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Author

Zhengxia Zou

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Preprint Aug 2026

LoRetta: A Foundation Model and Extensive Dataset for Global-Scale Remote Sensing Dense Image Matching

LoRetta is proposed, a foundation model coupling matchability-aware affine localization with guided dense registration with LEVIR-GM, a global-scale multi-temporal optical matching benchmark with dataset-native matchability labels and establishes a unified evaluation protocol for sparse, semi-dense, and dense matchers.

Siwei Yu, Han Guo, Z. Shi et al. · 0 citations

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