mlsanityData to 14 Oct 2026

Urban Change Detection for Multispectral Earth Observation Using Convolutional Neural Networks

arXiv 1810.08468 ↗First posted 19 Oct 2018cs.CV cs.LGcited by 110

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Abstract (arXiv)

The Copernicus Sentinel-2 program now provides multispectral images at a global scale with a high revisit rate. In this paper we explore the usage of convolutional neural networks for urban change detection using such multispectral images. We first present the new change detection dataset that was used for training the proposed networks, which will be openly available to serve as a benchmark. The Onera Satellite Change Detection (OSCD) dataset is composed of pairs of multispectral aerial images, and the changes were manually annotated at pixel level. We then propose two architectures to detect changes, Siamese and Early Fusion, and compare the impact of using different numbers of spectral channels as inputs. These architectures are trained from scratch using the provided dataset.

Key facts. Cited by 110 papers in the map (data through 14 Oct 2026). First posted on arXiv 19 Oct 2018.

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Citing papers per year: 2021: 17; 2022: 16; 2023: 16; 2024: 20; 2025: 23; 2026: 18.

110 papers.

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  1. 2021Remote Sensing Image Change Detection with Transformerscited by 306
  2. 2023SpectralGPT: Spectral Remote Sensing Foundation Modelcited by 252
  3. 2021Seasonal Contrast: Unsupervised Pre-Training from Uncurated Remote Sensing Datacited by 215
  4. 2023SkySense: A Multi-Modal Remote Sensing Foundation Model Towards Universal Interpretation for Earth Observation Imagerycited by 205
  5. 2023Towards Geospatial Foundation Models via Continual Pretrainingcited by 109
  6. 2022SSL4EO-S12: A Large-Scale Multi-Modal, Multi-Temporal Dataset for Self-Supervised Learning in Earth Observationcited by 84
  7. 2022DynamicEarthNet: Daily Multi-Spectral Satellite Dataset for Semantic Change Segmentationcited by 78
  8. 2021S2Looking: A Satellite Side-Looking Dataset for Building Change Detectioncited by 77
  9. 2021TorchGeo: Deep Learning With Geospatial Datacited by 73
  10. 2024HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Modelcited by 73
  11. 2024MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretrainingcited by 66
  12. 2021Change is Everywhere: Single-Temporal Supervised Object Change Detection in Remote Sensing Imagerycited by 64
38 more
  1. 2022Transformers in Remote Sensing: A Surveycited by 61
  2. 2021Self-Supervised Material and Texture Representation Learning for Remote Sensing Taskscited by 49
  3. 2022Fully Convolutional Change Detection Framework with Generative Adversarial Network for Unsupervised, Weakly Supervised and Regional Supervised Change Detectioncited by 46
  4. 2022EarthNets: Empowering AI in Earth Observationcited by 40
  5. 2021On Circuit-based Hybrid Quantum Neural Networks for Remote Sensing Imagery Classificationcited by 33
  6. 2022Revisiting Consistency Regularization for Semi-supervised Change Detection in Remote Sensing Imagescited by 30
  7. 2024Multi-Label Guided Soft Contrastive Learning for Efficient Earth Observation Pretrainingcited by 28
  8. 2025SkySense V2: A Unified Foundation Model for Multi-modal Remote Sensingcited by 26
  9. 2021Super-resolution-based Change Detection Network with Stacked Attention Module for Images with Different Resolutionscited by 23
  10. 2022Unsupervised Change Detection Based on Image Reconstruction Losscited by 22
  11. 2023Remote Sensing Change Detection With Transformers Trained from Scratchcited by 22
  12. 2021Self-supervised pre-training enhances change detection in Sentinel-2 imagerycited by 21
  13. 2023Extending global-local view alignment for self-supervised learning with remote sensing imagerycited by 20
  14. 2021Self-Supervised Multisensor Change Detectioncited by 19
  15. 2022Self-Pair: Synthesizing Changes from Single Source for Object Change Detection in Remote Sensing Imagerycited by 19
  16. 2025A Survey on Remote Sensing Foundation Models: From Vision to Multimodalitycited by 19
  17. 2023There Are No Data Like More Data- Datasets for Deep Learning in Earth Observationcited by 16
  18. 2023Extended Agriculture-Vision: An Extension of a Large Aerial Image Dataset for Agricultural Pattern Analysiscited by 14
  19. 2024SwiMDiff: Scene-wide Matching Contrastive Learning with Diffusion Constraint for Remote Sensing Imagecited by 14
  20. 2022RDP-Net: Region Detail Preserving Network for Change Detectioncited by 13
  21. 2021A Multiscale Graph Convolutional Network for Change Detection in Homogeneous and Heterogeneous Remote Sensing Imagescited by 12
  22. 2023SAAN: Similarity-aware attention flow network for change detection with VHR remote sensing imagescited by 12
  23. 2023VcT: Visual change Transformer for Remote Sensing Image Change Detectioncited by 11
  24. 2024A2-MAE: A spatial-temporal-spectral unified remote sensing pre-training method based on anchor-aware masked autoencodercited by 11
  25. 2024OpenSatMap: A Fine-grained High-resolution Satellite Dataset for Large-scale Map Constructioncited by 11
  26. 2024SeaMo: A Season-Aware Multimodal Foundation Model for Remote Sensingcited by 11
  27. 2025RoMA: Scaling up Mamba-based Foundation Models for Remote Sensingcited by 11
  28. 2022Inferring 3D change detection from bitemporal optical imagescited by 10
  29. 2021Self-supervised Remote Sensing Images Change Detection at Pixel-levelcited by 9
  30. 2025A Survey of Sample-Efficient Deep Learning for Change Detection in Remote Sensing: Tasks, Strategies, and Challengescited by 9
  31. 2021Spatial Context Awareness for Unsupervised Change Detection in Optical Satellite Imagescited by 8
  32. 2021Weakly Supervised Change Detection Using Guided Anisotropic Difusioncited by 8
  33. 2024CityPulse: Fine-Grained Assessment of Urban Change with Street View Time Seriescited by 8
  34. 2024Single-Temporal Supervised Learning for Universal Remote Sensing Change Detectioncited by 8
  35. 2022SeasoNet: A Seasonal Scene Classification, segmentation and Retrieval dataset for satellite Imagery over Germanycited by 7
  36. 2024Swin2-MoSE: A New Single Image Super-Resolution Model for Remote Sensingcited by 7
  37. 2022Urban Change Forecasting from Satellite Imagescited by 6
  38. 2024ChangeViT: Unleashing Plain Vision Transformers for Change Detectioncited by 6

50 most cited of 110 All 110 (JSON)