KNOWLEDGE AND SKILLS RELATED TO ACTIVE OPTICAL SENSORS IN THE BODY OF KNOWLEDGE FOR EARTH OBSERVATION AND GEOINFORMATION (EO4GEO BOK)

Dubois, C.; Jutzi, B.; Olijslagers, M.; Pathe, C.; Schmullius, C.; Stelmaszczuk-Górska, M. A.; Vandenbroucke, D.; Weinmann, M.

doi:https://doi.org/10.5194/isprs-annals-V-5-2021-9-2021

The Potential of Neural Radiance Fields and 3D Gaussian Splatting for 3D Reconstruction from Aerial Imagery

Dennis Haitz, Max Hermann, Aglaja Solana Roth, Michael Weinmann, and Martin Weinmann

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-2-2024, 97–104, https://doi.org/10.5194/isprs-annals-X-2-2024-97-2024,https://doi.org/10.5194/isprs-annals-X-2-2024-97-2024, 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

3D DENSITY-GRADIENT BASED EDGE DETECTION ON NEURAL RADIANCE FIELDS (NERFS) FOR GEOMETRIC RECONSTRUCTION

M. Jäger and B. Jutzi

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W3-2023, 71–78, https://doi.org/10.5194/isprs-archives-XLVIII-1-W3-2023-71-2023,https://doi.org/10.5194/isprs-archives-XLVIII-1-W3-2023-71-2023, 2023

GEOMETRIC ACCURACY ANALYSIS BETWEEN NEURAL RADIANCE FIELDS (NERFS) AND TERRESTRIAL LASER SCANNING (TLS)

I. Petrovska, M. Jäger, D. Haitz, and B. Jutzi

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W3-2023, 153–159, https://doi.org/10.5194/isprs-archives-XLVIII-1-W3-2023-153-2023,https://doi.org/10.5194/isprs-archives-XLVIII-1-W3-2023-153-2023, 2023

COMBINING HOLOLENS WITH INSTANT-NERFS: ADVANCED REAL-TIME 3D MOBILE MAPPING

D. Haitz, B. Jutzi, M. Ulrich, M. Jäger, and P. Hübner

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W1-2023, 167–174, https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-167-2023,https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-167-2023, 2023

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

A COMPARATIVE NEURAL RADIANCE FIELD (NERF) 3D ANALYSIS OF CAMERA POSES FROM HOLOLENS TRAJECTORIES AND STRUCTURE FROM MOTION

M. Jäger, P. Hübner, D. Haitz, and B. Jutzi

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W1-2023, 207–213, https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-207-2023,https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-207-2023, 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

CORROSION DETECTION FOR INDUSTRIAL OBJECTS: FROM MULTI-SENSOR SYSTEM TO 5D FEATURE SPACE

D. Haitz, B. Jutzi, P. Hübner, and M. Ulrich

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2022, 143–150, https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-143-2022,https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-143-2022, 2022

NORMAL CLASSIFICATION OF 3D OCCUPANCY GRIDS FOR VOXEL-BASED INDOOR RECONSTRUCTION FROM POINT CLOUDS

P. Hübner, S. Wursthorn, and M. Weinmann

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-4-2022, 121–128, https://doi.org/10.5194/isprs-annals-V-4-2022-121-2022,https://doi.org/10.5194/isprs-annals-V-4-2022-121-2022, 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

REAL-TIME DENSE 3D RECONSTRUCTION FROM MONOCULAR VIDEO DATA CAPTURED BY LOW-COST UAVS

M. Hermann, B. Ruf, and M. Weinmann

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2021, 361–368, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-361-2021,https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-361-2021, 2021

INVESTIGATION OF SENTINEL-1 TIME SERIES FOR SENSITIVITY TO FERN VEGETATION IN AN EUROPEAN TEMPERATE FOREST

M. M. Mueller, C. Dubois, T. Jagdhuber, C. Pathe, and C. Schmullius

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2021, 127–134, https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-127-2021,https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-127-2021, 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

INVESTIGATION OF THE GROUND MOTION NEAR THE LEANING TOWER OF BAD FRANKENHAUSEN USING SENTINEL-1 PERSISTENT SCATTERER INTERFEROMETRY

J. Jänichen, C. Dubois, M. Wolsza, N. Salepci, and C. Schmullius

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2020, 305–312, https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-305-2020,https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-305-2020, 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

INCORPORATING INTERFEROMETRIC COHERENCE INTO LULC CLASSIFICATION OF AIRBORNE POLSAR-IMAGES USING FULLY CONVOLUTIONAL NETWORKS

S. Schmitz, M. Weinmann, and A. Thiele

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2020, 115–122, https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-115-2020,https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-115-2020, 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

URBAN MATERIAL CLASSIFICATION USING SPECTRAL AND TEXTURAL FEATURES RETRIEVED FROM AUTOENCODERS

R. Ilehag, J. Leitloff, M. Weinmann, and A. Schenk

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-1-2020, 25–32, https://doi.org/10.5194/isprs-annals-V-1-2020-25-2020,https://doi.org/10.5194/isprs-annals-V-1-2020-25-2020, 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

SELF-SUPERVISED LEARNING FOR MONOCULAR DEPTH ESTIMATION FROM AERIAL IMAGERY

M. Hermann, B. Ruf, M. Weinmann, and S. Hinz

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2020, 357–364, https://doi.org/10.5194/isprs-annals-V-2-2020-357-2020,https://doi.org/10.5194/isprs-annals-V-2-2020-357-2020, 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

VOXEL-BASED INDOOR RECONSTRUCTION FROM HOLOLENS TRIANGLE MESHES

P. Hübner, M. Weinmann, and S. Wursthorn

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-4-2020, 79–86, https://doi.org/10.5194/isprs-annals-V-4-2020-79-2020,https://doi.org/10.5194/isprs-annals-V-4-2020-79-2020, 2020

IMPACT OF DIFFERENT TRAJECTORIES ON EXTRINSIC SELF-CALIBRATION FOR VEHICLE-BASED MOBILE LASER SCANNING SYSTEMS

M. Hillemann, J. Meidow, and B. Jutzi

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W16, 119–125, https://doi.org/10.5194/isprs-archives-XLII-2-W16-119-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W16-119-2019, 2019

IMAGE-TO-IMAGE TRANSLATION FOR ENHANCED FEATURE MATCHING, IMAGE RETRIEVAL AND VISUAL LOCALIZATION

M. S. Mueller, T. Sattler, M. Pollefeys, and B. Jutzi

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W7, 111–119, https://doi.org/10.5194/isprs-annals-IV-2-W7-111-2019,https://doi.org/10.5194/isprs-annals-IV-2-W7-111-2019, 2019

EFFICIENT SURFACE-AWARE SEMI-GLOBAL MATCHING WITH MULTI-VIEW PLANE-SWEEP SAMPLING

B. Ruf, T. Pollok, and M. Weinmann

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W7, 137–144, https://doi.org/10.5194/isprs-annals-IV-2-W7-137-2019,https://doi.org/10.5194/isprs-annals-IV-2-W7-137-2019, 2019

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

FUSION OF HYPERSPECTRAL, MULTISPECTRAL, COLOR AND 3D POINT CLOUD INFORMATION FOR THE SEMANTIC INTERPRETATION OF URBAN ENVIRONMENTS

M. Weinmann and M. Weinmann

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 1899–1906, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1899-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W13-1899-2019, 2019

AUTOMATIC CO-REGISTRATION OF AERIAL IMAGERY AND UNTEXTURED MODEL DATA UTILIZING AVERAGE SHADING GRADIENTS

S. Schmitz, M. Weinmann, and B. Ruf

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 581–588, https://doi.org/10.5194/isprs-archives-XLII-2-W13-581-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W13-581-2019, 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

FEASIBILITY INVESTIGATION ON SINGLE PHOTON LIDAR BASED WATER SURFACE MAPPING

G. Mandlburger and B. Jutzi

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-1, 109–116, https://doi.org/10.5194/isprs-annals-IV-1-109-2018,https://doi.org/10.5194/isprs-annals-IV-1-109-2018, 2018

CNN-BASED INITIAL LOCALIZATION IMPROVED BY DATA AUGMENTATION

M. S. Mueller, A. Metzger, and B. Jutzi

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-1, 117–124, https://doi.org/10.5194/isprs-annals-IV-1-117-2018,https://doi.org/10.5194/isprs-annals-IV-1-117-2018, 2018

DEEP CROSS-DOMAIN BUILDING EXTRACTION FOR SELECTIVE DEPTH ESTIMATION FROM OBLIQUE AERIAL IMAGERY

B. Ruf, L. Thiel, and M. Weinmann

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-1, 125–132, https://doi.org/10.5194/isprs-annals-IV-1-125-2018,https://doi.org/10.5194/isprs-annals-IV-1-125-2018, 2018

INVESTIGATIONS ON THE POTENTIAL OF HYPERSPECTRAL AND SENTINEL-2 DATA FOR LAND-COVER / LAND-USE CLASSIFICATION

M. Weinmann, P. M. Maier, J. Florath, and U. Weidner

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-1, 155–162, https://doi.org/10.5194/isprs-annals-IV-1-155-2018,https://doi.org/10.5194/isprs-annals-IV-1-155-2018, 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

MARKER-BASED LOCALIZATION OF THE MICROSOFT HOLOLENS IN BUILDING MODELS

P. Hübner, M. Weinmann, and S. Wursthorn

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1, 195–202, https://doi.org/10.5194/isprs-archives-XLII-1-195-2018,https://doi.org/10.5194/isprs-archives-XLII-1-195-2018, 2018

COMBINING INDEPENDENT VISUALIZATION AND TRACKING SYSTEMS FOR AUGMENTED REALITY

P. Hübner, M. Weinmann, M. Hillemann, B. Jutzi, and S. Wursthorn

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 455–462, https://doi.org/10.5194/isprs-archives-XLII-2-455-2018,https://doi.org/10.5194/isprs-archives-XLII-2-455-2018, 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

Seasonal evolution of soil and plant parameters on the agricultural Gebesee test site: a database for the set-up and validation of EO-LDAS and satellite-aided retrieval models

Sina C. Truckenbrodt and Christiane C. Schmullius

Earth Syst. Sci. Data, 10, 525–548, https://doi.org/10.5194/essd-10-525-2018,https://doi.org/10.5194/essd-10-525-2018, 2018

Short summary

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

USING MULTI-SCALE FEATURES FOR THE 3D SEMANTIC LABELING OF AIRBORNE LASER SCANNING DATA

R. Blomley and M. Weinmann

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W4, 43–50, https://doi.org/10.5194/isprs-annals-IV-2-W4-43-2017,https://doi.org/10.5194/isprs-annals-IV-2-W4-43-2017, 2017

PROJECTOR-BASED AUGMENTED REALITY FOR QUALITY INSPECTION OF SCANNED OBJECTS

J. Kern, M. Weinmann, and S. Wursthorn

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W4, 83–90, https://doi.org/10.5194/isprs-annals-IV-2-W4-83-2017,https://doi.org/10.5194/isprs-annals-IV-2-W4-83-2017, 2017

DETERMINING PLANE-SWEEP SAMPLING POINTS IN IMAGE SPACE USING THE CROSS-RATIO FOR IMAGE-BASED DEPTH ESTIMATION

B. Ruf, B. Erdnuess, and M. Weinmann

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W6, 325–332, https://doi.org/10.5194/isprs-archives-XLII-2-W6-325-2017,https://doi.org/10.5194/isprs-archives-XLII-2-W6-325-2017, 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

UCalMiCeL – UNIFIED INTRINSIC AND EXTRINSIC CALIBRATION OF A MULTI-CAMERA-SYSTEM AND A LASERSCANNER

M. Hillemann and B. Jutzi

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W3, 17–24, https://doi.org/10.5194/isprs-annals-IV-2-W3-17-2017,https://doi.org/10.5194/isprs-annals-IV-2-W3-17-2017, 2017

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ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W3, 49–57, https://doi.org/10.5194/isprs-annals-IV-2-W3-49-2017,https://doi.org/10.5194/isprs-annals-IV-2-W3-49-2017, 2017

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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

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ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-1-W1, 115–123, https://doi.org/10.5194/isprs-annals-IV-1-W1-115-2017,https://doi.org/10.5194/isprs-annals-IV-1-W1-115-2017, 2017

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M. Weinmann, B. Jutzi, C. Mallet, and M. Weinmann

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-1-W1, 157–164, https://doi.org/10.5194/isprs-annals-IV-1-W1-157-2017,https://doi.org/10.5194/isprs-annals-IV-1-W1-157-2017, 2017

NEXT-BEST-VIEW METHOD BASED ON CONSECUTIVE EVALUATION OF TOPOLOGICAL RELATIONS

K. O. Dierenbach, M. Weinmann, and B. Jutzi

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B3, 11–19, https://doi.org/10.5194/isprs-archives-XLI-B3-11-2016,https://doi.org/10.5194/isprs-archives-XLI-B3-11-2016, 2016

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

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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

KNOWLEDGE AND SKILLS RELATED TO ACTIVE OPTICAL SENSORS IN THE BODY OF KNOWLEDGE FOR EARTH OBSERVATION AND GEOINFORMATION (EO4GEO BOK)

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