Nanying Li

Orcid: 0000-0001-5219-1644

According to our database1, Nanying Li authored at least 21 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Texture-Aware Self-Attention Model for Hyperspectral Tree Species Classification.
IEEE Trans. Geosci. Remote. Sens., 2024

SQformer: Spectral-Query Transformer for Hyperspectral Image Arbitrary-Scale Super-Resolution.
IEEE Trans. Geosci. Remote. Sens., 2024

LGCT: Local-Global Collaborative Transformer for Fusion of Hyperspectral and Multispectral Images.
IEEE Trans. Geosci. Remote. Sens., 2024

2022
Superpixel-Guided Variable Gabor Phase Coding Fusion for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2022

A Multiscale Superpixel-Level Group Clustering Framework for Hyperspectral Band Selection.
IEEE Trans. Geosci. Remote. Sens., 2022

Spectral Context-aware Transformer for Cholangiocarcinoma Hyperspectral Image Segmentation.
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.
Proceedings of the 2022 11th International Conference on Computing and Pattern Recognition, 2022

Principal component self-attention mechanism for melanoma hyperspectral image recognition.
Proceedings of the 2022 11th International Conference on Computing and Pattern Recognition, 2022

2021
Structure-Aware Multikernel Learning for Hyperspectral Image Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

A survey: Deep learning for hyperspectral image classification with few labeled samples.
Neurocomputing, 2021

Superpixel Regularized Multiple kernel Gabor Fusion for Hyperspectral Image Classification.
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.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

Hyperspectral anomaly detection via density peak clustering.
Pattern Recognit. Lett., 2020

Density Peak Covariance Matrix for Feature Extraction of Hyperspectral Image.
IEEE Geosci. Remote. Sens. Lett., 2020

2019
Hyperspectral Anomaly Detection via Spatial Density Background Purification.
Remote. Sens., 2019

Hyperspectral Image Classification with Multi-Scale Feature Extraction.
Remote. Sens., 2019

Hyperspectral image classification with a class-dependent spatial-spectral mixed metric.
Pattern Recognit. Lett., 2019

Density Peak Based Covariance Matrix for Hyperspectral Images Classification.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018
Hyperspectral Image Classification via Superpixel Correlation Coefficient Representation.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

Classification of hyperspectral images via weighted spatial correlation representation.
J. Vis. Commun. Image Represent., 2018

Spatial-spectral classification of hyperspectral image via group tensor decomposition.
Neurocomputing, 2018


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