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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLII-2/W13
https://doi.org/10.5194/isprs-archives-XLII-2-W13-43-2019
© Author(s) 2019. 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-archives-XLII-2-W13-43-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
04 Jun 2019
| 04 Jun 2019
LOCAL VERSUS GLOBAL VARIATIONAL APPROACHES TO ENHANCE WATERSHED TRANSFORMATION BASED INDIVIDUAL TREE CROWN SEGMENTATION OF DIGITAL SURFACE MODELS FROM 3K OPTICAL IMAGERY
C. Kempf
TUM, Department of Ecology and Ecosystem Management, Freising, Germany
DLR, Department of Photogrammetry and Image Analysis, Oberpfaffenhofen, Germany
J. Tian
DLR, Department of Photogrammetry and Image Analysis, Oberpfaffenhofen, Germany
F. Kurz
DLR, Department of Photogrammetry and Image Analysis, Oberpfaffenhofen, Germany
P. dâAngelo
DLR, Department of Photogrammetry and Image Analysis, Oberpfaffenhofen, Germany
P. Reinartz
DLR, Department of Photogrammetry and Image Analysis, Oberpfaffenhofen, Germany
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ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2020, 279–285, https://doi.org/10.5194/isprs-annals-V-3-2020-279-2020, https://doi.org/10.5194/isprs-annals-V-3-2020-279-2020, 2020
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Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W18, 163–170, https://doi.org/10.5194/isprs-archives-XLII-4-W18-163-2019, https://doi.org/10.5194/isprs-archives-XLII-4-W18-163-2019, 2019
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Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W18, 687–692, https://doi.org/10.5194/isprs-archives-XLII-4-W18-687-2019, https://doi.org/10.5194/isprs-archives-XLII-4-W18-687-2019, 2019
J. Knöttner, D. Rosenbaum, F. Kurz, P. Reinartz, and A. Brunn
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W7, 95–101, https://doi.org/10.5194/isprs-annals-IV-2-W7-95-2019, https://doi.org/10.5194/isprs-annals-IV-2-W7-95-2019, 2019
Y. Xia, J. Tian, P. dâAngelo, and P. Reinartz
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W7, 205–210, https://doi.org/10.5194/isprs-annals-IV-2-W7-205-2019, https://doi.org/10.5194/isprs-annals-IV-2-W7-205-2019, 2019
P. dâAngelo and F. Kurz
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 1643–1647, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1643-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1643-2019, 2019
F. Kurz, T. KrauĂ, H. Runge, D. Rosenbaum, and P. dâAngelo
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 61–66, https://doi.org/10.5194/isprs-archives-XLII-2-W13-61-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-61-2019, 2019
C.-Y. Sheu, F. Kurz, and P. Angelo
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-1, 147–154, https://doi.org/10.5194/isprs-annals-IV-1-147-2018, https://doi.org/10.5194/isprs-annals-IV-1-147-2018, 2018
S. Azimi, E. Vig, F. Kurz, and P. Reinartz
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1, 19–23, https://doi.org/10.5194/isprs-archives-XLII-1-19-2018, https://doi.org/10.5194/isprs-archives-XLII-1-19-2018, 2018
F. Kurz, D. Waigand, P. Pekezou-Fouopi, E. Vig, C. Henry, N. Merkle, D. Rosenbaum, V. Gstaiger, S. Azimi, S. Auer, P. Reinartz, and S. Knake-Langhorst
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1, 251–256, https://doi.org/10.5194/isprs-archives-XLII-1-251-2018, https://doi.org/10.5194/isprs-archives-XLII-1-251-2018, 2018
H. Bagheri, M. Schmitt, P. dâAngelo, 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
K. Bittner, P. dâAngelo, M. Körner, and P. Reinartz
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. dâAngelo, 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
J. Mu, S. Cui, and P. Reinartz
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1-W1, 159–165, https://doi.org/10.5194/isprs-archives-XLII-1-W1-159-2017, https://doi.org/10.5194/isprs-archives-XLII-1-W1-159-2017, 2017
D. Cerra, D. Traganos, P. Gege, and P. Reinartz
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1-W1, 279–282, https://doi.org/10.5194/isprs-archives-XLII-1-W1-279-2017, https://doi.org/10.5194/isprs-archives-XLII-1-W1-279-2017, 2017
D. Traganos, D. Cerra, and P. Reinartz
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1-W1, 283–287, https://doi.org/10.5194/isprs-archives-XLII-1-W1-283-2017, https://doi.org/10.5194/isprs-archives-XLII-1-W1-283-2017, 2017
J. Tian, T. KrauĂ, and P. dâAngelo
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
K. Bittner, S. Cui, and P. Reinartz
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1-W1, 481–486, https://doi.org/10.5194/isprs-archives-XLII-1-W1-481-2017, https://doi.org/10.5194/isprs-archives-XLII-1-W1-481-2017, 2017
T. Partovi, F. Fraundorfer, S. Azimi, D. Marmanis, and P. Reinartz
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1-W1, 653–657, https://doi.org/10.5194/isprs-archives-XLII-1-W1-653-2017, https://doi.org/10.5194/isprs-archives-XLII-1-W1-653-2017, 2017
R. Ilehag, S. Auer, and P. dâAngelo
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-B6, 193–199, https://doi.org/10.5194/isprs-archives-XLI-B6-193-2016, https://doi.org/10.5194/isprs-archives-XLI-B6-193-2016, 2016
F. Kurz, D. Rosenbaum, H. Runge, D. Cerra, G. Mattyus, and P. Reinartz
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B2, 521–525, https://doi.org/10.5194/isprs-archives-XLI-B2-521-2016, https://doi.org/10.5194/isprs-archives-XLI-B2-521-2016, 2016
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ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., III-7, 149–155, https://doi.org/10.5194/isprs-annals-III-7-149-2016, https://doi.org/10.5194/isprs-annals-III-7-149-2016, 2016
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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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