mlsanityData to 14 Oct 2026

Target-adaptive CNN-based pansharpening

arXiv 1709.06054 ↗First posted 18 Sep 2017cs.CVcited by 20

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Abstract (arXiv)

We recently proposed a convolutional neural network (CNN) for remote sensing image pansharpening obtaining a significant performance gain over the state of the art. In this paper, we explore a number of architectural and training variations to this baseline, achieving further performance gains with a lightweight network which trains very fast. Leveraging on this latter property, we propose a target-adaptive usage modality which ensures a very good performance also in the presence of a mismatch w.r.t. the training set, and even across different sensors. The proposed method, published online as an off-the-shelf software tool, allows users to perform fast and high-quality CNN-based pansharpening of their own target images on general-purpose hardware.

Key facts. Cited by 20 papers in the map (data through 14 Oct 2026). First posted on arXiv 18 Sep 2017.

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2021: 7; 2022: 3; 2023: 5; 2024: 2; 2025: 2; 2026: 1.

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  1. 2022Deep Learning in Multimodal Remote Sensing Data Fusion: A Comprehensive Reviewcited by 73
  2. 2021Pansharpening by convolutional neural networks in the full resolution frameworkcited by 15
  3. 2021Model Inspired Autoencoder for Unsupervised Hyperspectral Image Super-Resolutioncited by 10
  4. 2021Full-resolution quality assessment for pansharpeningcited by 8
  5. 2023Unsupervised Deep Learning-based Pansharpening with Jointly-Enhanced Spectral and Spatial Fidelitycited by 8
  6. 2023A Spectral Diffusion Prior for Hyperspectral Image Super-Resolutioncited by 8
  7. 2024Hyperspectral Pansharpening: Critical Review, Tools and Future Perspectivescited by 8
  8. 2023Band-wise Hyperspectral Image Pansharpening using CNN Model Propagationcited by 6
  9. 2024Test-time Training for Hyperspectral Image Super-resolutioncited by 2
  10. 2021LDP-Net: An Unsupervised Pansharpening Network Based on Learnable Degradation Processescited by 1
  11. 2023A full-resolution training framework for Sentinel-2 image fusioncited by 1
  12. 2025Zero-Shot Hyperspectral Pansharpening Using Hysteresis-Based Tuning for Spectral Quality Controlcited by 1
8 more
  1. 2021Learning deep multiresolution representations for pansharpeningcited by 0
  2. 2021Pan-sharpening via High-pass Modification Convolutional Neural Networkcited by 0
  3. 2021Deep Learning and Earth Observation to Support the Sustainable Development Goalscited by 0
  4. 2022Efficient and Accurate Hyperspectral Pansharpening Using 3D VolumeNet and 2.5D Texture Transfercited by 0
  5. 2022PC-GANs: Progressive Compensation Generative Adversarial Networks for Pan-sharpeningcited by 0
  6. 2023Understanding Pan-Sharpening via Generalized Inversecited by 0
  7. 2025DSConv: Dynamic Splitting Convolution for Pansharpeningcited by 0
  8. 2026GSPan: A Continuous Gaussian Primitive Representation for Arbitrary-Scale Pansharpeningcited by 0