Xiong Tan

发表

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.

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

Bing Liu, Xuchu Yu, Pengqiang Zhang, 2020 .

Deep Hierarchical Vision Transformer for Hyperspectral and LiDAR Data Classification

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

Deep Relation Network for Hyperspectral Image Few-Shot Classification

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

Spectral-spatial multi-layer perceptron network for hyperspectral image land cover classification

Xiong Tan, Zhixiang Xue, 2022, European Journal of 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.

A hyperspectral image fusion algorithm based on Compressive Sensing

Wei Chen, Ting Jiang, Anzhu Yu, 2012, 2012 4th Workshop on Hyperspectral Image and Signal Processing (WHISPERS).

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.

Deep global-local transformer network combined with extended morphological profiles for hyperspectral image classification

Kuiliang Gao, Bing Liu, Xiong Tan, 2021, Journal of Applied 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.

A semi-supervised convolutional neural network for hyperspectral image classification

Bing Liu, Pengqiang Zhang, Xuchu Yu, 2017 .

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.