Novel View Synthesis with Neural Radiance Fields for Industrial Robot Applications

Hillemann, Markus; Langendörfer, Robert; Heiken, Max; Mehltretter, Max; Schenk, Andreas; Weinmann, Martin; Hinz, Stefan; Heipke, Christian; Ulrich, Markus

doi:10.5194/isprs-archives-XLVIII-2-2024-137-2024

Integrating Viewing Direction and Image Features for Robust Multi-View Multi-Object 3D Pedestrian Tracking

Rasho Ali, Max Mehltretter, and Christian Heipke

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-G-2025, 47–55, https://doi.org/10.5194/isprs-annals-X-G-2025-47-2025,https://doi.org/10.5194/isprs-annals-X-G-2025-47-2025, 2025

NoMeFormer: Non-Manifold Mesh Transformer

Mohammadreza Heidarianbaei, Mareike Dorozynski, Max Mehltretter, and Franz Rottensteiner

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-G-2025, 365–373, https://doi.org/10.5194/isprs-annals-X-G-2025-365-2025,https://doi.org/10.5194/isprs-annals-X-G-2025-365-2025, 2025

Density-based Geometric Convergence of NeRFs at Training Time: Insights from Spatio-temporal Discretization

Dennis Haitz, Berk Kıvılcım, Markus Ulrich, Martin Weinmann, and Michael Weinmann

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W7-2024, 49–56, https://doi.org/10.5194/isprs-archives-XLVIII-2-W7-2024-49-2024,https://doi.org/10.5194/isprs-archives-XLVIII-2-W7-2024-49-2024, 2024

Studying Geodesy and Geoinformatics - a German university perspective

Christian Heipke and Steffen Schön

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-5-2024, 71–78, https://doi.org/10.5194/isprs-annals-X-5-2024-71-2024,https://doi.org/10.5194/isprs-annals-X-5-2024-71-2024, 2024

Unsupervised multi-target domain adaptation for deforestation detection in tropical rainforest

Mabel X. Ortega Adarme, Gilson A. O. P. da Costa, Pedro J. Soto Vega, Christian Heipke, and Raul Q. Feitosa

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-3-2024, 293–302, https://doi.org/10.5194/isprs-annals-X-3-2024-293-2024,https://doi.org/10.5194/isprs-annals-X-3-2024-293-2024, 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

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

Uncertainty-aware Cross-Entropy for Semantic Segmentation

Steven Landgraf, Markus Hillemann, Kira Wursthorn, and Markus Ulrich

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-2-2024, 129–136, https://doi.org/10.5194/isprs-annals-X-2-2024-129-2024,https://doi.org/10.5194/isprs-annals-X-2-2024-129-2024, 2024

Image-based Deep Learning for the time-dependent prediction of fresh concrete properties

Max Meyer, Amadeus Langer, Max Mehltretter, Dries Beyer, Max Coenen, Tobias Schack, Michael Haist, and Christian Heipke

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-2-2024, 145–152, https://doi.org/10.5194/isprs-annals-X-2-2024-145-2024,https://doi.org/10.5194/isprs-annals-X-2-2024-145-2024, 2024

Depth-Aware Panoptic Segmentation

Tuan Nguyen, Max Mehltretter, and Franz Rottensteiner

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-2-2024, 153–161, https://doi.org/10.5194/isprs-annals-X-2-2024-153-2024,https://doi.org/10.5194/isprs-annals-X-2-2024-153-2024, 2024

Uncertainty Quantification with Deep Ensembles for 6D Object Pose Estimation

Kira Wursthorn, Markus Hillemann, and Markus Ulrich

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-2-2024, 223–230, https://doi.org/10.5194/isprs-annals-X-2-2024-223-2024,https://doi.org/10.5194/isprs-annals-X-2-2024-223-2024, 2024

INTEGRATING MOTION PRIORS FOR END-TO-END ATTENTION-BASED MULTI-OBJECT TRACKING

R. Ali, M. Mehltretter, and C. Heipke

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W2-2023, 1619–1626, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1619-2023,https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1619-2023, 2023

BEDOI: BENCHMARKS FOR DETERMINING OVERLAPPING IMAGES WITH PHOTOGRAMMETRIC INFORMATION

H. Zhan, Y. F. Yu, Y. W. Xu, Q. B. Hou, R. Xia, X. Wang, Y. Feng, Z. Q. Zhan, M. L. Li, M. Gruber, R. Hänsch, and C. Heipke

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W2-2023, 1685–1692, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1685-2023,https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1685-2023, 2023

ENHANCING THE QUALITY OF CNN-BASED BURNED AREA DETECTION IN SATELLITE IMAGERY THROUGH DATA AUGMENTATION

V. Hnatushenko, V. Hnatushenko, D. Soldatenko, and C. Heipke

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W2-2023, 1749–1755, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1749-2023,https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1749-2023, 2023

USING GHSL TO ANALYZE URBANIZATION AND LAND-USE EFFICIENCY IN THE PHILIPPINES FROM 1975–2020: TRENDS AND IMPLICATIONS FOR SUSTAINABLE DEVELOPMENT

J. R. Santillan and C. Heipke

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1-W1-2023, 413–422, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-413-2023,https://doi.org/10.5194/isprs-annals-X-1-W1-2023-413-2023, 2023

VEHICLE POSE AND SHAPE ESTIMATION IN UAV IMAGERY USING A CNN

S. El Amrani Abouelassad, M. Mehltretter, and F. Rottensteiner

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1-W1-2023, 935–944, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-935-2023,https://doi.org/10.5194/isprs-annals-X-1-W1-2023-935-2023, 2023

SEGMENTATION OF INDUSTRIAL BURNER FLAMES: A COMPARATIVE STUDY FROM TRADITIONAL IMAGE PROCESSING TO MACHINE AND DEEP LEARNING

S. Landgraf, M. Hillemann, M. Aberle, V. Jung, and M. Ulrich

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1-W1-2023, 953–960, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-953-2023,https://doi.org/10.5194/isprs-annals-X-1-W1-2023-953-2023, 2023

USING TIME SERIES IMAGE DATA TO IMPROVE THE GENERALIZATION CAPABILITIES OF A CNN – THE EXAMPLE OF DEFORESTATION DETECTION WITH SENTINEL-2

M. X. Ortega, D. Wittich, F. Rottensteiner, C. Heipke, and R. Q. Feitosa

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1-W1-2023, 961–970, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-961-2023,https://doi.org/10.5194/isprs-annals-X-1-W1-2023-961-2023, 2023

TRANSFORMER MODELS FOR MULTI-TEMPORAL LAND COVER CLASSIFICATION USING REMOTE SENSING IMAGES

M. Voelsen, S. Lauble, F. Rottensteiner, and C. Heipke

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1-W1-2023, 981–990, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-981-2023,https://doi.org/10.5194/isprs-annals-X-1-W1-2023-981-2023, 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

MATHEMATICAL AND PHYSICAL APPROACHES TO INFER ABSOLUTE ZENITH WET DELAYS FROM DOUBLE DIFFERENTIAL INTERFEROMETRIC OBSERVATIONS USING ERA5 ATMOSPHERIC REANALYSIS

B. Kamm, A. Schenk, P. Yuan, and S. Hinz

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

A DEBIASING VARIATIONAL AUTOENCODER FOR DEFORESTATION MAPPING

M. X. Ortega Adarme, P. J. Soto Vega, G. A. O. P. Costa, R. Q. Feitosa, and C. Heipke

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-M-1-2023, 217–223, https://doi.org/10.5194/isprs-archives-XLVIII-M-1-2023-217-2023,https://doi.org/10.5194/isprs-archives-XLVIII-M-1-2023-217-2023, 2023

Tropospheric water vapor: a comprehensive high-resolution data collection for the transnational Upper Rhine Graben region

Benjamin Fersch, Andreas Wagner, Bettina Kamm, Endrit Shehaj, Andreas Schenk, Peng Yuan, Alain Geiger, Gregor Moeller, Bernhard Heck, Stefan Hinz, Hansjörg Kutterer, and Harald Kunstmann

Earth Syst. Sci. Data, 14, 5287–5307, https://doi.org/10.5194/essd-14-5287-2022,https://doi.org/10.5194/essd-14-5287-2022, 2022

Short summary

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

JOINT BUNDLE ADJUSTMENT OF THERMAL INFRA-RED AND OPTICAL IMAGES BASED ON MULTIMODAL MATCHING

A. Sledz and C. Heipke

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2022, 157–165, https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-157-2022,https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-157-2022, 2022

COMPARISON AND EVALUATION OF DIFFERENT APPROACHES FOR EFFICIENT PROCESSING OF LONG GROUND-BASED SAR TIMES SERIES

M. Rebmeister, A. Schenk, and S. Hinz

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2022, 341–348, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-341-2022,https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-341-2022, 2022

DEEP LEARNING-BASED TRACKING OF MULTIPLE OBJECTS IN THE CONTEXT OF FARM ANIMAL ETHOLOGY

R. Ali, M. Dorozynski, J. Stracke, and M. Mehltretter

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 509–516, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-509-2022,https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-509-2022, 2022

EVALUATION OF SELF-SUPERVISED LEARNING APPROACHES FOR SEMANTIC SEGMENTATION OF INDUSTRIAL BURNER FLAMES

S. Landgraf, L. Kühnlein, M. Hillemann, M. Hoyer, S. Keller, and M. Ulrich

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 601–607, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-601-2022,https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-601-2022, 2022

IMAGE-BASED DEEP LEARNING FOR RHEOLOGY DETERMINATION OF BINGHAM FLUIDS

A. Ponick, A. Langer, D. Beyer, M. Coenen, M. Haist, and C. Heipke

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 711–720, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-711-2022,https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-711-2022, 2022

COMPARISON OF UNCERTAINTY QUANTIFICATION METHODS FOR CNN-BASED REGRESSION

K. Wursthorn, M. Hillemann, and M. Ulrich

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 721–728, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-721-2022,https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-721-2022, 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

COOPERATIVE IMAGE ORIENTATION CONSIDERING DYNAMIC OBJECTS

P. Trusheim, M. Mehltretter, F. Rottensteiner, and C. Heipke

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-1-2022, 169–177, https://doi.org/10.5194/isprs-annals-V-1-2022-169-2022,https://doi.org/10.5194/isprs-annals-V-1-2022-169-2022, 2022

JOINT ESTIMATION OF DEPTH AND ITS UNCERTAINTY FROM STEREO IMAGES USING BAYESIAN DEEP LEARNING

M. Mehltretter

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2022, 69–78, https://doi.org/10.5194/isprs-annals-V-2-2022-69-2022,https://doi.org/10.5194/isprs-annals-V-2-2022-69-2022, 2022

LEARNING TO SIEVE: PREDICTION OF GRADING CURVES FROM IMAGES OF CONCRETE AGGREGATE

M. Coenen, D. Beyer, C. Heipke, and M. Haist

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2022, 227–235, https://doi.org/10.5194/isprs-annals-V-2-2022-227-2022,https://doi.org/10.5194/isprs-annals-V-2-2022-227-2022, 2022

ARM-NMS: SHAPE BASED NON-MAXIMUM SUPPRESSION FOR INSTANCE SEGMENTATION IN LARGE SCALE IMAGERY

A. Michel, W. Gross, S. Hinz, and W. Middelmann

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2022, 291–298, https://doi.org/10.5194/isprs-annals-V-2-2022-291-2022,https://doi.org/10.5194/isprs-annals-V-2-2022-291-2022, 2022

DEEP LEARNING FOR THE DETECTION OF EARLY SIGNS FOR FOREST DAMAGE BASED ON SATELLITE IMAGERY

D. Wittich, F. Rottensteiner, M. Voelsen, C. Heipke, and S. Müller

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2022, 307–315, https://doi.org/10.5194/isprs-annals-V-2-2022-307-2022,https://doi.org/10.5194/isprs-annals-V-2-2022-307-2022, 2022

PSDEFOPAT – TOWARDS AUTOMATIC MODEL BASED PSI POST-PROCESSING

M. Evers, A. Thiele, H. Hammer, and S. Hinz

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2022, 107–114, https://doi.org/10.5194/isprs-annals-V-3-2022-107-2022,https://doi.org/10.5194/isprs-annals-V-3-2022-107-2022, 2022

INVESTIGATING 2D AND 3D CONVOLUTIONS FOR MULTITEMPORAL LAND COVER CLASSIFICATION USING REMOTE SENSING IMAGES

M. Voelsen, M. Teimouri, F. Rottensteiner, and C. Heipke

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2022, 271–279, https://doi.org/10.5194/isprs-annals-V-3-2022-271-2022,https://doi.org/10.5194/isprs-annals-V-3-2022-271-2022, 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

COOPERATIVE LOCALISATION USING IMAGE SENSORS IN A DYNAMIC TRAFFIC SCENARIO

P. Trusheim, Y. Chen, F. Rottensteiner, and C. Heipke

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2021, 117–124, https://doi.org/10.5194/isprs-archives-XLIII-B1-2021-117-2021,https://doi.org/10.5194/isprs-archives-XLIII-B1-2021-117-2021, 2021

LEARNING MULTI-MODAL FEATURES FOR DENSE MATCHING-BASED CONFIDENCE ESTIMATION

K. Heinrich and M. Mehltretter

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2021, 91–99, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-91-2021,https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-91-2021, 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

CNN-BASED MULTI-SCALE HIERARCHICAL LAND USE CLASSIFICATION FOR THE VERIFICATION OF GEOSPATIAL DATABASES

C. Yang, F. Rottensteiner, and C. Heipke

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2021, 495–502, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-495-2021,https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-495-2021, 2021

CONCEPT TO ANALYZE THE DISPLACEMENT TIME SERIES OF INDIVIDUAL PERSISTENT SCATTERERS

M. Evers, A. Thiele, H. Hammer, E. Cadario, K. Schulz, and S. Hinz

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2021, 147–154, https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-147-2021,https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-147-2021, 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

THERMAL ANOMALY DETECTION BASED ON SALIENCY ANALYSIS FROM MULTIMODAL IMAGING SOURCES

A. Sledz and C. Heipke

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-1-2021, 55–64, https://doi.org/10.5194/isprs-annals-V-1-2021-55-2021,https://doi.org/10.5194/isprs-annals-V-1-2021-55-2021, 2021

MOUNTING CALIBRATION OF A MULTI-VIEW CAMERA SYSTEM ON A UAV PLATFORM

M. Mohammadi, A. Khami, F. Rottensteiner, I. Neumann, and C. Heipke

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-1-2021, 97–104, https://doi.org/10.5194/isprs-annals-V-1-2021-97-2021,https://doi.org/10.5194/isprs-annals-V-1-2021-97-2021, 2021

MIXED PROBABILITY MODELS FOR ALEATORIC UNCERTAINTY ESTIMATION IN THE CONTEXT OF DENSE STEREO MATCHING

Z. Zhong and M. Mehltretter

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2021, 17–26, https://doi.org/10.5194/isprs-annals-V-2-2021-17-2021,https://doi.org/10.5194/isprs-annals-V-2-2021-17-2021, 2021

SEMI-SUPERVISED SEGMENTATION OF CONCRETE AGGREGATE USING CONSENSUS REGULARISATION AND PRIOR GUIDANCE

M. Coenen, T. Schack, D. Beyer, C. Heipke, and M. Haist

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2021, 83–91, https://doi.org/10.5194/isprs-annals-V-2-2021-83-2021,https://doi.org/10.5194/isprs-annals-V-2-2021-83-2021, 2021

INVESTIGATIONS ON FEATURE SIMILARITY AND THE IMPACT OF TRAINING DATA FOR LAND COVER CLASSIFICATION

M. Voelsen, D. Lobo Torres, R. Q. Feitosa, F. Rottensteiner, and C. Heipke

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