WORKABLE MONITORING SYSTEM BASED ON SPACEBORNE SAR IMAGES FOR MINING AREAS - STINGS DEVELOPMENT PROJECT

Yang, C. H.; Müterthies, A.; Soergel, U.

doi:https://doi.org/10.5194/isprs-archives-XLII-2-W13-1951-2019

Crowd Controls Crowd: Quality Improvement of Polygon Integration in Paid Crowdsourcing

David Collmar, Volker Walter, and Uwe Soergel

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-4-2024, 83–90, https://doi.org/10.5194/isprs-annals-X-4-2024-83-2024,https://doi.org/10.5194/isprs-annals-X-4-2024-83-2024, 2024

SLAM for Indoor Mapping of Wide Area Construction Environments

Vincent Ress, Wei Zhang, David Skuddis, Norbert Haala, and Uwe Soergel

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-2-2024, 209–216, https://doi.org/10.5194/isprs-annals-X-2-2024-209-2024,https://doi.org/10.5194/isprs-annals-X-2-2024-209-2024, 2024

TARGET-GUIDED LEARNING FOR RARE CLASS SEGMENTATION IN LARGE-SCALE URBAN POINT CLOUDS

X. Zhang, D. Lin, R. Xue, and U. Soergel

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W2-2023, 1693–1698, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1693-2023,https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1693-2023, 2023

FROM MULTIPLE POLYGONS TO SINGLE GEOMETRY: OPTIMIZATION OF POLYGON INTEGRATION FOR CROWDSOURCED DATA

D. Collmar, V. Walter, M. Kölle, and U. Sörgel

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1-W1-2023, 159–166, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-159-2023,https://doi.org/10.5194/isprs-annals-X-1-W1-2023-159-2023, 2023

VEHICLE OCCLUSION REMOVAL FROM SINGLE AERIAL IMAGES USING GENERATIVE ADVERSARIAL NETWORKS

M. Xiang, S. Azimi, R. Bahmanyar, U. Sörgel, and P. Reinartz

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1-W1-2023, 629–634, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-629-2023,https://doi.org/10.5194/isprs-annals-X-1-W1-2023-629-2023, 2023

GROUND MOVEMENT ANALYSIS IN POST-MINING CITY USING MTINSAR WITH HELP OF EUROPEAN GROUND MOTION SERVICE

C. H. Yang, C. Stemmler, and A. Müterthies

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1-W1-2023, 739–745, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-739-2023,https://doi.org/10.5194/isprs-annals-X-1-W1-2023-739-2023, 2023

DEVELOPMENT OF A WEB PLATFORM TO VISUALIZE PS-INSAR DATA IN A BUILDING INFORMATION MANAGEMENT SYSTEM

P. J. Schneider, C.-H. Yang, Y. Li, M. Koppe, U. Soergel, K. Pakzad, and T. Rudolf

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1-W1-2023, 869–873, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-869-2023,https://doi.org/10.5194/isprs-annals-X-1-W1-2023-869-2023, 2023

LEARNING ON THE EDGE: BENCHMARKING ACTIVE LEARNING FOR THE SEMANTIC SEGMENTATION OF ALS POINT CLOUDS

M. Kölle, V. Walter, S. Schmohl, and U. Soergel

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1-W1-2023, 945–952, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-945-2023,https://doi.org/10.5194/isprs-annals-X-1-W1-2023-945-2023, 2023

A TWO-STAGE APPROACH FOR RARE CLASS SEGMENTATION IN LARGE-SCALE URBAN POINT CLOUDS

X. Zhang, R. Xue, and U. Soergel

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 329–334, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-329-2022,https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-329-2022, 2022

EVALUATION OF THE QUALITY OF REAL-TIME MAPPING WITH CRANE CAMERAS AND VISUAL SLAM ALGORITHMS

L. Joachim, W. Zhang, N. Haala, and U. Soergel

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 545–552, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-545-2022,https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-545-2022, 2022

INTEGRATED MINING IMPACT MONITORING (EU-PROJECT I²MON) FOR OPEN-PIT AND UNDERGROUND MINES

C. H. Yang, C. Stemmler, K. Pakzad, K. Zimmermann, and A. Müterthies

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2022, 367–372, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-367-2022,https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-367-2022, 2022

URBAN CLASSIFICATION BASED ON TOP-VIEW POINT CLOUD AND SAR IMAGE FUSION WITH SWIN TRANSFORMER

R. Xue, X. Zhang, and U. Soergel

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2022, 559–564, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-559-2022,https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-559-2022, 2022

LEARNING FROM THE PAST: CROWD-DRIVEN ACTIVE TRANSFER LEARNING FOR SEMANTIC SEGMENTATION OF MULTI-TEMPORAL 3D POINT CLOUDS

M. Kölle, V. Walter, and U. Soergel

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2022, 259–266, https://doi.org/10.5194/isprs-annals-V-2-2022-259-2022,https://doi.org/10.5194/isprs-annals-V-2-2022-259-2022, 2022

MATCHING PERSISTENT SCATTERER CLUSTERS TO BUILDING ELEMENTS IN MESH REPRESENTATION

P. J. Schneider and U. Soergel

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2022, 123–130, https://doi.org/10.5194/isprs-annals-V-3-2022-123-2022,https://doi.org/10.5194/isprs-annals-V-3-2022-123-2022, 2022

WHICH 3D DATA REPRESENTATION DOES THE CROWD LIKE BEST? CROWD-BASED ACTIVE LEARNING FOR COUPLED SEMANTIC SEGMENTATION OF POINT CLOUDS AND TEXTURED MESHES

M. Kölle, D. Laupheimer, V. Walter, N. Haala, and U. Soergel

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2021, 93–100, https://doi.org/10.5194/isprs-annals-V-2-2021-93-2021,https://doi.org/10.5194/isprs-annals-V-2-2021-93-2021, 2021

MONITORING OF TIME-SERIES SOIL MOISTURE BASED ON ADVANCED DINSAR

C. H. Yang and A. Müterthies

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2021, 51–55, https://doi.org/10.5194/isprs-annals-V-3-2021-51-2021,https://doi.org/10.5194/isprs-annals-V-3-2021-51-2021, 2021

SEGMENTATION OF BUILDINGS BASED ON HIGH RESOLUTION PERSISTENT SCATTERER POINT CLOUDS

P. J. Schneider and U. Soergel

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2021, 65–71, https://doi.org/10.5194/isprs-annals-V-3-2021-65-2021,https://doi.org/10.5194/isprs-annals-V-3-2021-65-2021, 2021

HYBRID ACQUISITION OF HIGH QUALITY TRAINING DATA FOR SEMANTIC SEGMENTATION OF 3D POINT CLOUDS USING CROWD-BASED ACTIVE LEARNING

M. Kölle, V. Walter, S. Schmohl, and U. Soergel

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2020, 501–508, https://doi.org/10.5194/isprs-annals-V-2-2020-501-2020,https://doi.org/10.5194/isprs-annals-V-2-2020-501-2020, 2020

EXTRACTING AND EVALUATING CLUSTERS IN DINSAR DEFORMATION DATA ON SINGLE BUILDINGS

P. J. Schneider, R. Khamis, and U. Soergel

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2020, 157–163, https://doi.org/10.5194/isprs-annals-V-3-2020-157-2020,https://doi.org/10.5194/isprs-annals-V-3-2020-157-2020, 2020

MODELLING AND PREDICTION OF PRECIPITATION AND SOIL MOVEMENT BASED ON ADINSAR

C. H. Yang and A. Müterthies

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2020, 179–184, https://doi.org/10.5194/isprs-annals-V-3-2020-179-2020,https://doi.org/10.5194/isprs-annals-V-3-2020-179-2020, 2020

Introduction of Integrated Mining Impact Monitoring – i²Mon Development Project

Chia-Hsiang Yang and Andreas Müterthies

Proc. IAHS, 382, 225–229, https://doi.org/10.5194/piahs-382-225-2020,https://doi.org/10.5194/piahs-382-225-2020, 2020

Short summary

SINGLE-IMAGE DEHAZING ON AERIAL IMAGERY USING CONVOLUTIONAL NEURAL NETWORKS

M. Madadikhaljan, R. Bahmanyar, S. M. Azimi, P. Reinartz, and U. Sörgel

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

EVALUATION OF A PSI-BASED CHANGE DETECTION REGARDING SIMULATION, COMPARISON, AND APPLICATION

C. H. Yang and U. Soergel

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 1959–1965, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1959-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W13-1959-2019, 2019

SUBMANIFOLD SPARSE CONVOLUTIONAL NETWORKS FOR SEMANTIC SEGMENTATION OF LARGE-SCALE ALS POINT CLOUDS

S. Schmohl and U. Sörgel

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W5, 77–84, https://doi.org/10.5194/isprs-annals-IV-2-W5-77-2019,https://doi.org/10.5194/isprs-annals-IV-2-W5-77-2019, 2019

ADAPTIVE 4D PSI-BASED CHANGE DETECTION

Chia-Hsiang Yang and Uwe Soergel

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-3, 245–250, https://doi.org/10.5194/isprs-annals-IV-3-245-2018,https://doi.org/10.5194/isprs-annals-IV-3-245-2018, 2018

WATER SURFACE RECONSTRUCTION IN AIRBORNE LASER BATHYMETRY FROM REDUNDANT BED OBSERVATIONS

G. Mandlburger, N. Pfeifer, and U. Soergel

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W4, 123–130, https://doi.org/10.5194/isprs-annals-IV-2-W4-123-2017,https://doi.org/10.5194/isprs-annals-IV-2-W4-123-2017, 2017

Monitoring of Building Construction by 4D Change Detection Using Multi-temporal SAR Images

C. H. Yang, Y. Pang, and U. Soergel

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-1-W1, 35–42, https://doi.org/10.5194/isprs-annals-IV-1-W1-35-2017,https://doi.org/10.5194/isprs-annals-IV-1-W1-35-2017, 2017

SUPPORTING MANAGEMENT OF EUROPEAN REFUGEE STREAMS BY EARTH OBSERVATION AND GEOINFORMATION

K.-U. Komp and A. Müterthies

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B7, 967–972, https://doi.org/10.5194/isprs-archives-XLI-B7-967-2016,https://doi.org/10.5194/isprs-archives-XLI-B7-967-2016, 2016

NETWORK DETECTION IN RASTER DATA USING MARKED POINT PROCESSES

A. Schmidt, C. Kruse, F. Rottensteiner, U. Soergel, and C. Heipke

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B3, 701–708, https://doi.org/10.5194/isprs-archives-XLI-B3-701-2016,https://doi.org/10.5194/isprs-archives-XLI-B3-701-2016, 2016

WORKABLE MONITORING SYSTEM BASED ON SPACEBORNE SAR IMAGES FOR MINING AREAS - STINGS DEVELOPMENT PROJECT

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