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17 Jun 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
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INTEGRATING CONCEPTS OF ARTIFICIAL INTELLIGENCE IN THE EO4GEO BODY OF KNOWLEDGE
R. Lemmens, S. Lang, F. Albrecht, E. Augustijn, C. Granell, M. Olijslagers, C. Pathe, C. Dubois, and M. Stelmaszczuk-Górska
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2022, 53–59, https://doi.org/10.5194/isprs-archives-XLIII-B4-2022-53-2022,https://doi.org/10.5194/isprs-archives-XLIII-B4-2022-53-2022, 2022
BODY OF KNOWLEDGE FOR THE EARTH OBSERVATION AND GEOINFORMATION SECTOR – A BASIS FOR INNOVATIVE SKILLS DEVELOPMENT
M. A. Stelmaszczuk-Górska, E. Aguilar-Moreno, S. Casteleyn, D. Vandenbroucke, M. Miguel-Lago, C. Dubois, R. Lemmens, G. Vancauwenberghe, M. Olijslagers, S. Lang, F. Albrecht, M. Belgiu, V. Krieger, T. Jagdhuber, A. Fluhrer, M. J. Soja, A. Mouratidis, H. J. Persson, R. Colombo, and G. Masiello
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B5-2020, 15–22, https://doi.org/10.5194/isprs-archives-XLIII-B5-2020-15-2020,https://doi.org/10.5194/isprs-archives-XLIII-B5-2020-15-2020, 2020
CHARACTERIZATION OF LAND COVER SEASONALITY IN SENTINEL-1 TIME SERIES DATA
C. Dubois, M. M. Mueller, C. Pathe, T. Jagdhuber, F. Cremer, C. Thiel, and C. Schmullius
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2020, 97–104, https://doi.org/10.5194/isprs-annals-V-3-2020-97-2020,https://doi.org/10.5194/isprs-annals-V-3-2020-97-2020, 2020
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
HoloGS: Instant Depth-based 3D Gaussian Splatting with Microsoft HoloLens 2
Miriam Jäger, Theodor Kapler, Michael Feßenbecker, Felix Birkelbach, Markus Hillemann, and Boris Jutzi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-2024, 159–166, https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-159-2024,https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-159-2024, 2024
Land cover and management effects on ecosystem resistance to drought stress
Chenwei Xiao, Sönke Zaehle, Hui Yang, Jean-Pierre Wigneron, Christiane Schmullius, and Ana Bastos
Earth Syst. Dynam., 14, 1211–1237, https://doi.org/10.5194/esd-14-1211-2023,https://doi.org/10.5194/esd-14-1211-2023, 2023
Short summary
POTENTIAL OF MOBILE MAPPING TO CREATE DIGITAL TWINS OF FORESTS
D. Iwaszczuk, M. Goebel, Y. Du, J. Schmidt, and M. Weinmann
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W1-2023, 199–206, https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-199-2023,https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-199-2023, 2023
Updating and using the EO4GEO Body of Knowledge for (AI) concept annotation
Rob Lemmens, Florian Albrecht, Stefan Lang, Sven Casteleyn, Martyna Stelmaszczuk-Górska, Marc Olijslagers, Mariana Belgiu, Carlos Granell, Ellen-Wien Augustijn, Carsten Pathe, Eva-Maria Missoni-Steinbacher, and Aida Monfort Muriach
AGILE GIScience Ser., 3, 44, https://doi.org/10.5194/agile-giss-3-44-2022,https://doi.org/10.5194/agile-giss-3-44-2022, 2022
INTEGRATING CONCEPTS OF ARTIFICIAL INTELLIGENCE IN THE EO4GEO BODY OF KNOWLEDGE
R. Lemmens, S. Lang, F. Albrecht, E. Augustijn, C. Granell, M. Olijslagers, C. Pathe, C. Dubois, and M. Stelmaszczuk-Górska
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2022, 53–59, https://doi.org/10.5194/isprs-archives-XLIII-B4-2022-53-2022,https://doi.org/10.5194/isprs-archives-XLIII-B4-2022-53-2022, 2022
PREFACE: TECHNICAL COMMISSION I
S. Hinz, R. Q. Feitosa, M. Weinmann, and B. Jutzi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2022, 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
BODY OF KNOWLEDGE FOR THE EARTH OBSERVATION AND GEOINFORMATION SECTOR – A BASIS FOR INNOVATIVE SKILLS DEVELOPMENT
M. A. Stelmaszczuk-Górska, E. Aguilar-Moreno, S. Casteleyn, D. Vandenbroucke, M. Miguel-Lago, C. Dubois, R. Lemmens, G. Vancauwenberghe, M. Olijslagers, S. Lang, F. Albrecht, M. Belgiu, V. Krieger, T. Jagdhuber, A. Fluhrer, M. J. Soja, A. Mouratidis, H. J. Persson, R. Colombo, and G. Masiello
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B5-2020, 15–22, https://doi.org/10.5194/isprs-archives-XLIII-B5-2020-15-2020,https://doi.org/10.5194/isprs-archives-XLIII-B5-2020-15-2020, 2020
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
CHARACTERIZATION OF LAND COVER SEASONALITY IN SENTINEL-1 TIME SERIES DATA
C. Dubois, M. M. Mueller, C. Pathe, T. Jagdhuber, F. Cremer, C. Thiel, and C. Schmullius
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2020, 97–104, https://doi.org/10.5194/isprs-annals-V-3-2020-97-2020,https://doi.org/10.5194/isprs-annals-V-3-2020-97-2020, 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
FOSS4G AS A KEY BUILDING BLOCK FOR CASE-BASED LEARNING IN GEOGRAPHIC INFORMATION EDUCATION
M. Minghini, M. A. Brovelli, D. Vandenbroucke, M. Carbonaro, S. Prüller, M. Painho, G. Martirano, and D. Frigne
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W2, 129–135, https://doi.org/10.5194/isprs-archives-XLII-4-W2-129-2017,https://doi.org/10.5194/isprs-archives-XLII-4-W2-129-2017, 2017
Improved light and temperature responses for light-use-efficiency-based GPP models
I. McCallum, O. Franklin, E. Moltchanova, L. Merbold, C. Schmullius, A. Shvidenko, D. Schepaschenko, and S. Fritz
Biogeosciences, 10, 6577–6590, https://doi.org/10.5194/bg-10-6577-2013,https://doi.org/10.5194/bg-10-6577-2013, 2013
LAND COVER CLASSIFICATION OF SATELLITE IMAGES USING CONTEXTUAL INFORMATION
B. Fröhlich, E. Bach, I. Walde, S. Hese, C. Schmullius, and J. Denzler
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-3-W1, 1–6, https://doi.org/10.5194/isprsannals-II-3-W1-1-2013,https://doi.org/10.5194/isprsannals-II-3-W1-1-2013, 2013