mlsanityData to 7 Oct 2026

Multi-Spectral Multi-Image Super-Resolution of Sentinel-2 with Radiometric Consistency Losses and Its Effect on Building Delineation

arXiv 2111.03231 ↗First posted 5 Nov 2021eess.IV cs.CVcited by 19

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Abstract (arXiv)

High resolution remote sensing imagery is used in broad range of tasks, including detection and classification of objects. High-resolution imagery is however expensive, while lower resolution imagery is often freely available and can be used by the public for range of social good applications. To that end, we curate a multi-spectral multi-image super-resolution dataset, using PlanetScope imagery from the SpaceNet 7 challenge as the high resolution reference and multiple Sentinel-2 revisits of the same imagery as the low-resolution imagery. We present the first results of applying multi-image super-resolution (MISR) to multi-spectral remote sensing imagery. We, additionally, introduce a radiometric consistency module into MISR model the to preserve the high radiometric resolution of the Sentinel-2 sensor. We show that MISR is superior to single-image super-resolution and other baselines on a range of image fidelity metrics. Furthermore, we conduct the first assessment of the utility of multi-image super-resolution on building delineation, showing that utilising multiple images results in better performance in these downstream tasks.

Key facts. Cited by 19 papers in the map (data through 7 Oct 2026). Builds on 24 of its 40 references that are in the map. First posted on arXiv 5 Nov 2021.

Builds on

24 of 40 references.

References · 24

  1. 2016Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Networkcited by 1,898
  2. 2019Deep High-Resolution Representation Learning for Visual Recognitioncited by 1,417
  3. 2018ESRGAN: Enhanced Super-Resolution Generative Adversarial Networkscited by 1,250
  4. 2014Image Super-Resolution Using Deep Convolutional Networkscited by 1,218
  5. 2019Segmentation Transformer: Object-Contextual Representations for Semantic Segmentationcited by 573
  6. 2016Accelerating the Super-Resolution Convolutional Neural Networkcited by 393
  7. 2019Deep Learning for Image Super-resolution: A Surveycited by 368
  8. 2020SRFlow: Learning the Super-Resolution Space with Normalizing Flowcited by 209
  9. 2016Deep Image Homography Estimationcited by 135
  10. 2019A Deep Journey into Super-resolution: A surveycited by 86
  11. 2019Handheld Multi-Frame Super-Resolutioncited by 85
  12. 2021Deep Burst Super-Resolutioncited by 83
12 more
  1. 2020On hallucinations in tomographic image reconstructioncited by 66
  2. 2021The Multi-Temporal Urban Development SpaceNet Datasetcited by 62
  3. 2018The Effects of Super-Resolution on Object Detection Performance in Satellite Imagerycited by 57
  4. 2019Explorable Super Resolutioncited by 44
  5. 2020HighRes-net: Recursive Fusion for Multi-Frame Super-Resolution of Satellite Imagerycited by 42
  6. 2019DeepSUM: Deep neural network for Super-resolution of Unregistered Multitemporal imagescited by 30
  7. 2019ColorMapGAN: Unsupervised Domain Adaptation for Semantic Segmentation Using Color Mapping Generative Adversarial Networkscited by 26
  8. 2020Multi-image Super Resolution of Remotely Sensed Images using Residual Feature Attention Deep Neural Networkscited by 22
  9. 2019Super-Resolution of PROBA-V Images Using Convolutional Neural Networkscited by 17
  10. 2020Cross-Sensor Adversarial Domain Adaptation of Landsat-8 and Proba-V images for Cloud Detectioncited by 7
  11. 2020Estimating Crop Primary Productivity with Sentinel-2 and Landsat 8 using Machine Learning Methods Trained with Radiative Transfer Simulationscited by 7
  12. 2017Joint Gaussian Processes for Biophysical Parameter Retrievalcited by 6

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 3; 2023: 4; 2024: 4; 2025: 7; 2026: 1.

19 papers.

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  1. 2023DiffusionSat: A Generative Foundation Model for Satellite Imagerycited by 130
  2. 2022SuperYOLO: Super Resolution Assisted Object Detection in Multimodal Remote Sensing Imagerycited by 46
  3. 2022Open High-Resolution Satellite Imagery: The WorldStrat Dataset -- With Application to Super-Resolutioncited by 40
  4. 2022MuS2: A Real-World Benchmark for Sentinel-2 Multi-Image Super-Resolutioncited by 13
  5. 2024Deep Learning for Satellite Image Time Series Analysis: A Reviewcited by 13
  6. 2023Multitemporal and multispectral data fusion for super-resolution of Sentinel-2 imagescited by 9
  7. 2023LSwinSR: UAV Imagery Super-Resolution based on Linear Swin Transformercited by 6
  8. 2024Advancing Supervised Local Learning Beyond Classification with Long-term Feature Bankcited by 6
  9. 2024Continuous Urban Change Detection from Satellite Image Time Series with Temporal Feature Refinement and Multi-Task Integrationcited by 5
  10. 2025Spiking Meets Attention: Efficient Remote Sensing Image Super-Resolution with Attention Spiking Neural Networkscited by 5
  11. 2023Zooming Out on Zooming In: Advancing Super-Resolution for Remote Sensingcited by 3
  12. 2024Earth System Data Cubes: Avenues for advancing Earth system researchcited by 3
7 more
  1. 2025Can Location Embeddings Enhance Super-Resolution of Satellite Imagery?cited by 2
  2. 2025Toward task-driven satellite image super-resolutioncited by 0
  3. 2025Leveraging Land Cover Priors for Isoprene Emission Super-Resolutioncited by 0
  4. 2025Beyond Pretty Pictures: Combined Single- and Multi-Image Super-resolution for Sentinel-2 Imagescited by 0
  5. 2025Controllable Reference Guided Diffusion with Local Global Fusion for Real World Remote Sensing Image Super Resolutioncited by 0
  6. 2025SatFusion: A Unified Framework for Enhancing Remote Sensing Images via Multi-Frame and Multi-Source Images Fusioncited by 0
  7. 2026TinyNina: A Resource-Efficient Edge-AI Framework for Sustainable Air Quality Monitoring via Intra-Image Satellite Super-Resolutioncited by 0