首页|期刊导航|大地测量与地球动力学（英文版）|Residual-based neural network for unmodeled distortions in 2D coordinate transformation

Residual-based neural network for unmodeled distortions in 2D coordinate transformation

Vinicius Francisco Rofatto Marcelo Tomio Matsuoka Ivandro Klein Mauricio Roberto Veronez

大地测量与地球动力学（英文版）2026，Vol.17Issue(1)：104-119,16.

大地测量与地球动力学（英文版）2026，Vol.17Issue(1)：104-119,16.DOI:10.1016/j.geog.2025.06.005

Residual-based neural network for unmodeled distortions in 2D coordinate transformation

Vinicius Francisco Rofatto ¹Marcelo Tomio Matsuoka ¹Ivandro Klein ²Mauricio Roberto Veronez³

作者信息

1. Institute of Geography,Geosciences and Collective Health,Federal University of Uberlandia(UFU),Monte Carmelo Campus,Minas Gerais 38500-000,Brazil||Graduate Program in Agriculture and Geospatial Information,Federal University of Uberlandia(UFU),Monte Carmelo Campus,Minas Gerais 38500-000,Brazil
2. Department of Civil Construction,Federal Institute of Education,Science and Technology of Santa Catarina(IFSC),Florianópolis Campus,Florianópolis 88020-300,Santa Catarina,Brazil||Graduate Program in Geodetic Sciences,Sector of Earth Sciences,Federal University of Paraná(UFPR),Curitiba 81531-990,Paraná,Brazil
3. Advanced Visualization & Geoinformatics Lab-VizLab,Unisinos University,São Leopoldo 93022-750,Rio Grande do Sul,Brazil
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摘要

关键词

Artificial intelligence/Machine learning/Modelling/Nonlinear systems/Model selection/Explainable AI

Key words

Artificial intelligence/Machine learning/Modelling/Nonlinear systems/Model selection/Explainable AI

引用本文复制引用

Vinicius Francisco Rofatto,Marcelo Tomio Matsuoka,Ivandro Klein,Mauricio Roberto Veronez..Residual-based neural network for unmodeled distortions in 2D coordinate transformation[J].大地测量与地球动力学（英文版）,2026,17(1):104-119,16.

基金项目

The authors would like to thank the Laboratory of Topography and Geodesy at the Monte Carmelo Campus of the Federal Uni-versity of Uberlândia(UFU).This project was funded by the Na-tional Council for Scientific and Technological Development,Grant No.421278/2023-4,No.309248/2025-6. （UFU）

大地测量与地球动力学（英文版）

ISSN：1674-9847

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