Wei Tu

Orcid: 0000-0002-2673-2192

Affiliations:

Jiangxi Science and Technology Normal University, Nanchang, China

According to our database¹, Wei Tu authored at least 22 papers between 2020 and 2025.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of five.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2025

FDGM: Fourier With Dropout in Global Modeling for Pansharpening.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

Invertible Attention-Guided Adaptive Convolution and Dual-Domain Transformer for Pansharpening.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

2024

VSDM: Variable-Scale Diffusion Model Based on Dynamic Condition Guidance for Pansharpening.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2024

Cross-Scale Interaction With Spatial-Spectral Enhanced Window Attention for Pansharpening.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

2023

Intensity mixture and band-adaptive detail fusion for pansharpening.

[BibT_eX]

[DOI]

Pattern Recognit., July, 2023

STCP: Synergistic Transformer and Convolutional Neural Network for Pansharpening.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2023

AWFLN: An Adaptive Weighted Feature Learning Network for Pansharpening.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2023

Multi-scale Spatial-Spectral Attention Guided Fusion Network for Pansharpening.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

CTCP: Cross Transformer and CNN for Pansharpening.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

MMPN: Multi-supervised Mask Protection Network for Pansharpening.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

A Unified Pansharpening Model Based on Band-Adaptive Gradient and Detail Correction.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2022

Dual-Stream Convolutional Neural Network With Residual Information Enhancement for Pansharpening.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2022

MMDN: Multi-Scale and Multi-Distillation Dilated Network for Pansharpening.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2022

Low-light image enhancement network based on multi-stream information supplement.

[BibT_eX]

[DOI]

Multidimens. Syst. Signal Process., 2022

DCNP: Dual-Information Compensation Network for Pansharpening.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2022

An Efficient Pansharpening Approach Based on Texture Correction and Detail Refinement.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2022

2021

Pansharpening Based on Joint-Guided Detail Extraction.

[BibT_eX]

[DOI]

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

An efficient and high-quality pansharpening model based on conditional random fields.

[BibT_eX]

[DOI]

Inf. Sci., 2021

2020

Multiband Remote Sensing Image Pansharpening Based on Dual-Injection Model.

[BibT_eX]

[DOI]

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

PCDRN: Progressive Cascade Deep Residual Network for Pansharpening.

[BibT_eX]

[DOI]

Remote. Sens., 2020

Remote Sensing Image Fusion Based on Fuzzy Logic and Salience Measure.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2020

An Efficient Pansharpening Method Based On Conditional Random Fields.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

Wei Tu

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