A Self-interpolation Method for Digital Terrain Model Generation

[1]  Hannes Taubenböck,et al.  Normalization of TanDEM-X DSM Data in Urban Environments With Morphological Filters , 2015, IEEE Transactions on Geoscience and Remote Sensing.

[2]  Chuanfa Chen,et al.  A Fast Global Interpolation Method for Digital Terrain Model Generation from Large LiDAR-Derived Data , 2019, Remote. Sens..

[3]  Yongjun Zhang,et al.  A Two-Step Semiglobal Filtering Approach to Extract DTM From Middle Resolution DSM , 2017, IEEE Geoscience and Remote Sensing Letters.

[4]  P. Tarolli High-resolution topography for understanding Earth surface processes: Opportunities and challenges , 2014 .

[5]  Graçaliz Pereira Dimuro,et al.  A Novel Formulation for Inverse Distance Weighting from Weighted Linear Regression , 2020, ICCS.

[6]  Oguz Gungor,et al.  Comparison of the performances of ground filtering algorithms and DTM generation from a UAV-based point cloud , 2018 .

[7]  Norbert Pfeifer,et al.  Repetitive interpolation: A robust algorithm for DTM generation from Aerial Laser Scanner Data in forested terrain☆ , 2007 .

[8]  Graçaliz Pereira Dimuro,et al.  A point interpolation algorithm resulting from weighted linear regression , 2021, J. Comput. Sci..

[9]  Domen Mongus,et al.  Computationally Efficient Method for the Generation of a Digital Terrain Model From Airborne LiDAR Data Using Connected Operators , 2014, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[10]  John P. Wilson,et al.  Digital terrain modeling , 2012 .

[11]  Mohamed Rached Boussema,et al.  TERRA: Terrain Extraction from elevation Rasters through Repetitive Anisotropic filtering , 2020, Int. J. Appl. Earth Obs. Geoinformation.