INFLUENCE OF IMAGE INTERPOLATION ON IMAGERY-BASED DETECTION AND COMPENSATION OF SATELLITE JITTER

Ye, Z.; Xu, Y.; Wei, C.; Tong, X.; Stilla, U.

doi:https://doi.org/10.5194/isprs-annals-V-1-2020-157-2020

Articles | Volume V-1-2020

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Articles | Volume V-1-2020

https://doi.org/10.5194/isprs-annals-V-1-2020-157-2020

Articles | Volume V-1-2020

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03 Aug 2020

| 03 Aug 2020

INFLUENCE OF IMAGE INTERPOLATION ON IMAGERY-BASED DETECTION AND COMPENSATION OF SATELLITE JITTER

Z. Ye, Y. Xu, C. Wei, X. Tong, and U. Stilla

Z. Ye

College of Surveying and Geo-Informatics, Tongji University, Shanghai 200092, China

Photogrammetry and Remote Sensing, Technische Universitaet Muenchen, Munich 80333, Germany

Y. Xu

Photogrammetry and Remote Sensing, Technische Universitaet Muenchen, Munich 80333, Germany

C. Wei

College of Surveying and Geo-Informatics, Tongji University, Shanghai 200092, China

X. Tong

College of Surveying and Geo-Informatics, Tongji University, Shanghai 200092, China

U. Stilla

https://orcid.org/0000-0002-1184-0924

Photogrammetry and Remote Sensing, Technische Universitaet Muenchen, Munich 80333, Germany

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MINDFLOW BASED DENSE MATCHING BETWEEN TIR AND RGB IMAGES

J. Zhu, Z. Ye, Y. Xu, L. Hoegner, and U. Stilla

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 111–118, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-111-2020,https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-111-2020, 2020

SEMANTIC LABELING AND REFINEMENT OF LIDAR POINT CLOUDS USING DEEP NEURAL NETWORK IN URBAN AREAS

R. Huang, Z. Ye, D. Hong, Y. Xu, and U. Stilla

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W7, 63–70, https://doi.org/10.5194/isprs-annals-IV-2-W7-63-2019,https://doi.org/10.5194/isprs-annals-IV-2-W7-63-2019, 2019

FAST PAIRWISE COARSE REGISTRATION BETWEEN POINT CLOUDS OF CONSTRUCTION SITES USING 2D PROJECTION BASED PHASE CORRELATION

R. Huang, Z. Ye, R. Boerner, W. Yao, Y. Xu, and U. Stilla

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 1015–1020, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1015-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W13-1015-2019, 2019

PRECISE DISPARITY ESTIMATION FOR NARROW BASELINE STEREO BASED ON MULTISCALE SUPERPIXELS AND PHASE CORRELATION

Z. Ye, Y. Xu, L. Hoegner, X. Tong, and U. Stilla

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 147–153, https://doi.org/10.5194/isprs-archives-XLII-2-W13-147-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W13-147-2019, 2019

3D POINT CLOUD COMPLETION USING TERRAIN-CONTINUOUS CONSTRAINTS AND DISTANCE-WEIGHTED INTERPOLATION FOR LUNAR TOPOGRAPHIC MAPPING

S. Xu, R. Huang, Y. Xu, Z. Ye, H. Xie, and X. Tong

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W2-2023, 771–776, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-771-2023,https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-771-2023, 2023

Thirty-meter map of young forest age in China

Yuelong Xiao, Qunming Wang, Xiaohua Tong, and Peter M. Atkinson

Earth Syst. Sci. Data, 15, 3365–3386, https://doi.org/10.5194/essd-15-3365-2023,https://doi.org/10.5194/essd-15-3365-2023, 2023

Short summary

Forest age is closely related to forest production, carbon cycles, and other ecosystem services. Existing stand age products in China derived from remote-sensing images are of a coarse spatial resolution and are not suitable for applications at the regional scale. Here, we mapped young forest ages across China at an unprecedented fine spatial resolution of 30 m. The overall accuracy (OA) of the generated map of young forest stand ages across China was 90.28 %.

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COMBINING VISIBILITY ANALYSIS AND DEEP LEARNING FOR REFINEMENT OF SEMANTIC 3D BUILDING MODELS BY CONFLICT CLASSIFICATION

O. Wysocki, E. Grilli, L. Hoegner, and U. Stilla

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-4-W2-2022, 289–296, https://doi.org/10.5194/isprs-annals-X-4-W2-2022-289-2022,https://doi.org/10.5194/isprs-annals-X-4-W2-2022-289-2022, 2022

DETECTION AND CORRECTION OF JITTER EFFECT FOR SATELLITE TDICCD IMAGERY

H. Zhang, B. Xie, S. Liu, R. Ding, Z. Ye, and X. Tong

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2022, 79–84, https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-79-2022,https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-79-2022, 2022

AUTO-ADAPTIVE MULTI-LEVEL SEAFLOOR RECOGNITION AND LAND SEA CLASSIFICATION (AMSRLC) IN REEF-ISLAND ZONES USING ICESAT-2 LASER ALTIMETRY

Q. Xu, H. Xie, Y. Sun, X. Liu, Y. Guo, P. Huang, B. Li, and X. Tong

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 309–314, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-309-2022,https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-309-2022, 2022

PHOTOGRAMMETRIC MONITORING OF GRAVITATIONAL MASS MOVEMENTS IN ALPINE REGIONS BY MARKERLESS 3D MOTION CAPTURE

L. Lucks, P.-R. Hirt, L. Hoegner, and U. Stilla

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 1063–1069, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-1063-2022,https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-1063-2022, 2022

RESEARCH ON QUALITY TESTING AND EVALUATION TECHNOLOGY OF FUNDAMENTAL GEOGRAPHIC INFORMATION DATABASE SYSTEM

H. Zhang, Y. Shang, X. Tong, J. Chen, W. Ma, M. Li, Y. Lu, and H. Chen

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2022, 619–625, https://doi.org/10.5194/isprs-annals-V-3-2022-619-2022,https://doi.org/10.5194/isprs-annals-V-3-2022-619-2022, 2022

TUM-FAÇADE: REVIEWING AND ENRICHING POINT CLOUD BENCHMARKS FOR FAÇADE SEGMENTATION

O. Wysocki, L. Hoegner, and U. Stilla

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-2-W1-2022, 529–536, https://doi.org/10.5194/isprs-archives-XLVI-2-W1-2022-529-2022,https://doi.org/10.5194/isprs-archives-XLVI-2-W1-2022-529-2022, 2022

UNLOCKING POINT CLOUD POTENTIAL: FUSING MLS POINT CLOUDS WITH SEMANTIC 3D BUILDING MODELS WHILE CONSIDERING UNCERTAINTY

O. Wysocki, Y. Xu, and U. Stilla

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., VIII-4-W2-2021, 45–52, https://doi.org/10.5194/isprs-annals-VIII-4-W2-2021-45-2021,https://doi.org/10.5194/isprs-annals-VIII-4-W2-2021-45-2021, 2021

INFORMATION ACQUISITION ON PEDESTRIAN MOVEMENTS IN URBAN TRAFFIC WITH A MOBILE MULTI-SENSOR SYSTEM

B. Borgmann, M. Hebel, M. Arens, and U. Stilla

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2021, 131–138, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-131-2021,https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-131-2021, 2021

A CONCEPT FOR THE SEGMENTATION OF INDIVIDUAL URBAN TREES FROM DENSE MLS POINT CLOUDS

P.-R. Hirt, L. Hoegner, and U. Stilla

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2021, 171–178, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-171-2021,https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-171-2021, 2021

REVIEW ON PHOTOGRAMMETRIC SURFACE INSPECTION IN AUTOMOTIVE PRODUCTION

M. Hödel, L. Hoegner, and U. Stilla

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2021, 511–518, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-511-2021,https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-511-2021, 2021

EFFICIENT TOUR PLANNING FOR A MEASUREMENT VEHICLE BY COMBINING NEXT BEST VIEW AND TRAVELING SALESMAN

J. Gehrung, M. Hebel, M. Arens, and U. Stilla

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2021, 729–736, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-729-2021,https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-729-2021, 2021

ICE FLOW VELOCITY MAPPING IN EAST ANTARCTICA USING HISTORICAL IMAGES FROM 1960s TO 1980s: RECENT PROGRESS

S. Luo, Y. Cheng, Z. Li, Y. Wang, K. Wang, X. Wang, G. Qiao, W. Ye, Y. Li, M. Xia, X. Yuan, Y. Tian, X. Tong, and R. Li

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2021, 491–496, https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-491-2021,https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-491-2021, 2021

PLASTIC SURGERY FOR 3D CITY MODELS: A PIPELINE FOR AUTOMATIC GEOMETRY REFINEMENT AND SEMANTIC ENRICHMENT

O. Wysocki, B. Schwab, L. Hoegner, T. H. Kolbe, and U. Stilla

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-4-2021, 17–24, https://doi.org/10.5194/isprs-annals-V-4-2021-17-2021,https://doi.org/10.5194/isprs-annals-V-4-2021-17-2021, 2021

ACCURACY INVESTIGATION ON IMAGE-BASED CHANGE DETECTION FOR BIM COMPLIANT INDOOR MODELS

T. Meyer, A. Brunn, and U. Stilla

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-4-2021, 105–112, https://doi.org/10.5194/isprs-annals-V-4-2021-105-2021,https://doi.org/10.5194/isprs-annals-V-4-2021-105-2021, 2021

AREA ESTIMATION OF MULTI-TEMPORAL GLOBAL IMPERVIOUS LAND COVER BASED ON STRATIFIED RANDOM SAMPLING

Y. Gong, H. Xie, X. Tong, Y. Jin, X. Xv, and Q. Wang

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2020, 103–108, https://doi.org/10.5194/isprs-archives-XLIII-B4-2020-103-2020,https://doi.org/10.5194/isprs-archives-XLIII-B4-2020-103-2020, 2020

MINDFLOW BASED DENSE MATCHING BETWEEN TIR AND RGB IMAGES

J. Zhu, Z. Ye, Y. Xu, L. Hoegner, and U. Stilla

EFFECT OF IMAGE MATCHING WINDOW SIZE ON SATELLITE JITTER FREQUENCY DETECTION

H. Zhang, S. Liu, Z. Ye, X. Tong, H. Xie, S. Zheng, and Q. Du

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2020, 149–155, https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-149-2020,https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-149-2020, 2020

CONCEPT ON LANDMARK DETECTION IN ROAD SCENE IMAGES TAKEN FROM A TOP-VIEW CAMERA SYSTEM

C. Albrecht, S. Kraus, and U. Stilla

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2020, 205–209, https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-205-2020,https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-205-2020, 2020

PEDESTRIAN DETECTION AND TRACKING IN SPARSE MLS POINT CLOUDS USING A NEURAL NETWORK AND VOTING-BASED APPROACH

B. Borgmann, M. Hebel, M. Arens, and U. Stilla

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2020, 187–194, https://doi.org/10.5194/isprs-annals-V-2-2020-187-2020,https://doi.org/10.5194/isprs-annals-V-2-2020-187-2020, 2020

EFFICIENT ESTIMATION OF 3D SHIFTS BETWEEN POINT CLOUDS USING LOW-FREQUENCY COMPONENTS OF PHASE CORRELATION

R. Huang, Y. Xu, L. Hoegner, and U. Stilla

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2020, 227–234, https://doi.org/10.5194/isprs-annals-V-2-2020-227-2020,https://doi.org/10.5194/isprs-annals-V-2-2020-227-2020, 2020

RIDF: A ROBUST ROTATION-INVARIANT DESCRIPTOR FOR 3D POINT CLOUD REGISTRATION IN THE FREQUENCY DOMAIN

R. Huang, W. Yao, Z. Ye, Y. Xu, and U. Stilla

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2020, 235–242, https://doi.org/10.5194/isprs-annals-V-2-2020-235-2020,https://doi.org/10.5194/isprs-annals-V-2-2020-235-2020, 2020

CHANGE DETECTION IN PHOTOGRAMMETRIC POINT CLOUDS FOR MONITORING OF ALPINE, GRAVITATIONAL MASS MOVEMENTS

A. Dinkel, L. Hoegner, A. Emmert, L. Raffl, and U. Stilla

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2020, 687–693, https://doi.org/10.5194/isprs-annals-V-2-2020-687-2020,https://doi.org/10.5194/isprs-annals-V-2-2020-687-2020, 2020

CHANGE DETECTION AND DEFORMATION ANALYSIS BASED ON MOBILE LASER SCANNING DATA OF URBAN AREAS

J. Gehrung, M. Hebel, M. Arens, and U. Stilla

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2020, 703–710, https://doi.org/10.5194/isprs-annals-V-2-2020-703-2020,https://doi.org/10.5194/isprs-annals-V-2-2020-703-2020, 2020

COMPLETION OF SPARSE AND PARTIAL POINT CLOUDS OF VEHICLES USING A NOVEL END-TO-END NETWORK

Y. Xia, W. Liu, Z. Luo, Y. Xu, and U. Stilla

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2020, 933–940, https://doi.org/10.5194/isprs-annals-V-2-2020-933-2020,https://doi.org/10.5194/isprs-annals-V-2-2020-933-2020, 2020

SELECTION OF PERSISTENT SCATTERER INTERFEROMETRIC SYNTHETIC APERTURE RADAR MASTER IMAGE CONSIDERING TEMPORAL BASELINE, SPATIAL BASELINE AND DOPPLER CENTROID FREQUENCY DIFFERENCE

Y. Lu, J. Zhang, X. Tong, X. Lu, W. Han, H. Zhang, H. Zhao, and X. Liu

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2020, 141–148, https://doi.org/10.5194/isprs-annals-V-3-2020-141-2020,https://doi.org/10.5194/isprs-annals-V-3-2020-141-2020, 2020

CRATER DETECTION USING TEXTURE FEATURE AND RANDOM PROJECTION DEPTH FUNCTION

Y. Wang, X. Tong, H. Xie, M. Jiang, Y. Huang, S. Liu, X. Xu, Q. Du, Q. Wang, and C. Wang

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2020, 603–608, https://doi.org/10.5194/isprs-annals-V-3-2020-603-2020,https://doi.org/10.5194/isprs-annals-V-3-2020-603-2020, 2020

PIA19+MRSS19 – PHOTOGRAMMETRIC IMAGE ANALYSIS 2019 & MUNICH REMOTE SENSING SYMPOSIUM 2019: PREFACE

U. Stilla

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W16, 1–2, https://doi.org/10.5194/isprs-archives-XLII-2-W16-1-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W16-1-2019, 2019

A CONCEPT FOR AN AUTOMATED APPROACH OF PUBLIC TRANSPORT VEHICLES TO A BUS STOP

C. Albrecht, S. Kraus, A. Zimmermann, and U. Stilla

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W16, 13–20, https://doi.org/10.5194/isprs-archives-XLII-2-W16-13-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W16-13-2019, 2019

BLOCK ADJUSTMENT OF LARGE-SCALE HIGH-RESOLUTION OPTICAL SATELLITE IMAGERY WITHOUT GCPS BASED ON THE GPU

Q. Fu, S. Liu, X. Tong, and H. Wang

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W16, 91–94, https://doi.org/10.5194/isprs-archives-XLII-2-W16-91-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W16-91-2019, 2019

SEMANTIC ROAD SCENE KNOWLEDGE FOR ROBUST SELF-CALIBRATION OF ENVIRONMENT-OBSERVING VEHICLE CAMERAS

A. Hanel and U. Stilla

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W16, 103–110, https://doi.org/10.5194/isprs-archives-XLII-2-W16-103-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W16-103-2019, 2019

A MATHEMATICAL SENSOR MODEL FOR INDOOR USE OF A MULTI-BEAM ROTATING 3D LIDAR

L. S. Tessema, R. Jaeger, and U. Stilla

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W16, 227–234, https://doi.org/10.5194/isprs-archives-XLII-2-W16-227-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W16-227-2019, 2019

FUSION OF FEATURE BASED AND DEEP LEARNING METHODS FOR CLASSIFICATION OF MMS POINT CLOUDS

D. Tosic, S. Tuttas, L. Hoegner, and U. Stilla

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W16, 235–242, https://doi.org/10.5194/isprs-archives-XLII-2-W16-235-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W16-235-2019, 2019

PIA19+MRSS19 – PHOTOGRAMMETRIC IMAGE ANALYSIS 2019 & MUNICH REMOTE SENSING SYMPOSIUM 2019: PREFACE

U. Stilla

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W7, 1–2, https://doi.org/10.5194/isprs-annals-IV-2-W7-1-2019,https://doi.org/10.5194/isprs-annals-IV-2-W7-1-2019, 2019

SEMANTIC CHANGE DETECTION OF RIVER GROUND POINTS IN AIRBORNE LIDAR BATHYMETRY DATA USING VOXEL OCCUPANCIES

R. Boerner, L. Hoegner, and U. Stilla

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W7, 9–15, https://doi.org/10.5194/isprs-annals-IV-2-W7-9-2019,https://doi.org/10.5194/isprs-annals-IV-2-W7-9-2019, 2019

USING NEURAL NETWORKS TO DETECT OBJECTS IN MLS POINT CLOUDS BASED ON LOCAL POINT NEIGHBORHOODS

B. Borgmann, M. Hebel, M. Arens, and U. Stilla

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W7, 17–24, https://doi.org/10.5194/isprs-annals-IV-2-W7-17-2019,https://doi.org/10.5194/isprs-annals-IV-2-W7-17-2019, 2019

DEVELOPMENT OF A HIGH-SPEED VIDEOGRAMMETRIC MEASUREMENT SYSTEM WITH APPLICATION IN LARGE-SCALE SHAKING TABLE TEST

S. Gao, Z. Ye, C. Wei, X. Liu, and X. Tong

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W7, 33–38, https://doi.org/10.5194/isprs-annals-IV-2-W7-33-2019,https://doi.org/10.5194/isprs-annals-IV-2-W7-33-2019, 2019

A REPRESENTATION OF MLS DATA AS A BASIS FOR TERRAIN NAVIGABILITY ANALYSIS AND SENSOR DEPLOYMENT PLANNING

J. Gehrung, M. Hebel, M. Arens, and U. Stilla

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W7, 39–46, https://doi.org/10.5194/isprs-annals-IV-2-W7-39-2019,https://doi.org/10.5194/isprs-annals-IV-2-W7-39-2019, 2019

MONOCULAR-DEPTH ASSISTED SEMI-GLOBAL MATCHING

M. Hödel, T. Koch, L. Hoegner, and U. Stilla

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W7, 55–62, https://doi.org/10.5194/isprs-annals-IV-2-W7-55-2019,https://doi.org/10.5194/isprs-annals-IV-2-W7-55-2019, 2019

SEMANTIC LABELING AND REFINEMENT OF LIDAR POINT CLOUDS USING DEEP NEURAL NETWORK IN URBAN AREAS

R. Huang, Z. Ye, D. Hong, Y. Xu, and U. Stilla

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W7, 63–70, https://doi.org/10.5194/isprs-annals-IV-2-W7-63-2019,https://doi.org/10.5194/isprs-annals-IV-2-W7-63-2019, 2019

ULTRA-HIGH RESOLUTION IMAGING OF FACADES AND VERTICAL INFRASTRUCTURE BY CARBORNE SAR AND AIRBORNE CSAR

S. Palm, R. Sommer, A. Tessmann, and U. Stilla

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W7, 129–136, https://doi.org/10.5194/isprs-annals-IV-2-W7-129-2019,https://doi.org/10.5194/isprs-annals-IV-2-W7-129-2019, 2019

USING COHERENT SCATTERERS IN TIME SERIES OF HIGH RESOLUTION SAR IMAGES FOR THE MONITORING OF CONSTRUCTION ACTIVITY

C. Villamil Lopez and U. Stilla

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W7, 183–187, https://doi.org/10.5194/isprs-annals-IV-2-W7-183-2019,https://doi.org/10.5194/isprs-annals-IV-2-W7-183-2019, 2019

CONTOUR EXTRACTION OF PLANAR ELEMENTS OF BUILDING FACADES FROM POINT CLOUDS USING GLOBAL GRAPH-BASED CLUSTERING

Y. Xu and U. Stilla

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W7, 211–219, https://doi.org/10.5194/isprs-annals-IV-2-W7-211-2019,https://doi.org/10.5194/isprs-annals-IV-2-W7-211-2019, 2019

DIRECT CO-REGISTRATION OF TIR IMAGES AND MLS POINT CLOUDS BY CORRESPONDING KEYPOINTS

J. Zhu, Y. Xu, L. Hoegner, and U. Stilla

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W7, 235–242, https://doi.org/10.5194/isprs-annals-IV-2-W7-235-2019,https://doi.org/10.5194/isprs-annals-IV-2-W7-235-2019, 2019

FAST PAIRWISE COARSE REGISTRATION BETWEEN POINT CLOUDS OF CONSTRUCTION SITES USING 2D PROJECTION BASED PHASE CORRELATION

R. Huang, Z. Ye, R. Boerner, W. Yao, Y. Xu, and U. Stilla

CLASSIFICATION ACCURACY ASSESSMENT FOR REGIONAL VECTOR DATA PRODUCT BASED ON SPATIAL SAMPLING: A CASE STUDY OF JAPAN

Y. Lu, J. Zhang, X. Tong, W. Han, and H. Zhao

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 1243–1247, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1243-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W13-1243-2019, 2019

ICE FLOW VELOCITY MAPPING OF EAST ANTARCTICA FROM 1963 TO 1989

Y. Cheng, X. Li, G. Qiao, W. Ye, Y. Huang, Y. Li, K. Wang, Y. Tian, X. Tong, and R. Li

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 1735–1739, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1735-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W13-1735-2019, 2019

MULTI-SOURCE SATELLITE OBSERVATIONS REVEAL EVOLUTION PATTERN OF RIFTS IN THE FILCHNER-RONNE ICE SHELF, ANTARCTICA

R. Li, D. Lv, H. Xiao, S. Liu, Y. Cheng, G. Hai, and X. Tong

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 1759–1763, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1759-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W13-1759-2019, 2019

MASS BALANCE OF ANTARCTIC ICE SHEET FROM 2003 TO 2008: A SYSTEMATICALLY IMPROVED NEW ESTIMATION

R. Li, H. Xie, Y. Tian, W. Du, J. Chen, G. Hai, S. Zhang, and X. Tong

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 1765–1769, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1765-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W13-1765-2019, 2019

PRECISE DISPARITY ESTIMATION FOR NARROW BASELINE STEREO BASED ON MULTISCALE SUPERPIXELS AND PHASE CORRELATION

Z. Ye, Y. Xu, L. Hoegner, X. Tong, and U. Stilla

A FAST VOXEL-BASED INDICATOR FOR CHANGE DETECTION USING LOW RESOLUTION OCTREES

J. Gehrung, M. Hebel, M. Arens, and U. Stilla

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W5, 357–364, https://doi.org/10.5194/isprs-annals-IV-2-W5-357-2019,https://doi.org/10.5194/isprs-annals-IV-2-W5-357-2019, 2019

THE REVIEWING PROCESS FOR ISPRS EVENTS

C. Mallet, I. Dowman, G. Vosselman, U. Stilla, L. Halounova, and N. Paparoditis

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-5, 53–58, https://doi.org/10.5194/isprs-annals-IV-5-53-2018,https://doi.org/10.5194/isprs-annals-IV-5-53-2018, 2018

EXTRACTION OF SOLAR CELLS FROM UAV-BASED THERMAL IMAGE SEQUENCES

L. Hoegner, N. Pfaffenzeller, L. Wagner, and U. Stilla

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-1, 69–75, https://doi.org/10.5194/isprs-annals-IV-1-69-2018,https://doi.org/10.5194/isprs-annals-IV-1-69-2018, 2018

REGISTRATION OF UAV DATA AND ALS DATA USING POINT TO DEM DISTANCES FOR BATHYMETRIC CHANGE DETECTION

R. Boerner, Y. Xu, L. Hoegner, and U. Stilla

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1, 51–58, https://doi.org/10.5194/isprs-archives-XLII-1-51-2018,https://doi.org/10.5194/isprs-archives-XLII-1-51-2018, 2018

FUSION OF 3D POINT CLOUDS WITH TIR IMAGES FOR INDOOR SCENE RECONSTRUCTION

L. Hoegner, T. Abmayr, D. Tosic, S. Turzer, and U. Stilla

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1, 189–194, https://doi.org/10.5194/isprs-archives-XLII-1-189-2018,https://doi.org/10.5194/isprs-archives-XLII-1-189-2018, 2018

DEM BASED REGISTRATION OF MULTI-SENSOR AIRBORNE POINT CLOUDS EXEMPLARY SHOWN ON A RIVER SIDE IN NON URBAN AREA

R. Boerner, Y. Xu, L. Hoegner, R. Baran, F. Steinbacher, and U. Stilla

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 109–116, https://doi.org/10.5194/isprs-archives-XLII-2-109-2018,https://doi.org/10.5194/isprs-archives-XLII-2-109-2018, 2018

USAGE OF MULTIPLE LIDAR SENSORS ON A MOBILE SYSTEM FOR THE DETECTION OF PERSONS WITH IMPLICIT SHAPE MODELS

B. Borgmann, M. Hebel, M. Arens, and U. Stilla

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 125–131, https://doi.org/10.5194/isprs-archives-XLII-2-125-2018,https://doi.org/10.5194/isprs-archives-XLII-2-125-2018, 2018

SEMANTIC SEGMENTATION OF BUILDING ELEMENTS USING POINT CLOUD HASHING

M. Chizhova, A. Gurianov, M. Hess, T. Luhmann, A. Brunn, and U. Stilla

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 241–250, https://doi.org/10.5194/isprs-archives-XLII-2-241-2018,https://doi.org/10.5194/isprs-archives-XLII-2-241-2018, 2018

EVALUATION OF A TRAFFIC SIGN DETECTOR BY SYNTHETIC IMAGE DATA FOR ADVANCED DRIVER ASSISTANCE SYSTEMS

A. Hanel, D. Kreuzpaintner, and U. Stilla

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 425–432, https://doi.org/10.5194/isprs-archives-XLII-2-425-2018,https://doi.org/10.5194/isprs-archives-XLII-2-425-2018, 2018

METRIC SCALE CALCULATION FOR VISUAL MAPPING ALGORITHMS

A. Hanel, A. Mitschke, R. Boerner, D. Van Opdenbosch, L. Hoegner, D. Brodie, and U. Stilla

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 433–440, https://doi.org/10.5194/isprs-archives-XLII-2-433-2018,https://doi.org/10.5194/isprs-archives-XLII-2-433-2018, 2018

A VOXEL-BASED METADATA STRUCTURE FOR CHANGE DETECTION IN POINT CLOUDS OF LARGE-SCALE URBAN AREAS

J. Gehrung, M. Hebel, M. Arens, and U. Stilla

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2, 97–104, https://doi.org/10.5194/isprs-annals-IV-2-97-2018,https://doi.org/10.5194/isprs-annals-IV-2-97-2018, 2018

CLASSIFICATION OF MLS POINT CLOUDS IN URBAN SCENES USING DETRENDED GEOMETRIC FEATURES FROM SUPERVOXEL-BASED LOCAL CONTEXTS

Z. Sun, Y. Xu, L. Hoegner, and U. Stilla

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2, 271–278, https://doi.org/10.5194/isprs-annals-IV-2-271-2018,https://doi.org/10.5194/isprs-annals-IV-2-271-2018, 2018

SURFACE SNOW DENSITY OF EAST ANTARCTICA DERIVED FROM IN-SITU OBSERVATIONS

Y. Tian, S. Zhang, W. Du, J. Chen, H. Xie, X. Tong, and R. Li

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 1657–1660, https://doi.org/10.5194/isprs-archives-XLII-3-1657-2018,https://doi.org/10.5194/isprs-archives-XLII-3-1657-2018, 2018

GENERATION OF GROUND TRUTH DATASETS FOR THE ANALYSIS OF 3D POINT CLOUDS IN URBAN SCENES ACQUIRED VIA DIFFERENT SENSORS

Y. Xu, Z. Sun, R. Boerner, T. Koch, L. Hoegner, and U. Stilla

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 2009–2015, https://doi.org/10.5194/isprs-archives-XLII-3-2009-2018,https://doi.org/10.5194/isprs-archives-XLII-3-2009-2018, 2018

COMPARISON OF DIFFERENT ATTITUDE CORRECTION MODELS FOR ZY-3 SATELLITE IMAGERY

Wenping Song, Shijie Liu, Xiaohua Tong, Changling Niu, Zhen Ye, Han Zhang, and Yanmin Jin

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-3, 193–196, https://doi.org/10.5194/isprs-annals-IV-3-193-2018,https://doi.org/10.5194/isprs-annals-IV-3-193-2018, 2018

EFFECT OF ANTENNA POINTING ERRORS ON SAR IMAGING CONSIDERING THE CHANGE OF THE POINT TARGET LOCATION

Xin Zhang, Shijie Liu, Haifeng Yu, Xiaohua Tong, and Guoman Huang

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-3, 267–271, https://doi.org/10.5194/isprs-annals-IV-3-267-2018,https://doi.org/10.5194/isprs-annals-IV-3-267-2018, 2018

PRECISION AND DEVIATION COMPARISON BETWEEN ICESAT AND ENVISAT IN TYPICAL ICE GAINING AND LOSING REGIONS OF ANTARCTICA

W. Du, L. Chen, H. Xie, G. Hai, S. Zhang, and X. Tong

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W7, 1513–1516, https://doi.org/10.5194/isprs-archives-XLII-2-W7-1513-2017,https://doi.org/10.5194/isprs-archives-XLII-2-W7-1513-2017, 2017

EXPERIMENTAL DEM EXTRACTION FROM ASTER STEREO PAIRS AND 3D REGISTRATION BASED ON ICESAT LASER ALTIMETRY DATA IN UPSTREAM AREA OF LAMBERT GLACIER, ANTARCTICA

G. Hai, H. Xie, J. Chen, L. Chen, R. Li, and X. Tong

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W7, 1517–1520, https://doi.org/10.5194/isprs-archives-XLII-2-W7-1517-2017,https://doi.org/10.5194/isprs-archives-XLII-2-W7-1517-2017, 2017

DEM RECONSTRUCTION OF LARSEN B REGION BASED ON 1960S OPTICAL SATELLITE IMAGERY

M. Xia, G. Tang, Y. Tian, W. Ye, R. Li, and X. Tong

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W7, 1569–1573, https://doi.org/10.5194/isprs-archives-XLII-2-W7-1569-2017,https://doi.org/10.5194/isprs-archives-XLII-2-W7-1569-2017, 2017

2D EVOLUTION PATTERN AND 3D RECONSTRUCTION OF TWO LARGE RIFTS IN FILCHNER ICE SHELF FROM SATELLITE IMAGES

H. Xiao, S. Liu, R. Li, and X. Tong

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W7, 1575–1577, https://doi.org/10.5194/isprs-archives-XLII-2-W7-1575-2017,https://doi.org/10.5194/isprs-archives-XLII-2-W7-1575-2017, 2017

AUTOMATED COARSE REGISTRATION OF POINT CLOUDS IN 3D URBAN SCENES USING VOXEL BASED PLANE CONSTRAINT

Y. Xu, R. Boerner, W. Yao, L. Hoegner, and U. Stilla

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W4, 185–191, https://doi.org/10.5194/isprs-annals-IV-2-W4-185-2017,https://doi.org/10.5194/isprs-annals-IV-2-W4-185-2017, 2017

DETECTION OF PERSONS IN MLS POINT CLOUDS

B. Borgmann, M. Hebel, M. Arens, and U. Stilla

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W7, 203–210, https://doi.org/10.5194/isprs-archives-XLII-2-W7-203-2017,https://doi.org/10.5194/isprs-archives-XLII-2-W7-203-2017, 2017

A Systematic Study of the Fracturing of Ronne - Filchner Ice Shelf, Antarctica, Using Multisource Satellite Data from 2001 to 2016

Rongxing Li, Haifeng Xiao, Shijie Liu, and Xiaohua Tong

The Cryosphere Discuss., https://doi.org/10.5194/tc-2017-178,https://doi.org/10.5194/tc-2017-178, 2017

Revised manuscript not accepted

Short summary

Fracturing in the RFIS was slightly increased, particularly at its front, from 2003 to 2015. They do not seem to suggest an immediate significant impact on the stability of the shelf. However, with the rapid changes and 3D measurements of Rifts 1 and 2, the most active activities occurred at the front of the FIS from 2001 to 2016. A potential upcoming major calving event in FIS is estimated to occur in 2051. The stability of the ice shelf, particularly Rifts 1 and 2, should be closely monitored.

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HIGH-PRECISION ATTITUDE ESTIMATION METHOD OF STAR SENSORS AND GYRO BASED ON COMPLEMENTARY FILTER AND UNSCENTED KALMAN FILTER

C. Guo, X. Tong, S. Liu, S. Liu, X. Lu, P. Chen, Y. Jin, and H. Xie

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W1, 49–53, https://doi.org/10.5194/isprs-archives-XLII-3-W1-49-2017,https://doi.org/10.5194/isprs-archives-XLII-3-W1-49-2017, 2017

SIMULATION EXPERIMENT ON LANDING SITE SELECTION USING A SIMPLE GEOMETRIC APPROACH

W. Zhao, X. Tong, H. Xie, Y. Jin, S. Liu, D. Wu, X. Liu, L. Guo, and Q. Zhou

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W1, 213–218, https://doi.org/10.5194/isprs-archives-XLII-3-W1-213-2017,https://doi.org/10.5194/isprs-archives-XLII-3-W1-213-2017, 2017

A ROBUST METHOD FOR STEREO VISUAL ODOMETRY BASED ON MULTIPLE EUCLIDEAN DISTANCE CONSTRAINT AND RANSAC ALGORITHM

Q. Zhou, X. Tong, S. Liu, X. Lu, S. Liu, P. Chen, Y. Jin, and H. Xie

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W1, 219–224, https://doi.org/10.5194/isprs-archives-XLII-3-W1-219-2017,https://doi.org/10.5194/isprs-archives-XLII-3-W1-219-2017, 2017

VOXEL BASED SEGMENTATION OF LARGE AIRBORNE TOPOBATHYMETRIC LIDAR DATA

R. Boerner, L. Hoegner, and U. Stilla

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1-W1, 107–114, https://doi.org/10.5194/isprs-archives-XLII-1-W1-107-2017,https://doi.org/10.5194/isprs-archives-XLII-1-W1-107-2017, 2017

STRUCTURE-FROM-MOTION FOR CALIBRATION OF A VEHICLE CAMERA SYSTEM WITH NON-OVERLAPPING FIELDS-OF-VIEW IN AN URBAN ENVIRONMENT

A. Hanel and U. Stilla

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1-W1, 181–188, https://doi.org/10.5194/isprs-archives-XLII-1-W1-181-2017,https://doi.org/10.5194/isprs-archives-XLII-1-W1-181-2017, 2017

VOXEL- AND GRAPH-BASED POINT CLOUD SEGMENTATION OF 3D SCENES USING PERCEPTUAL GROUPING LAWS

Y. Xu, L. Hoegner, S. Tuttas, and U. Stilla

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-1-W1, 43–50, https://doi.org/10.5194/isprs-annals-IV-1-W1-43-2017,https://doi.org/10.5194/isprs-annals-IV-1-W1-43-2017, 2017

AN APPROACH TO EXTRACT MOVING OBJECTS FROM MLS DATA USING A VOLUMETRIC BACKGROUND REPRESENTATION

J. Gehrung, M. Hebel, M. Arens, and U. Stilla

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-1-W1, 107–114, https://doi.org/10.5194/isprs-annals-IV-1-W1-107-2017,https://doi.org/10.5194/isprs-annals-IV-1-W1-107-2017, 2017

IMPROVING ACTIVE QUERIES WITH A LOCAL SEGMENTATION STEP AND APPLICATION TO LAND COVER CLASSIFICATION

S. Wuttke, W. Middelmann, and U. Stilla

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-1-W1, 165–173, https://doi.org/10.5194/isprs-annals-IV-1-W1-165-2017,https://doi.org/10.5194/isprs-annals-IV-1-W1-165-2017, 2017

A FRAMEWORK FOR VOXEL-BASED GLOBAL SCALE MODELING OF URBAN ENVIRONMENTS

Joachim Gehrung, Marcus Hebel, Michael Arens, and Uwe Stilla

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W1, 45–51, https://doi.org/10.5194/isprs-archives-XLII-2-W1-45-2016,https://doi.org/10.5194/isprs-archives-XLII-2-W1-45-2016, 2016

LANDSLIDES EXTRACTION FROM DIVERSE REMOTE SENSING DATA SOURCES USING SEMANTIC REASONING SCHEME

W. Cao, X. H. Tong, S. C. Liu, and D. Wang

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B8, 25–31, https://doi.org/10.5194/isprs-archives-XLI-B8-25-2016,https://doi.org/10.5194/isprs-archives-XLI-B8-25-2016, 2016

CLASSIFICATION OF PHOTOGRAMMETRIC POINT CLOUDS OF SCAFFOLDS FOR CONSTRUCTION SITE MONITORING USING SUBSPACE CLUSTERING AND PCA

Y. Xu, S. Tuttas, L. Heogner, and U. Stilla

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B3, 725–732, https://doi.org/10.5194/isprs-archives-XLI-B3-725-2016,https://doi.org/10.5194/isprs-archives-XLI-B3-725-2016, 2016

PALM TREE DETECTION USING CIRCULAR AUTOCORRELATION OF POLAR SHAPE MATRIX

A. Manandhar, L. Hoegner, and U. Stilla

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., III-3, 465–472, https://doi.org/10.5194/isprs-annals-III-3-465-2016,https://doi.org/10.5194/isprs-annals-III-3-465-2016, 2016

SEMANTIC SEGMENTATION OF AERIAL IMAGES WITH AN ENSEMBLE OF CNNS

D. Marmanis, J. D. Wegner, S. Galliani, K. Schindler, M. Datcu, and U. Stilla

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., III-3, 473–480, https://doi.org/10.5194/isprs-annals-III-3-473-2016,https://doi.org/10.5194/isprs-annals-III-3-473-2016, 2016

QUALITY ASSESSMENT OF BUILDING TEXTURES EXTRACTED FROM OBLIQUE AIRBORNE THERMAL IMAGERY

D. Iwaszczuk and U. Stilla

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., III-1, 3–8, https://doi.org/10.5194/isprs-annals-III-1-3-2016,https://doi.org/10.5194/isprs-annals-III-1-3-2016, 2016

Application and prospect of a high-resolution remote sensing and geo-information system in estimating earthquake casualties

T. Feng, Z. Hong, Q. Fu, S. Ma, X. Jie, H. Wu, C. Jiang, and X. Tong

Nat. Hazards Earth Syst. Sci., 14, 2165–2178, https://doi.org/10.5194/nhess-14-2165-2014,https://doi.org/10.5194/nhess-14-2165-2014, 2014

INFLUENCE OF IMAGE INTERPOLATION ON IMAGERY-BASED DETECTION AND COMPENSATION OF SATELLITE JITTER

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