mlsanityData to 7 Oct 2026

A Multi-Scale and Multi-Depth Convolutional Neural Network for Remote Sensing Imagery Pan-Sharpening

arXiv 1712.09809 ↗First posted 28 Dec 2017cs.CVcited by 54

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Abstract (arXiv)

Pan-sharpening is a fundamental and significant task in the field of remote sensing imagery processing, in which high-resolution spatial details from panchromatic images are employed to enhance the spatial resolution of multi-spectral (MS) images. As the transformation from low spatial resolution MS image to high-resolution MS image is complex and highly non-linear, inspired by the powerful representation for non-linear relationships of deep neural networks, we introduce multi-scale feature extraction and residual learning into the basic convolutional neural network (CNN) architecture and propose the multi-scale and multi-depth convolutional neural network (MSDCNN) for the pan-sharpening of remote sensing imagery. Both the quantitative assessment results and the visual assessment confirm that the proposed network yields high-resolution MS images that are superior to the images produced by the compared state-of-the-art methods.

Key facts. Cited by 54 papers in the map (data through 7 Oct 2026). First posted on arXiv 28 Dec 2017.

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Citing papers per year: 2021: 9; 2022: 7; 2023: 11; 2024: 12; 2025: 9; 2026: 6.

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  1. 2022Deep Learning in Multimodal Remote Sensing Data Fusion: A Comprehensive Reviewcited by 73
  2. 2024Pan-Mamba: Effective pan-sharpening with State Space Modelcited by 73
  3. 2021Deep Gradient Projection Networks for Pan-sharpeningcited by 44
  4. 2022Memory-augmented Deep Unfolding Network for Guided Image Super-resolutioncited by 25
  5. 2023Unsupervised Hyperspectral Pansharpening via Low-rank Diffusion Modelcited by 19
  6. 2022PanFormer: a Transformer Based Model for Pan-sharpeningcited by 18
  7. 2023PanFlowNet: A Flow-Based Deep Network for Pan-sharpeningcited by 16
  8. 2021Pansharpening by convolutional neural networks in the full resolution frameworkcited by 15
  9. 2024Frequency-Adaptive Pan-Sharpening with Mixture of Expertscited by 13
  10. 2021Hyperspectral Denoising Using Unsupervised Disentangled Spatio-Spectral Deep Priorscited by 12
  11. 2021Model Inspired Autoencoder for Unsupervised Hyperspectral Image Super-Resolutioncited by 10
  12. 2021Full-resolution quality assessment for pansharpeningcited by 8
38 more
  1. 2023Unsupervised Deep Learning-based Pansharpening with Jointly-Enhanced Spectral and Spatial Fidelitycited by 8
  2. 2023A Spectral Diffusion Prior for Hyperspectral Image Super-Resolutioncited by 8
  3. 2024Shuffle Mamba: State Space Models with Random Shuffle for Multi-Modal Image Fusioncited by 7
  4. 2021A Triple-Double Convolutional Neural Network for Panchromatic Sharpeningcited by 6
  5. 2023DDRF: Denoising Diffusion Model for Remote Sensing Image Fusioncited by 6
  6. 2021Unsupervised Cycle-consistent Generative Adversarial Networks for Pan-sharpeningcited by 5
  7. 2022Proximal PanNet: A Model-Based Deep Network for Pansharpeningcited by 5
  8. 2023Learned Image Reasoning Prior Penetrates Deep Unfolding Network for Panchromatic and Multi-Spectral Image Fusioncited by 5
  9. 2024Scene Prior Filtering for Depth Super-Resolutioncited by 5
  10. 2024Perspective-Equivariance for Unsupervised Imaging with Camera Geometrycited by 5
  11. 2024Linearly-evolved Transformer for Pan-sharpeningcited by 5
  12. 2024Variational Zero-shot Multispectral Pansharpeningcited by 5
  13. 2024FusionRF: High-Fidelity Satellite Neural Radiance Fields from Multispectral and Panchromatic Acquisitionscited by 5
  14. 2024U-Know-DiffPAN: An Uncertainty-aware Knowledge Distillation Diffusion Framework with Details Enhancement for PAN-Sharpeningcited by 5
  15. 2022Panchromatic and Multispectral Image Fusion via Alternating Reverse Filtering Networkcited by 4
  16. 2023Probability-based Global Cross-modal Upsampling for Pansharpeningcited by 4
  17. 2025PAN-Crafter: Learning Modality-Consistent Alignment for PAN-Sharpeningcited by 3
  18. 2024Neural Shr"odinger Bridge Matching for Pansharpeningcited by 2
  19. 2024Multi-Head Attention Residual Unfolded Network for Model-Based Pansharpeningcited by 2
  20. 2025Pan-LUT: Efficient Pan-sharpening via Learnable Look-Up Tablescited by 2
  21. 2025SMART-Ship: A Comprehensive Synchronized Multi-modal Aligned Remote Sensing Targets Dataset and Benchmark for Berthed Ships Analysiscited by 2
  22. 2025Enpowering Your Pansharpening Models with Generalizability: Unified Distribution is All You Needcited by 2
  23. 2026Cross-Scale Pansharpening via ScaleFormer and the PanScale Benchmarkcited by 2
  24. 2026When Images Look Right and Retrieve Wrong: Coverage-Guided Cross-Scale Re-Indexing for Knowledge-Faithful Generative Perceptioncited by 2
  25. 2021Deep Convolutional Sparse Coding Network for Pansharpening with Guidance of Side Informationcited by 1
  26. 2023SDRCNN: A single-scale dense residual connected convolutional neural network for pansharpeningcited by 1
  27. 2023PanBench: Towards High-Resolution and High-Performance Pansharpeningcited by 1
  28. 2024Heterogeneous Network Based Contrastive Learning Method for PolSAR Land Cover Classificationcited by 1
  29. 2025Leveraging Large-Scale Pretrained Spatial-Spectral Priors for General Zero-Shot Pansharpeningcited by 1
  30. 2025MCR-VQGAN: A Scalable and Cost-Effective Tau PET Synthesis Approach for Alzheimer's Disease Imagingcited by 1
  31. 2021Pan-sharpening via High-pass Modification Convolutional Neural Networkcited by 0
  32. 2022Deep dual stream residual network with contextual attention for pansharpening of remote sensing imagescited by 0
  33. 2022PC-GANs: Progressive Compensation Generative Adversarial Networks for Pan-sharpeningcited by 0
  34. 2023Learning to Pan-sharpening with Memories of Spatial Detailscited by 0
  35. 2023Understanding Pan-Sharpening via Generalized Inversecited by 0
  36. 2025Progressive Alignment Degradation Learning for Pansharpeningcited by 0
  37. 2025SatFusion: A Unified Framework for Enhancing Remote Sensing Images via Multi-Frame and Multi-Source Images Fusioncited by 0
  38. 2025Near--Real-Time Conflict-Related Fire Detection in Sudan Using Unsupervised Deep Learningcited by 0

50 most cited of 54 All 54 (JSON)