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DSM2DTM: AN END-TO-END DEEP LEARNING APPROACH FOR DIGITAL T..:
Bittner, K.
;
Zorzi, S.
;
Krauß, T.
.
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. X-1/W1-2023 (2023) - p. 925-933 , 2023
Link:
https://doi.org/10.5194/isprs-annals-x-1-w1-2023-925-2..
RT Journal T1 <Title>DSM2DTM: AN END-TO-END DEEP LEARNING APPROACH FOR DIGITAL TERRAIN MODEL GENERATION</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.5194_isprs-annals-x-1-w1-2023-925-2023&Exemplar=1&LAN=DE A1 Bittner, K. A1 Zorzi, S. A1 Krauß, T. A1 d'Angelo, P. PB Copernicus GmbH YR 2023 SN 2194-9050 JF ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences VO X-1/W1-2023 SP 925 OP 933 LK http://dx.doi.org/https://doi.org/10.5194/isprs-annals-x-1-w1-2023-925-2023 DO https://doi.org/10.5194/isprs-annals-x-1-w1-2023-925-2023 SF ELIB - SuUB Bremen
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