Kuiliang Gao
Orcid: 0000-0002-2145-199X
According to our database1,
Kuiliang Gao
authored at least 16 papers
between 2020 and 2024.
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Collaborative distances:
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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
Attention Prompt-Driven Source-Free Adaptation for Remote Sensing Images Semantic Segmentation.
IEEE Geosci. Remote. Sens. Lett., 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
IEEE Trans. Geosci. Remote. Sens., 2021
2020
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020
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