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Learning to Pan-Sharpening with Memories of Spatial DetailsPreprint

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The role of image interpolation in pansharpening

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A Novel Split Deep Unfolding Transformer for Pan-Sharpening

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HTMP: Triple-Scale Multilevel Network With Hessian Spatial Loss for Pansharpening

Zhang, B., Zhang, D., Shi, S., & Guo, Z. (2025) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2025.3580088 · Cited by 1

PanRouter: Router-based dynamic decision interactive pansharpening network

Tao, H., Cheng, D., & Li, J. (2025) · Information Sciences · doi:10.1016/j.ins.2025.122516 · Cited by 1

Unleashing Fourier-Domain Potential: Spatial–Spectral Reconstruction Framework for Remote Sensing Pansharpening

Ma, M., Jiang, Y., Zhao, M., Ma, X., Zhang, W., & Song, S. (2025) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2025.3591806 · Cited by 1

Efficient super resolution-based detail injection network for multispectral pan-sharpening

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Aperture Array-Based Self-Supervised Hyperspectral Super-Resolution Imaging

Chen, Y., Huang, F., & Cao, L. (2025) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2025.3603038 · Cited by 1

Neural Shrödinger bridge matching for pansharpening

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Pan-DUSM: Deep Unfolding Network With State Space Model for Pansharpening

Li, Z., Yuan, G., & Li, J. (2025) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2025.3605358 · Cited by 1

FireRisk-Multi: A Dynamic Multimodal Fusion Framework for High-Precision Wildfire Risk Assessment

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Semantic Segmentation of Fetal Thoracic and Abdominal Organs in Prenatal Ultrasound Volumes Using Swin Transformer Networks

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High-Order Omni-Attention Paradigm for Remote Sensing Image Fusion

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Detail-preserving pansharpening through high-frequency information injection

Çivicioğlu, P., BEŞDOK, E., & Aksu, G. (2026) · Advances in Space Research · doi:10.1016/j.asr.2026.02.089 · Cited by 1

DASFusion: Diffusion-Enhanced Asymmetric Scale-Gated Fusion Network for Pansharpening

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Enhanced Pansharpening Via Quaternion Spatial-Spectral Interactions

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PSFD-Net: Progressive Supervision-Based Frequency-Domain Decoupling Network for Hyperspectral and Multispectral Image Fusion

Mou, Y., Yuan, G., Song, J., & Li, J. (2026) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2026.3691537 · Cited by 1

Hierarchical Progressive Transform With Learnable Prior for Hyperspectral Image Super-Resolution

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Boosting the Quality of Pansharpened Image by Adjusted Anchored Neighborhood Regression

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COMPONENT SUBSTITUTION NETWORK FOR PAN-SHARPENING VIA SEMI-SUPERVISED LEARNING

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Kizel, F. (2021) · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · doi:10.1109/igarss47720.2021.9555098 · Cited by 1

MMPN: Multi-supervised Mask Protection Network for Pansharpening

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Pan-Sharpening with Global Multi-scale Context Network

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CGSNet: Channel Group Shuffling Network for Remote Sensing Image Fusion

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DuCoFPan: Dual-Condition Flow-based Network for Pan-sharpening

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A Novel Dual-Branch Pansharpening Network with High-Frequency Component Enhancement and Multi-Scale Skip Connection

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Pansharpening Variational Model Based on Internal Adaptive Spatial Fidelity and External Deep-Driven Injection

Dou, H.-X., Xu, J.-L., Xiao, J.-L., & Deng, L.-J. (2025) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2025.3585107 · Cited by 1

Spatial–Spectral Dual Guided Network With Joint Attention for Pansharpening

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FusionRF: High-Fidelity Satellite Neural Radiance Fields From Multispectral and Panchromatic Acquisitions

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基于改进Swin transformer的遥感图像融合方法

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Band Independent Residual Networks for Optical Remote Sensing Images Fusion

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Cross Residual Fusion for Pansharpening

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Comparative study on spatiotemporal fusion of Sentinel-2 and Sentinel-3 images over strong temporal changes

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Hyperspectral–Multispectral Image Fusion Enhancement Based on Deep Learning

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Learning Image Downscaling for Pansharpening Using an Improved UNet

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