Comparison of machine learning and statistical approaches for digital elevation model (dem) correction: interim results

HIGHLIGHTS

• What: The authors comparatively evaluate three gradient boosted decision trees (XGBoost LightGBM and CatBoost) and multiple linear regression for the correction of two publicly available global DEMs: Copernicus GLO-30 and ALOS World 3D (AW3D) in Cape Town South Africa.
• Who: Chukwuma Okolie et al. from the ISPRS TC II Mid-term Symposium "The Role of Photogrammetry for a Sustainable World", June, Las Vegas, Nevada, USA Department of Surveying and Geoinformatics, University of Lagos, Nigeria have published the article: Comparison of machine learning and statistical approaches for Digital Elevation Model (DEM) correction: interim results, in . . .
  

   

  

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