|
25 May 2023
POTENTIAL OF MOBILE MAPPING TO CREATE DIGITAL TWINS OF FORESTS
D. Iwaszczuk, M. Goebel, Y. Du, J. Schmidt, and M. Weinmann
Related authors
BACKPACK SYSTEM FOR CAPTURING 3D POINT CLOUDS OF FORESTS
M. Goebel and D. Iwaszczuk
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1-W1-2023, 695–702, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-695-2023,https://doi.org/10.5194/isprs-annals-X-1-W1-2023-695-2023, 2023
CURRENT STATUS OF THE BENCHMARK DATABASE BEMEDA
L. E. Budde, J. Schmidt, T. Kullmann, and D. Iwaszczuk
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W3-2023, 25–30, https://doi.org/10.5194/isprs-archives-XLVIII-1-W3-2023-25-2023,https://doi.org/10.5194/isprs-archives-XLVIII-1-W3-2023-25-2023, 2023
Novel View Synthesis with Neural Radiance Fields for Industrial Robot Applications
Markus Hillemann, Robert Langendörfer, Max Heiken, Max Mehltretter, Andreas Schenk, Martin Weinmann, Stefan Hinz, Christian Heipke, and Markus Ulrich
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-2024, 137–144, https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-137-2024,https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-137-2024, 2024
BACKPACK SYSTEM FOR CAPTURING 3D POINT CLOUDS OF FORESTS
M. Goebel and D. Iwaszczuk
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1-W1-2023, 695–702, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-695-2023,https://doi.org/10.5194/isprs-annals-X-1-W1-2023-695-2023, 2023
CURRENT STATUS OF THE BENCHMARK DATABASE BEMEDA
L. E. Budde, J. Schmidt, T. Kullmann, and D. Iwaszczuk
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W3-2023, 25–30, https://doi.org/10.5194/isprs-archives-XLVIII-1-W3-2023-25-2023,https://doi.org/10.5194/isprs-archives-XLVIII-1-W3-2023-25-2023, 2023
PREFACE: TECHNICAL COMMISSION I
S. Hinz, R. Q. Feitosa, M. Weinmann, and B. Jutzi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2022, 7–7, https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-7-2022,https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-7-2022, 2022
PREFACE: TECHNICAL COMMISSION I
S. Hinz, R. Q. Feitosa, M. Weinmann, and B. Jutzi
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-1-2022, 7–7, https://doi.org/10.5194/isprs-annals-V-1-2022-7-2022,https://doi.org/10.5194/isprs-annals-V-1-2022-7-2022, 2022
PREFACE: TECHNICAL COMMISSION I
S. Hinz, R. Q. Feitosa, M. Weinmann, and B. Jutzi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2021, 7–7, https://doi.org/10.5194/isprs-archives-XLIII-B1-2021-7-2021,https://doi.org/10.5194/isprs-archives-XLIII-B1-2021-7-2021, 2021
PREFACE: TECHNICAL COMMISSION I
S. Hinz, R. Q. Feitosa, M. Weinmann, and B. Jutzi
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-1-2021, 7–7, https://doi.org/10.5194/isprs-annals-V-1-2021-7-2021,https://doi.org/10.5194/isprs-annals-V-1-2021-7-2021, 2021
KNOWLEDGE AND SKILLS RELATED TO ACTIVE OPTICAL SENSORS IN THE BODY OF KNOWLEDGE FOR EARTH OBSERVATION AND GEOINFORMATION (EO4GEO BOK)
C. Dubois, B. Jutzi, M. Olijslagers, C. Pathe, C. Schmullius, M. A. Stelmaszczuk-Górska, D. Vandenbroucke, and M. Weinmann
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-5-2021, 9–16, https://doi.org/10.5194/isprs-annals-V-5-2021-9-2021,https://doi.org/10.5194/isprs-annals-V-5-2021-9-2021, 2021
PREFACE: TECHNICAL COMMISSION I
S. Hinz, R. Q. Feitosa, M. Weinmann, and B. Jutzi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2020, 7–7, https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-7-2020,https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-7-2020, 2020
Preface: Technical Commission I
S. Hinz, R. Q. Feitosa, M. Weinmann, and B. Jutzi
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-1-2020, 7–7, https://doi.org/10.5194/isprs-annals-V-1-2020-7-2020,https://doi.org/10.5194/isprs-annals-V-1-2020-7-2020, 2020
3D INDOOR MAPPING WITH THE MICROSOFT HOLOLENS: QUALITATIVE AND QUANTITATIVE EVALUATION BY MEANS OF GEOMETRIC FEATURES
M. Weinmann, M. A. Jäger, S. Wursthorn, B. Jutzi, M. Weinmann, and P. Hübner
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-1-2020, 165–172, https://doi.org/10.5194/isprs-annals-V-1-2020-165-2020,https://doi.org/10.5194/isprs-annals-V-1-2020-165-2020, 2020
PREFACE – ISPRS WORKSHOP LASER SCANNING 2019
J. Boehm, M. Rutzinger, B. Yang, M. Weinmann, B. Riveiro, and W. Yao
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 915–917, https://doi.org/10.5194/isprs-archives-XLII-2-W13-915-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W13-915-2019, 2019
PREFACE – ISPRS WORKSHOP HYPERSPECTRAL SENSING MEETS MACHINE LEARNING AND PATTERN ANALYSIS (HYPERMLPA 2019)
M. Weinmann, R. Müller, R. Reulke, E. Honkavaara, D. Tuia, and S. Keller
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 1825–1826, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1825-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W13-1825-2019, 2019
PREFACE – ISPRS WORKSHOP LASER SCANNING 2019
J. Boehm, M. Rutzinger, B. Yang, M. Weinmann, B. Riveiro, and W. Yao
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W5, 313–315, https://doi.org/10.5194/isprs-annals-IV-2-W5-313-2019,https://doi.org/10.5194/isprs-annals-IV-2-W5-313-2019, 2019
PREFACE – HYPERSPECTRAL SENSING MEETS MACHINE LEARNING AND PATTERN ANALYSIS (HYPERMLPA 2019)
M. Weinmann, R. Müller, R. Reulke, E. Honkavaara, D. Tuia, and S. Keller
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W5, 607–608, https://doi.org/10.5194/isprs-annals-IV-2-W5-607-2019,https://doi.org/10.5194/isprs-annals-IV-2-W5-607-2019, 2019
PREFACE
B. Jutzi, M. Weinmann, and S. Hinz
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-1, 1–3, https://doi.org/10.5194/isprs-annals-IV-1-1-2018,https://doi.org/10.5194/isprs-annals-IV-1-1-2018, 2018
SEMANTIC SEGMENTATION OF AERIAL IMAGERY VIA MULTI-SCALE SHUFFLING CONVOLUTIONAL NEURAL NETWORKS WITH DEEP SUPERVISION
K. Chen, M. Weinmann, X. Sun, M. Yan, S. Hinz, B. Jutzi, and M. Weinmann
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-1, 29–36, https://doi.org/10.5194/isprs-annals-IV-1-29-2018,https://doi.org/10.5194/isprs-annals-IV-1-29-2018, 2018
PREFACE
B. Jutzi, M. Weinmann, and S. Hinz
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1, 1–3, https://doi.org/10.5194/isprs-archives-XLII-1-1-2018,https://doi.org/10.5194/isprs-archives-XLII-1-1-2018, 2018
RESIDUAL SHUFFLING CONVOLUTIONAL NEURAL NETWORKS FOR DEEP SEMANTIC IMAGE SEGMENTATION USING MULTI-MODAL DATA
K. Chen, M. Weinmann, X. Gao, M. Yan, S. Hinz, B. Jutzi, and M. Weinmann
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2, 65–72, https://doi.org/10.5194/isprs-annals-IV-2-65-2018,https://doi.org/10.5194/isprs-annals-IV-2-65-2018, 2018
REVISITING EXISTING CLASSIFICATION APPROACHES FOR BUILDING MATERIALS BASED ON HYPERSPECTRAL DATA
R. Ilehag, M. Weinmann, A. Schenk, S. Keller, B. Jutzi, and S. Hinz
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W3, 65–71, https://doi.org/10.5194/isprs-archives-XLII-3-W3-65-2017,https://doi.org/10.5194/isprs-archives-XLII-3-W3-65-2017, 2017
POINT CLOUD ANALYSIS FOR UAV-BORNE LASER SCANNING WITH HORIZONTALLY AND VERTICALLY ORIENTED LINE SCANNERS – CONCEPT AND FIRST RESULTS
M. Weinmann, M. S. Müller, M. Hillemann, N. Reydel, S. Hinz, and B. Jutzi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W6, 399–406, https://doi.org/10.5194/isprs-archives-XLII-2-W6-399-2017,https://doi.org/10.5194/isprs-archives-XLII-2-W6-399-2017, 2017