Residual-based neural network for unmodeled distortions in 2D coordinate transformationOA
Residual-based neural network for unmodeled distortions in 2D coordinate transformation
Vinicius Francisco Rofatto;Marcelo Tomio Matsuoka;Ivandro Klein;Mauricio Roberto Veronez
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,BrazilInstitute 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,BrazilDepartment 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,BrazilAdvanced Visualization & Geoinformatics Lab-VizLab,Unisinos University,São Leopoldo 93022-750,Rio Grande do Sul,Brazil
Artificial intelligenceMachine learningModellingNonlinear systemsModel selectionExplainable AI
Artificial intelligenceMachine learningModellingNonlinear systemsModel selectionExplainable AI
《大地测量与地球动力学（英文版）》 2026 (1)
104-119,16
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.
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