Kuiliang Gao

Orcid: 0000-0002-2145-199X

According to our database1, Kuiliang Gao authored at least 15 papers between 2020 and 2024.

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

Timeline

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Bibliography

2024
Integrating Multiple Sources Knowledge for Class Asymmetry Domain Adaptation Segmentation of Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2024

2023
Cross-Domain Multi-Prototypes with Contradictory Structure Learning for Semi-Supervised Domain Adaptation Segmentation of Remote Sensing Images.
Remote. Sens., July, 2023

Masked Graph Convolutional Network for Small Sample Classification of Hyperspectral Images.
Remote. Sens., April, 2023

Learning General-Purpose Representations for Cross-Domain Hyperspectral Images Classification with Small Samples.
Remote. Sens., February, 2023

Prototype and Context-Enhanced Learning for Unsupervised Domain Adaptation Semantic Segmentation of Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2023

2022
Unsupervised Meta Learning With Multiview Constraints for Hyperspectral Image Small Sample set Classification.
IEEE Trans. Image Process., 2022

Perceiving Spectral Variation: Unsupervised Spectrum Motion Feature Learning for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2022

From Video to Hyperspectral: Hyperspectral Image-Level Feature Extraction with Transfer Learning.
Remote. Sens., 2022

ES2FL: Ensemble Self-Supervised Feature Learning for Small Sample Classification of Hyperspectral Images.
Remote. Sens., 2022

Hyperspectral image classification with deep 3D capsule network and Markov random field.
IET Image Process., 2022

2021
Deep Multiview Learning for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2021

2020
Deep Induction Network for Small Samples Classification of Hyperspectral Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

Deep Relation Network for Hyperspectral Image Few-Shot Classification.
Remote. Sens., 2020

Active Deep Densely Connected Convolutional Network for Hyperspectral Image Classification.
CoRR, 2020

Morphological Attribute Profile Cube and Deep Random Forest for Small Sample Classification of Hyperspectral Image.
IEEE Access, 2020


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