DSM BASED ORIENTATION OF LARGE STEREO SATELLITE IMAGE BLOCKS

18 citations as recorded by crossref.

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4. SRTM DEM-Aided Mapping Satellite-1 Image Geopositioning Without Ground Control Points X. Chen et al. https://doi.org/10.1109/LGRS.2017.2755059
5. Pursuing 3-D Scene Structures With Optical Satellite Images From Affine Reconstruction to Euclidean Reconstruction P. Wang et al. https://doi.org/10.1109/TGRS.2022.3213546
6. Robust Correction of Relative Geometric Errors Among GaoFen-7 Regional Stereo Images Based on Posteriori Compensation Y. Pi et al. https://doi.org/10.1109/JSTARS.2022.3169474
7. Automatic Geolocation Correction of Satellite Imagery O. Ozcanli et al. https://doi.org/10.1007/s11263-015-0852-7
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11. A framework for SAR-optical stereogrammetry over urban areas H. Bagheri et al. https://doi.org/10.1016/j.isprsjprs.2018.10.003
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13. Application of 30-meter global digital elevation models for compensating rational polynomial coefficients biases A. Alizadeh Naeini et al. https://doi.org/10.1080/10106049.2019.1573854
14. Fusion of multispectral imagery and DSMs for building change detection using belief functions and reliabilities J. Tian & J. Dezert https://doi.org/10.1080/19479832.2018.1513957
15. Geolocation bias correction for CARTOSAT-1 stereo images through virtual ground control points generation over mountainous areas N. Tatar https://doi.org/10.1007/s12145-024-01606-x
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17. Subpixel-shifted Satellite Images Superresolution: Software Implementation S. Stankevich et al. https://doi.org/10.37394/23205.2020.19.5
18. Investigating the Applicability of Cartosat-1 DEMs and Topographic Maps to Localize Large-Area Urban Mass Concentrations M. Wurm et al. https://doi.org/10.1109/JSTARS.2014.2346655