mlsanityData to 7 Oct 2026

EarthMatch: Iterative Coregistration for Fine-grained Localization of Astronaut Photography

arXiv 2405.05422 ↗First posted 8 May 2024cs.CVcited by 13

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Abstract (arXiv)

Precise, pixel-wise geolocalization of astronaut photography is critical to unlocking the potential of this unique type of remotely sensed Earth data, particularly for its use in disaster management and climate change research. Recent works have established the Astronaut Photography Localization task, but have either proved too costly for mass deployment or generated too coarse a localization. Thus, we present EarthMatch, an iterative homography estimation method that produces fine-grained localization of astronaut photographs while maintaining an emphasis on speed. We refocus the astronaut photography benchmark, AIMS, on the geolocalization task itself, and prove our method's efficacy on this dataset. In addition, we offer a new, fair method for image matcher comparison, and an extensive evaluation of different matching models within our localization pipeline. Our method will enable fast and accurate localization of the 4.5 million and growing collection of astronaut photography of Earth. Webpage with code and data at https://earthloc-and-earthmatch.github.io

Key facts. Cited by 13 papers in the map (data through 7 Oct 2026). Builds on 32 of its 64 references that are in the map. First posted on arXiv 8 May 2024.

Builds on

32 of 64 references.

References · 32

  1. 2023DINOv2: Learning Robust Visual Features without Supervisioncited by 7,764
  2. 2019SuperGlue: Learning Feature Matching with Graph Neural Networkscited by 1,437
  3. 2017SuperPoint: Self-Supervised Interest Point Detection and Descriptioncited by 1,313
  4. 2015ORB-SLAM: a Versatile and Accurate Monocular SLAM Systemcited by 983
  5. 2021LoFTR: Detector-Free Local Feature Matching with Transformerscited by 974
  6. 2018MegaDepth: Learning Single-View Depth Prediction from Internet Photoscited by 731
  7. 2023LightGlue: Local Feature Matching at Light Speedcited by 583
  8. 2018From Coarse to Fine: Robust Hierarchical Localization at Large Scalecited by 556
  9. 2020DISK: Learning local features with policy gradientcited by 310
  10. 2017HPatches: A benchmark and evaluation of handcrafted and learned local descriptorscited by 261
  11. 2016Large-Scale Image Retrieval with Attentive Deep Local Featurescited by 238
  12. 2021Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognitioncited by 236
20 more
  1. 2020Image Matching across Wide Baselines: From Paper to Practicecited by 224
  2. 2019R2D2: Repeatable and Reliable Detector and Descriptorcited by 206
  3. 2022DKM: Dense Kernelized Feature Matching for Geometry Estimationcited by 174
  4. 2022ASpanFormer: Detector-Free Image Matching with Adaptive Span Transformercited by 170
  5. 2022QuadTree Attention for Vision Transformerscited by 129
  6. 2020Patch2Pix: Epipolar-Guided Pixel-Level Correspondencescited by 128
  7. 2022MatchFormer: Interleaving Attention in Transformers for Feature Matchingcited by 126
  8. 2023ALIKED: A Lighter Keypoint and Descriptor Extraction Network via Deformable Transformationcited by 120
  9. 2023R2Former: Unified Retrieval and Reranking Transformer for Place Recognitioncited by 102
  10. 2021ALIKE: Accurate and Lightweight Keypoint Detection and Descriptor Extractioncited by 77
  11. 2023DeDoDe: Detect, Don't Describe -- Describe, Don't Detect for Local Feature Matchingcited by 62
  12. 2023SiLK -- Simple Learned Keypointscited by 54
  13. 2024Towards Seamless Adaptation of Pre-trained Models for Visual Place Recognitioncited by 49
  14. 2022Iterative Deep Homography Estimationcited by 45
  15. 2022Adaptive Assignment for Geometry Aware Local Feature Matchingcited by 30
  16. 2022A case for using rotation invariant features in state of the art feature matcherscited by 27
  17. 2023Are Local Features All You Need for Cross-Domain Visual Place Recognition?cited by 21
  18. 2023Steerers: A framework for rotation equivariant keypoint descriptorscited by 21
  19. 2024EarthLoc: Astronaut Photography Localization by Indexing Earth from Spacecited by 7
  20. 2023Image Matching by Bare Homographycited by 5

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 1; 2025: 5; 2026: 7.

13 papers.

Sort:

  1. 2025RoMa v2: Harder Better Faster Denser Feature Matchingcited by 44
  2. 2024Mismatched: Evaluating the Limits of Image Matching Approaches and Benchmarkscited by 4
  3. 2025SegMASt3R: Geometry Grounded Segment Matchingcited by 4
  4. 2025To Match or Not to Match: Revisiting Image Matching for Reliable Visual Place Recognitioncited by 3
  5. 2025Metadata-free Georegistration of Ground and Airborne Imagerycited by 2
  6. 2026Are Pretrained Image Matchers Good Enough for SAR-Optical Satellite Registration?cited by 2
  7. 2025AstroLoc: Robust Space to Ground Image Localizercited by 1
  8. 2026Who Handles Orientation? Investigating Invariance in Feature Matchingcited by 1
  9. 2026AsymLoc: Towards Asymmetric Feature Matching for Efficient Visual Localizationcited by 0
  10. 2026LoRetta: A Foundation Model and Extensive Dataset for Global-Scale Remote Sensing Dense Image Matchingcited by 0
  11. 2026Pixel-wise Geo-registration of Drone and Satellite Imagescited by 0
  12. 2026FoundYou: A Unified Model for Personalized Segmentation and Retrievalcited by 0
1 more
  1. 2026AdaptVPR: Route-Aware Hard Positive Generation for Robust Visual Place Recognitioncited by 0