Xiaolong Liao

According to our database, Xiaolong Liao authored at least 8 papers between 2020 and 2024.

Collaborative distances:

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

2024

Hyperspectral Image Classification via Multiscale Multiangle Attention Network.

Jianghong Hu, Bing Tu, Qi Ren, Xiaolong Liao, Zhaolou Cao, Antonio Plaza

IEEE Trans. Geosci. Remote. Sens., 2024

2023

Class-wise Graph Embedding-Based Active Learning for Hyperspectral Image Classification.

Xiaolong Liao, Bing Tu, Jun Li, Antonio Plaza

IEEE Trans. Geosci. Remote. Sens., 2023

2022

Local Semantic Feature Aggregation-Based Transformer for Hyperspectral Image Classification.

Bing Tu, Xiaolong Liao, Qianming Li, Yishu Peng, Antonio Plaza

IEEE Trans. Geosci. Remote. Sens., 2022

Multi-resolution Pyramid Enhanced Non-local Feature Extraction for Hyperspectral Classification.

Bing Tu, Xiaolong Liao, Qianming Li, Chengle Zhou, Antonio Plaza

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

2021

Feature Extraction Using Multitask Superpixel Auxiliary Learning for Hyperspectral Classification.

Bing Tu, Xiaolong Liao, Chengle Zhou, Siyuan Chen, Wei He

IEEE Trans. Instrum. Meas., 2021

Feature Extraction via 3-D Block Characteristics Sharing for Hyperspectral Image Classification.

Bing Tu, Chengle Zhou, Xiaolong Liao, Qianming Li, Yishu Peng

IEEE Trans. Geosci. Remote. Sens., 2021

Spectral-Spatial Hyperspectral Classification via Structural-Kernel Collaborative Representation.

Bing Tu, Chengle Zhou, Xiaolong Liao, Guoyun Zhang, Yishu Peng

IEEE Geosci. Remote. Sens. Lett., 2021

2020

Hierarchical Structure-Based Noisy Labels Detection for Hyperspectral Image Classification.

Bing Tu, Chengle Zhou, Xiaolong Liao, Zhi Xu, Yishu Peng, Xianfeng Ou

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020