Nanying Li

According to our database, Nanying Li authored at least 19 papers between 2018 and 2024.

Collaborative distances:

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

2024

Texture-Aware Self-Attention Model for Hyperspectral Tree Species Classification.

Nanying Li, Shuguo Jiang, Jiaqi Xue, Songxin Ye, Sen Jia

IEEE Trans. Geosci. Remote. Sens., 2024

2022

Superpixel-Guided Variable Gabor Phase Coding Fusion for Hyperspectral Image Classification.

Shuyu Zhang, Dingding Tang, Nanying Li, Xiuping Jia, Sen Jia

IEEE Trans. Geosci. Remote. Sens., 2022

A Multiscale Superpixel-Level Group Clustering Framework for Hyperspectral Band Selection.

Sen Jia, Yue Yuan, Nanying Li, Jianhui Liao, Qiang Huang, Xiuping Jia, Meng Xu

IEEE Trans. Geosci. Remote. Sens., 2022

Spectral Context-aware Transformer for Cholangiocarcinoma Hyperspectral Image Segmentation.

Nanying Li, Jiaqi Xue, Sen Jia

Proceedings of the ICIGP 2022: The 5th International Conference on Image and Graphics Processing, Beijing, China, January 7, 2022

HSI-DETR: A DETR-based Transfer Learning from RGB to Hyperspectral Images for Object Detection of Live and Dead Cells: To achieve better results, convert models with the fewest changes from RGB to HSI.

Songxin Ye, Nanying Li, Jiaqi Xue, Yaqian Long, Sen Jia

Proceedings of the 2022 11th International Conference on Computing and Pattern Recognition, 2022

Principal component self-attention mechanism for melanoma hyperspectral image recognition.

Hong Liang, Nanying Li, Jiaqi Xue, Yaqian Long, Sen Jia

Proceedings of the 2022 11th International Conference on Computing and Pattern Recognition, 2022

2021

Structure-Aware Multikernel Learning for Hyperspectral Image Classification.

Chengle Zhou, Bing Tu, Nanying Li, Wei He, Antonio Plaza

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

A survey: Deep learning for hyperspectral image classification with few labeled samples.

Sen Jia, Shuguo Jiang, Zhijie Lin, Nanying Li, Meng Xu, Shiqi Yu

Neurocomputing, 2021

Superpixel Regularized Multiple kernel Gabor Fusion for Hyperspectral Image Classification.

Dingding Tang, Sen Jia, Nanying Li

Proceedings of the ICCPR '21: 10th International Conference on Computing and Pattern Recognition, Shanghai, China, October 15, 2021

2020

Hyperspectral Anomaly Detection Via Dual Collaborative Representation.

Guoyun Zhang, Nanying Li, Bing Tu, Zhuolang Liao, Yishu Peng

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

Hyperspectral anomaly detection via density peak clustering.

Bing Tu, Xianchang Yang, Nanying Li, Chengle Zhou, Danbing He

Pattern Recognit. Lett., 2020

Density Peak Covariance Matrix for Feature Extraction of Hyperspectral Image.

Guangzhe Zhao, Nanying Li, Bing Tu, Guoyun Zhang, Wei He

IEEE Geosci. Remote. Sens. Lett., 2020

2019

Hyperspectral Anomaly Detection via Spatial Density Background Purification.

Bing Tu, Nanying Li, Zhuolang Liao, Xianfeng Ou, Guoyun Zhang

Remote. Sens., 2019

Hyperspectral Image Classification with Multi-Scale Feature Extraction.

Bing Tu, Nanying Li, Leyuan Fang, Danbing He, Pedram Ghamisi

Remote. Sens., 2019

Hyperspectral image classification with a class-dependent spatial-spectral mixed metric.

Bing Tu, Nanying Li, Leyuan Fang, Xianchang Yang, Jianhui Wu

Pattern Recognit. Lett., 2019

Density Peak Based Covariance Matrix for Hyperspectral Images Classification.

Bing Tu, Nanying Li, Wenlan Kuang, Jinping Wang, Chengle Zhou

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018

Hyperspectral Image Classification via Superpixel Correlation Coefficient Representation.

Bing Tu, Xianchang Yang, Nanying Li, Xianfeng Ou, Wei He

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

Classification of hyperspectral images via weighted spatial correlation representation.

Bing Tu, Nanying Li, Leyuan Fang, Hongyan Fei, Danbing He

J. Vis. Commun. Image Represent., 2018

Spatial-spectral classification of hyperspectral image via group tensor decomposition.

Guangzhe Zhao, Bing Tu, Hongyan Fei, Nanying Li, Xianchang Yang

Neurocomputing, 2018