extraction with Transfer Learning

L. Ding, Bing Liu, Xuchu Yu, 2022, Remote. Sens..

Hyperspectral imagery classification based on relevance vector machines

Xuchu Yu, Guopeng Yang, Wufa Feng, 2009, International Symposium on Multispectral Image Processing and Pattern Recognition.

Salient feature extraction for hyperspectral image classification

Bing Liu, Xuchu Yu, Ruirui Wang, 2019, Remote Sensing Letters.

Self-Supervised Feature Learning for Multimodal Remote Sensing Image Land Cover Classification

Bing Liu, Xuchu Yu, Anzhu Yu, 2022, IEEE Transactions on Geoscience and Remote Sensing.

FSL-EGNN: Edge-Labeling Graph Neural Network for Hyperspectral Image Few-Shot Classification

Bing Liu, Xuchu Yu, Pengqiang Zhang, 2022, IEEE Transactions on Geoscience and Remote Sensing.

Deep hierarchical transformer for change detection in high-resolution remote sensing images

Bing Liu, Xuchu Yu, Anzhu Yu, 2023, European Journal of Remote Sensing.