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GB-InSAR can construct high-resolution 2D images in a range-doppler plane. However, it is difficult for geo-engineers who are unfamiliar with radar monitoring geometry to interpret the results. Geometric mapping method has been applied to the co-registration of terrain models and radar images for the deformation zonation, but the mismatching correction with GB-InSAR and terrain model is not fully investigated by existing researches. To address this issue, this paper proposes a method exploiting an optimum linear transformation based on ground control points (GCPs). The proposed method was evaluated on simulated data and a field campaign in an open pit mine. The deformation mapping result of the method was verified by a collapse event. The method proposed in this paper has an RMSE value ranging from 0.502 to 0.720[Formula: see text]m (@700[Formula: see text]m average monitoring range) when the average density of the terrain point cloud is 0.5[Formula: see text]m. Although this method cannot accurately evaluate the antenna footprint vector deflection parameters, it can meet the needs of coarse matching calibration in relatively flat slope sub-target areas of open-pit mines for engineering applications. <\/jats:p>","DOI":"10.1142\/s021812662550001x","type":"journal-article","created":{"date-parts":[[2024,7,12]],"date-time":"2024-07-12T15:33:55Z","timestamp":1720798435000},"source":"Crossref","is-referenced-by-count":1,"title":["Rectifying Discrepancies Between GB-SAR Images and Terrain Model Caused by Measurement Deviations in Open-Pit Mines"],"prefix":"10.1142","volume":"33","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5819-1215","authenticated-orcid":false,"given":"Xiangtian","family":"Zheng","sequence":"first","affiliation":[{"name":"School of Computer Engineering, Nanjing Institute of Technology, Nanjing, Jiangsu 211167, P.\u00a0R.\u00a0China"},{"name":"School of Geography and Marine Science, Nanjing, Jiangsu 210023, 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