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ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume X-1/W1-2023
https://doi.org/10.5194/isprs-annals-X-1-W1-2023-925-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/isprs-annals-X-1-W1-2023-925-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
05 Dec 2023
| 05 Dec 2023
DSM2DTM: AN END-TO-END DEEP LEARNING APPROACH FOR DIGITAL TERRAIN MODEL GENERATION
K. Bittner
Remote Sensing Technology Institute, German Aerospace Center (DLR), Weßling, Germany
S. Zorzi
Institute of Computer Graphics and Vision, Graz University of Technology, Austria
Remote Sensing Technology Institute, German Aerospace Center (DLR), Weßling, Germany
P. d’Angelo
Remote Sensing Technology Institute, German Aerospace Center (DLR), Weßling, Germany
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H. Bagheri, M. Schmitt, P. d’Angelo, and X. X. Zhu
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 43–48, https://doi.org/10.5194/isprs-archives-XLII-2-43-2018, https://doi.org/10.5194/isprs-archives-XLII-2-43-2018, 2018
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Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 103–108, https://doi.org/10.5194/isprs-archives-XLII-2-103-2018, https://doi.org/10.5194/isprs-archives-XLII-2-103-2018, 2018
Y. Xia, J. Tian, P. d’Angelo, and P. Reinartz
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2, 303–309, https://doi.org/10.5194/isprs-annals-IV-2-303-2018, https://doi.org/10.5194/isprs-annals-IV-2-303-2018, 2018
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Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1-W1, 115–120, https://doi.org/10.5194/isprs-archives-XLII-1-W1-115-2017, https://doi.org/10.5194/isprs-archives-XLII-1-W1-115-2017, 2017
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Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1-W1, 393–397, https://doi.org/10.5194/isprs-archives-XLII-1-W1-393-2017, https://doi.org/10.5194/isprs-archives-XLII-1-W1-393-2017, 2017
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Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1-W1, 55–61, https://doi.org/10.5194/isprs-archives-XLII-1-W1-55-2017, https://doi.org/10.5194/isprs-archives-XLII-1-W1-55-2017, 2017
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Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B1, 299–304, https://doi.org/10.5194/isprs-archives-XLI-B1-299-2016, https://doi.org/10.5194/isprs-archives-XLI-B1-299-2016, 2016
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