mlsanityData to 14 Oct 2026

OpenSatMap: A Fine-grained High-resolution Satellite Dataset for Large-scale Map Construction

arXiv 2410.23278 ↗First posted 30 Oct 2024cs.CVcited by 11

Not on the map. Why?

Abstract (arXiv)

In this paper, we propose OpenSatMap, a fine-grained, high-resolution satellite dataset for large-scale map construction. Map construction is one of the foundations of the transportation industry, such as navigation and autonomous driving. Extracting road structures from satellite images is an efficient way to construct large-scale maps. However, existing satellite datasets provide only coarse semantic-level labels with a relatively low resolution (up to level 19), impeding the advancement of this field. In contrast, the proposed OpenSatMap (1) has fine-grained instance-level annotations; (2) consists of high-resolution images (level 20); (3) is currently the largest one of its kind; (4) collects data with high diversity. Moreover, OpenSatMap covers and aligns with the popular nuScenes dataset and Argoverse 2 dataset to potentially advance autonomous driving technologies. By publishing and maintaining the dataset, we provide a high-quality benchmark for satellite-based map construction and downstream tasks like autonomous driving.

Key facts. Cited by 11 papers in the map (data through 14 Oct 2026). Builds on 34 of its 63 references that are in the map. First posted on arXiv 30 Oct 2024.

Builds on

34 of 63 references.

References · 34

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  12. 2018DeepGlobe 2018: A Challenge to Parse the Earth through Satellite Imagescited by 277
22 more
  1. 2021LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentationcited by 261
  2. 2022SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentationcited by 252
  3. 2022VectorMapNet: End-to-end Vectorized HD Map Learningcited by 245
  4. 2019BigEarthNet: A Large-Scale Benchmark Archive For Remote Sensing Image Understandingcited by 234
  5. 2021Object Detection in Aerial Images: A Large-Scale Benchmark and Challengescited by 204
  6. 2020FloodNet: A High Resolution Aerial Imagery Dataset for Post Flood Scene Understandingcited by 181
  7. 2018SpaceNet: A Remote Sensing Dataset and Challenge Seriescited by 179
  8. 2018xView: Objects in Context in Overhead Imagerycited by 146
  9. 2021Panoptic Segmentation of Satellite Image Time Series with Convolutional Temporal Attention Networkscited by 143
  10. 2018Urban Change Detection for Multispectral Earth Observation Using Convolutional Neural Networkscited by 110
  11. 2018RoadTracer: Automatic Extraction of Road Networks from Aerial Imagescited by 102
  12. 2023Neural Map Prior for Autonomous Drivingcited by 68
  13. 2021The Multi-Temporal Urban Development SpaceNet Datasetcited by 62
  14. 2020Agriculture-Vision: A Large Aerial Image Database for Agricultural Pattern Analysiscited by 61
  15. 2020Sat2Graph: Road Graph Extraction through Graph-Tensor Encodingcited by 55
  16. 2024P-MapNet: Far-seeing Map Generator Enhanced by both SDMap and HDMap Priorscited by 54
  17. 2018Learning RoI Transformer for Detecting Oriented Objects in Aerial Imagescited by 37
  18. 2020Hi-UCD: A Large-scale Dataset for Urban Semantic Change Detection in Remote Sensing Imagerycited by 33
  19. 2020Semi-Supervised Semantic Segmentation in Earth Observation: The MiniFrance Suite, Dataset Analysis and Multi-task Network Studycited by 28
  20. 2023Learning and Aggregating Lane Graphs for Urban Automated Drivingcited by 20
  21. 2023DropPos: Pre-Training Vision Transformers by Reconstructing Dropped Positionscited by 19
  22. 2023Building Lane-Level Maps from Aerial Imagescited by 13

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 8; 2026: 3.

11 papers.

  1. 2025GeoLLaVA-8K: Scaling Remote-Sensing Multimodal Large Language Models to 8K Resolutioncited by 44
  2. 2025LookWhere? Efficient Visual Recognition by Learning Where to Look and What to See from Self-Supervisioncited by 5
  3. 2025IRSAMap:Towards Large-Scale, High-Resolution Land Cover Map Vectorizationcited by 5
  4. 2025AID4AD: Aerial Image Data for Automated Driving Perceptioncited by 4
  5. 2025UniMapGen: A Generative Framework for Large-Scale Map Construction from Multi-modal Datacited by 4
  6. 2025SA-Occ: Satellite-Assisted 3D Occupancy Prediction in Real Worldcited by 3
  7. 2026SatMap: Revisiting Satellite Maps as Prior for Online HD Map Constructioncited by 3
  8. 2025WakeupUrban: Unsupervised Semantic Segmentation of Mid-20th century Urban Landscapes with Satellite Imagerycited by 1
  9. 2025Beyond Endpoints: Path-Centric Reasoning for Vectorized Off-Road Network Extractioncited by 0
  10. 2026HRDX: A Large-Scale Vector HD-Map Datasetcited by 0
  11. 2026LookThere! Sparse Vision by Reinforced Selectioncited by 0