A

Andrade, R. B.

• A COMPARISON BETWEEN THE HADOOP AND SPARK DISTRIBUTED FRAMEWORKS IN THE CONTEXT OF REGION-GROWING SEGMENTATION OF REMOTE SENSING IMAGES, pages 3–8

Arens, M.

• USING NEURAL NETWORKS TO DETECT OBJECTS IN MLS POINT CLOUDS BASED ON LOCAL POINT NEIGHBORHOODS, pages 17–24
• A REPRESENTATION OF MLS DATA AS A BASIS FOR TERRAIN NAVIGABILITY ANALYSIS AND SENSOR DEPLOYMENT PLANNING, pages 39–46

B

Bermudez, J. D.

• A MANY-TO-MANY FULLY CONVOLUTIONAL RECURRENT NETWORK FOR MULTITEMPORAL CROP RECOGNITION, pages 25–32
• EVALUATION OF DEEP LEARNING TECHNIQUES FOR DEFORESTATION DETECTION IN THE AMAZON FOREST, pages 121–128
• A COMPARATIVE ANALYSIS OF UNSUPERVISED AND SEMI-SUPERVISED REPRESENTATION LEARNING FOR REMOTE SENSING IMAGE CATEGORIZATION, pages 167–173

Boerner, R.

• SEMANTIC CHANGE DETECTION OF RIVER GROUND POINTS IN AIRBORNE LIDAR BATHYMETRY DATA USING VOXEL OCCUPANCIES, pages 9–15

Borgmann, B.

• USING NEURAL NETWORKS TO DETECT OBJECTS IN MLS POINT CLOUDS BASED ON LOCAL POINT NEIGHBORHOODS, pages 17–24

Brunn, A.

• RULE-BASED MAPPING OF PARKED VEHICLES USING AERIAL IMAGE SEQUENCES, pages 95–101

C

Chamorro, J. A.

• A MANY-TO-MANY FULLY CONVOLUTIONAL RECURRENT NETWORK FOR MULTITEMPORAL CROP RECOGNITION, pages 25–32

Chen, J. Y.

• ANALYSIS OF INFLUENCING FACTORS OF CURVE MATCHING BASED GEOMETRIC CALIBRATION FOR ZY3-02 ALTIMETER DATA, pages 221–226
• AUTOMATIC EXTRACTION OF POWER LINES FROM UAV LIDAR POINT CLOUDS USING A NOVEL SPATIAL FEATURE, pages 227–234

Chen, L. S.

• ANALYSIS OF INFLUENCING FACTORS OF CURVE MATCHING BASED GEOMETRIC CALIBRATION FOR ZY3-02 ALTIMETER DATA, pages 221–226
• AUTOMATIC EXTRACTION OF POWER LINES FROM UAV LIDAR POINT CLOUDS USING A NOVEL SPATIAL FEATURE, pages 227–234

Costa, G. A. O. P.

• A COMPARISON BETWEEN THE HADOOP AND SPARK DISTRIBUTED FRAMEWORKS IN THE CONTEXT OF REGION-GROWING SEGMENTATION OF REMOTE SENSING IMAGES, pages 3–8

D

d’Angelo, P.

• TREE DROUGHT STRESS DETECTION BASED ON 3D MODELLING, pages 205–210

F

Feitosa, R. Q.

• A COMPARISON BETWEEN THE HADOOP AND SPARK DISTRIBUTED FRAMEWORKS IN THE CONTEXT OF REGION-GROWING SEGMENTATION OF REMOTE SENSING IMAGES, pages 3–8
• A MANY-TO-MANY FULLY CONVOLUTIONAL RECURRENT NETWORK FOR MULTITEMPORAL CROP RECOGNITION, pages 25–32
• EVALUATION OF DEEP LEARNING TECHNIQUES FOR DEFORESTATION DETECTION IN THE AMAZON FOREST, pages 121–128
• A COMPARATIVE ANALYSIS OF UNSUPERVISED AND SEMI-SUPERVISED REPRESENTATION LEARNING FOR REMOTE SENSING IMAGE CATEGORIZATION, pages 167–173

G

Gao, S.

• DEVELOPMENT OF A HIGH-SPEED VIDEOGRAMMETRIC MEASUREMENT SYSTEM WITH APPLICATION IN LARGE-SCALE SHAKING TABLE TEST, pages 33–38

Gehrung, J.

• A REPRESENTATION OF MLS DATA AS A BASIS FOR TERRAIN NAVIGABILITY ANALYSIS AND SENSOR DEPLOYMENT PLANNING, pages 39–46

Ghaffar, M. A. A.

• DATA AUGMENTATION APPROACHES FOR SATELLITE IMAGE SUPER-RESOLUTION, pages 47–54

Gomes, A.

• EVALUATION OF DEEP LEARNING TECHNIQUES FOR DEFORESTATION DETECTION IN THE AMAZON FOREST, pages 121–128

H

Haala, N.

• SEMANTIC URBAN MESH ENHANCEMENT UTILIZING A HYBRID MODEL, pages 175–182

Happ, P. N.

• A COMPARISON BETWEEN THE HADOOP AND SPARK DISTRIBUTED FRAMEWORKS IN THE CONTEXT OF REGION-GROWING SEGMENTATION OF REMOTE SENSING IMAGES, pages 3–8
• A MANY-TO-MANY FULLY CONVOLUTIONAL RECURRENT NETWORK FOR MULTITEMPORAL CROP RECOGNITION, pages 25–32
• EVALUATION OF DEEP LEARNING TECHNIQUES FOR DEFORESTATION DETECTION IN THE AMAZON FOREST, pages 121–128
• A COMPARATIVE ANALYSIS OF UNSUPERVISED AND SEMI-SUPERVISED REPRESENTATION LEARNING FOR REMOTE SENSING IMAGE CATEGORIZATION, pages 167–173

Hebel, M.

• USING NEURAL NETWORKS TO DETECT OBJECTS IN MLS POINT CLOUDS BASED ON LOCAL POINT NEIGHBORHOODS, pages 17–24
• A REPRESENTATION OF MLS DATA AS A BASIS FOR TERRAIN NAVIGABILITY ANALYSIS AND SENSOR DEPLOYMENT PLANNING, pages 39–46

Hoegner, L.

• SEMANTIC CHANGE DETECTION OF RIVER GROUND POINTS IN AIRBORNE LIDAR BATHYMETRY DATA USING VOXEL OCCUPANCIES, pages 9–15
• MONOCULAR-DEPTH ASSISTED SEMI-GLOBAL MATCHING, pages 55–62
• DIRECT CO-REGISTRATION OF TIR IMAGES AND MLS POINT CLOUDS BY CORRESPONDING KEYPOINTS, pages 235–242

Hong, D.

• SEMANTIC LABELING AND REFINEMENT OF LIDAR POINT CLOUDS USING DEEP NEURAL NETWORK IN URBAN AREAS, pages 63–70

Huang, R.

• SEMANTIC LABELING AND REFINEMENT OF LIDAR POINT CLOUDS USING DEEP NEURAL NETWORK IN URBAN AREAS, pages 63–70

Hughes, L. H.

• A SEMI-SUPERVISED APPROACH TO SAR-OPTICAL IMAGE MATCHING, pages 71–78
• AGGREGATING CLOUD-FREE SENTINEL-2 IMAGES WITH GOOGLE EARTH ENGINE, pages 145–152
• SEN12MS – A CURATED DATASET OF GEOREFERENCED MULTI-SPECTRAL SENTINEL-1/2 IMAGERY FOR DEEP LEARNING AND DATA FUSION, pages 153–160

Hödel, M.

• MONOCULAR-DEPTH ASSISTED SEMI-GLOBAL MATCHING, pages 55–62

J

Jarron, D.

• MODELLING WIDE-ANGLE LENS CAMERAS FOR METROLOGY AND MAPPING APPLICATIONS, pages 79–86

Jutzi, B.

• IMAGE-TO-IMAGE TRANSLATION FOR ENHANCED FEATURE MATCHING, IMAGE RETRIEVAL AND VISUAL LOCALIZATION, pages 111–119

K

Kazimi, B.

• SEMANTIC SEGMENTATION OF MANMADE LANDSCAPE STRUCTURES IN DIGITAL TERRAIN MODELS, pages 87–94

Knöttner, J.

• RULE-BASED MAPPING OF PARKED VEHICLES USING AERIAL IMAGE SEQUENCES, pages 95–101

Koch, T.

• MONOCULAR-DEPTH ASSISTED SEMI-GLOBAL MATCHING, pages 55–62

Kurz, F.

• RULE-BASED MAPPING OF PARKED VEHICLES USING AERIAL IMAGE SEQUENCES, pages 95–101

Körner, M.

• DEEP RESIDUAL LEARNING FOR SINGLE-IMAGE SUPER-RESOLUTION OF MULTI-SPECTRAL SATELLITE IMAGERY, pages 189–196

L

Laupheimer, D.

• SEMANTIC URBAN MESH ENHANCEMENT UTILIZING A HYBRID MODEL, pages 175–182

Li, C. R.

• ANALYSIS OF INFLUENCING FACTORS OF CURVE MATCHING BASED GEOMETRIC CALIBRATION FOR ZY3-02 ALTIMETER DATA, pages 221–226
• AUTOMATIC EXTRACTION OF POWER LINES FROM UAV LIDAR POINT CLOUDS USING A NOVEL SPATIAL FEATURE, pages 227–234

Li, K. Y.

• AUTOMATIC EXTRACTION OF POWER LINES FROM UAV LIDAR POINT CLOUDS USING A NOVEL SPATIAL FEATURE, pages 227–234

Li, W.

• AUTOMATIC EXTRACTION OF POWER LINES FROM UAV LIDAR POINT CLOUDS USING A NOVEL SPATIAL FEATURE, pages 227–234

Lichti, D.

• MODELLING WIDE-ANGLE LENS CAMERAS FOR METROLOGY AND MAPPING APPLICATIONS, pages 79–86

Liebel, L.

• DEEP RESIDUAL LEARNING FOR SINGLE-IMAGE SUPER-RESOLUTION OF MULTI-SPECTRAL SATELLITE IMAGERY, pages 189–196

Liu, X.

• DEVELOPMENT OF A HIGH-SPEED VIDEOGRAMMETRIC MEASUREMENT SYSTEM WITH APPLICATION IN LARGE-SCALE SHAKING TABLE TEST, pages 33–38

Lucks, L.

• DRAW AND ORDER – MODELESS INTERACTIVE ACQUISITION OF OUTLINES, pages 103–110

M

Ma, L.

• AUTOMATIC EXTRACTION OF POWER LINES FROM UAV LIDAR POINT CLOUDS USING A NOVEL SPATIAL FEATURE, pages 227–234

Maul, T.

• DATA AUGMENTATION APPROACHES FOR SATELLITE IMAGE SUPER-RESOLUTION, pages 47–54

McKinstry, A.

• DATA AUGMENTATION APPROACHES FOR SATELLITE IMAGE SUPER-RESOLUTION, pages 47–54

Meidow, J.

• DRAW AND ORDER – MODELESS INTERACTIVE ACQUISITION OF OUTLINES, pages 103–110

Mota, G. L. A.

• A COMPARISON BETWEEN THE HADOOP AND SPARK DISTRIBUTED FRAMEWORKS IN THE CONTEXT OF REGION-GROWING SEGMENTATION OF REMOTE SENSING IMAGES, pages 3–8

Mueller, M. S.

• IMAGE-TO-IMAGE TRANSLATION FOR ENHANCED FEATURE MATCHING, IMAGE RETRIEVAL AND VISUAL LOCALIZATION, pages 111–119

O

Ortega, M. X.

• EVALUATION OF DEEP LEARNING TECHNIQUES FOR DEFORESTATION DETECTION IN THE AMAZON FOREST, pages 121–128

P

Palm, S.

• ULTRA-HIGH RESOLUTION IMAGING OF FACADES AND VERTICAL INFRASTRUCTURE BY CARBORNE SAR AND AIRBORNE CSAR, pages 129–136

Penk, D.

• DETERMINATION OF DETAILED MORPHOLOGICAL FEATURES FOR PHENOTYPING OF SUGAR BEET PLANTS USING 3D-STEREOSCOPIC DATA, pages 161–166

Pieger, K.

• DETERMINATION OF DETAILED MORPHOLOGICAL FEATURES FOR PHENOTYPING OF SUGAR BEET PLANTS USING 3D-STEREOSCOPIC DATA, pages 161–166

Pollefeys, M.

• IMAGE-TO-IMAGE TRANSLATION FOR ENHANCED FEATURE MATCHING, IMAGE RETRIEVAL AND VISUAL LOCALIZATION, pages 111–119

Pollok, T.

• EFFICIENT SURFACE-AWARE SEMI-GLOBAL MATCHING WITH MULTI-VIEW PLANE-SWEEP SAMPLING, pages 137–144

Q

Qiu, C.

• AGGREGATING CLOUD-FREE SENTINEL-2 IMAGES WITH GOOGLE EARTH ENGINE, pages 145–152
• SEN12MS – A CURATED DATASET OF GEOREFERENCED MULTI-SPECTRAL SENTINEL-1/2 IMAGERY FOR DEEP LEARNING AND DATA FUSION, pages 153–160

R

Radovanovic, R.

• MODELLING WIDE-ANGLE LENS CAMERAS FOR METROLOGY AND MAPPING APPLICATIONS, pages 79–86

Reinartz, P.

• RULE-BASED MAPPING OF PARKED VEHICLES USING AERIAL IMAGE SEQUENCES, pages 95–101
• TREE DROUGHT STRESS DETECTION BASED ON 3D MODELLING, pages 205–210

Rosenbaum, D.

• RULE-BASED MAPPING OF PARKED VEHICLES USING AERIAL IMAGE SEQUENCES, pages 95–101

Rottensteiner, F.

• ADVERSARIAL DOMAIN ADAPTATION FOR THE CLASSIFICATION OF AERIAL IMAGES AND HEIGHT DATA USING CONVOLUTIONAL NEURAL NETWORKS, pages 197–204

Ruf, B.

• EFFICIENT SURFACE-AWARE SEMI-GLOBAL MATCHING WITH MULTI-VIEW PLANE-SWEEP SAMPLING, pages 137–144

S

Santos, J. M. F.

• A COMPARISON BETWEEN THE HADOOP AND SPARK DISTRIBUTED FRAMEWORKS IN THE CONTEXT OF REGION-GROWING SEGMENTATION OF REMOTE SENSING IMAGES, pages 3–8

Sattler, T.

• IMAGE-TO-IMAGE TRANSLATION FOR ENHANCED FEATURE MATCHING, IMAGE RETRIEVAL AND VISUAL LOCALIZATION, pages 111–119

Schmitt, M.

• A SEMI-SUPERVISED APPROACH TO SAR-OPTICAL IMAGE MATCHING, pages 71–78
• AGGREGATING CLOUD-FREE SENTINEL-2 IMAGES WITH GOOGLE EARTH ENGINE, pages 145–152
• SEN12MS – A CURATED DATASET OF GEOREFERENCED MULTI-SPECTRAL SENTINEL-1/2 IMAGERY FOR DEEP LEARNING AND DATA FUSION, pages 153–160

Scholz, O.

• DETERMINATION OF DETAILED MORPHOLOGICAL FEATURES FOR PHENOTYPING OF SUGAR BEET PLANTS USING 3D-STEREOSCOPIC DATA, pages 161–166

Sester, M.

• SEMANTIC SEGMENTATION OF MANMADE LANDSCAPE STRUCTURES IN DIGITAL TERRAIN MODELS, pages 87–94

Shahbazi, M.

• MODELLING WIDE-ANGLE LENS CAMERAS FOR METROLOGY AND MAPPING APPLICATIONS, pages 79–86

Sommer, R.

• ULTRA-HIGH RESOLUTION IMAGING OF FACADES AND VERTICAL INFRASTRUCTURE BY CARBORNE SAR AND AIRBORNE CSAR, pages 129–136

Soto, P. J.

• A COMPARATIVE ANALYSIS OF UNSUPERVISED AND SEMI-SUPERVISED REPRESENTATION LEARNING FOR REMOTE SENSING IMAGE CATEGORIZATION, pages 167–173

Stilla, U.

• PIA19+MRSS19 – PHOTOGRAMMETRIC IMAGE ANALYSIS 2019 & MUNICH REMOTE SENSING SYMPOSIUM 2019: PREFACE, pages 1–2
• SEMANTIC CHANGE DETECTION OF RIVER GROUND POINTS IN AIRBORNE LIDAR BATHYMETRY DATA USING VOXEL OCCUPANCIES, pages 9–15
• USING NEURAL NETWORKS TO DETECT OBJECTS IN MLS POINT CLOUDS BASED ON LOCAL POINT NEIGHBORHOODS, pages 17–24
• A REPRESENTATION OF MLS DATA AS A BASIS FOR TERRAIN NAVIGABILITY ANALYSIS AND SENSOR DEPLOYMENT PLANNING, pages 39–46
• MONOCULAR-DEPTH ASSISTED SEMI-GLOBAL MATCHING, pages 55–62
• SEMANTIC LABELING AND REFINEMENT OF LIDAR POINT CLOUDS USING DEEP NEURAL NETWORK IN URBAN AREAS, pages 63–70
• ULTRA-HIGH RESOLUTION IMAGING OF FACADES AND VERTICAL INFRASTRUCTURE BY CARBORNE SAR AND AIRBORNE CSAR, pages 129–136
• USING COHERENT SCATTERERS IN TIME SERIES OF HIGH RESOLUTION SAR IMAGES FOR THE MONITORING OF CONSTRUCTION ACTIVITY, pages 183–187
• CONTOUR EXTRACTION OF PLANAR ELEMENTS OF BUILDING FACADES FROM POINT CLOUDS USING GLOBAL GRAPH-BASED CLUSTERING, pages 211–219
• DIRECT CO-REGISTRATION OF TIR IMAGES AND MLS POINT CLOUDS BY CORRESPONDING KEYPOINTS, pages 235–242

T

Teng, G. E.

• ANALYSIS OF INFLUENCING FACTORS OF CURVE MATCHING BASED GEOMETRIC CALIBRATION FOR ZY3-02 ALTIMETER DATA, pages 221–226
• AUTOMATIC EXTRACTION OF POWER LINES FROM UAV LIDAR POINT CLOUDS USING A NOVEL SPATIAL FEATURE, pages 227–234

Tessmann, A.

• ULTRA-HIGH RESOLUTION IMAGING OF FACADES AND VERTICAL INFRASTRUCTURE BY CARBORNE SAR AND AIRBORNE CSAR, pages 129–136

Thiemann, F.

• SEMANTIC SEGMENTATION OF MANMADE LANDSCAPE STRUCTURES IN DIGITAL TERRAIN MODELS, pages 87–94

Tian, J.

• TREE DROUGHT STRESS DETECTION BASED ON 3D MODELLING, pages 205–210

Tong, X.

• DEVELOPMENT OF A HIGH-SPEED VIDEOGRAMMETRIC MEASUREMENT SYSTEM WITH APPLICATION IN LARGE-SCALE SHAKING TABLE TEST, pages 33–38

Tutzauer, P.

• SEMANTIC URBAN MESH ENHANCEMENT UTILIZING A HYBRID MODEL, pages 175–182

U

Uhrmann, F.

• DETERMINATION OF DETAILED MORPHOLOGICAL FEATURES FOR PHENOTYPING OF SUGAR BEET PLANTS USING 3D-STEREOSCOPIC DATA, pages 161–166

V

Villamil Lopez, C.

• USING COHERENT SCATTERERS IN TIME SERIES OF HIGH RESOLUTION SAR IMAGES FOR THE MONITORING OF CONSTRUCTION ACTIVITY, pages 183–187

Vu, T. T.

• DATA AUGMENTATION APPROACHES FOR SATELLITE IMAGE SUPER-RESOLUTION, pages 47–54

W

Wagner, L.

• DEEP RESIDUAL LEARNING FOR SINGLE-IMAGE SUPER-RESOLUTION OF MULTI-SPECTRAL SATELLITE IMAGERY, pages 189–196

Wang, J. H.

• ANALYSIS OF INFLUENCING FACTORS OF CURVE MATCHING BASED GEOMETRIC CALIBRATION FOR ZY3-02 ALTIMETER DATA, pages 221–226
• AUTOMATIC EXTRACTION OF POWER LINES FROM UAV LIDAR POINT CLOUDS USING A NOVEL SPATIAL FEATURE, pages 227–234

Wei, C.

• DEVELOPMENT OF A HIGH-SPEED VIDEOGRAMMETRIC MEASUREMENT SYSTEM WITH APPLICATION IN LARGE-SCALE SHAKING TABLE TEST, pages 33–38

Weinmann, M.

• EFFICIENT SURFACE-AWARE SEMI-GLOBAL MATCHING WITH MULTI-VIEW PLANE-SWEEP SAMPLING, pages 137–144

Wittich, D.

• ADVERSARIAL DOMAIN ADAPTATION FOR THE CLASSIFICATION OF AERIAL IMAGES AND HEIGHT DATA USING CONVOLUTIONAL NEURAL NETWORKS, pages 197–204

Wolff, A.

• DETERMINATION OF DETAILED MORPHOLOGICAL FEATURES FOR PHENOTYPING OF SUGAR BEET PLANTS USING 3D-STEREOSCOPIC DATA, pages 161–166

Wu, H. H.

• AUTOMATIC EXTRACTION OF POWER LINES FROM UAV LIDAR POINT CLOUDS USING A NOVEL SPATIAL FEATURE, pages 227–234

X

Xia, Y.

• TREE DROUGHT STRESS DETECTION BASED ON 3D MODELLING, pages 205–210

Xu, Y.

• SEMANTIC LABELING AND REFINEMENT OF LIDAR POINT CLOUDS USING DEEP NEURAL NETWORK IN URBAN AREAS, pages 63–70
• CONTOUR EXTRACTION OF PLANAR ELEMENTS OF BUILDING FACADES FROM POINT CLOUDS USING GLOBAL GRAPH-BASED CLUSTERING, pages 211–219
• DIRECT CO-REGISTRATION OF TIR IMAGES AND MLS POINT CLOUDS BY CORRESPONDING KEYPOINTS, pages 235–242

Y

Yao, Q. Q.

• ANALYSIS OF INFLUENCING FACTORS OF CURVE MATCHING BASED GEOMETRIC CALIBRATION FOR ZY3-02 ALTIMETER DATA, pages 221–226

Ye, Z.

• DEVELOPMENT OF A HIGH-SPEED VIDEOGRAMMETRIC MEASUREMENT SYSTEM WITH APPLICATION IN LARGE-SCALE SHAKING TABLE TEST, pages 33–38
• SEMANTIC LABELING AND REFINEMENT OF LIDAR POINT CLOUDS USING DEEP NEURAL NETWORK IN URBAN AREAS, pages 63–70

Z

Zhang, H. J.

• AUTOMATIC EXTRACTION OF POWER LINES FROM UAV LIDAR POINT CLOUDS USING A NOVEL SPATIAL FEATURE, pages 227–234

Zhou, M.

• ANALYSIS OF INFLUENCING FACTORS OF CURVE MATCHING BASED GEOMETRIC CALIBRATION FOR ZY3-02 ALTIMETER DATA, pages 221–226
• AUTOMATIC EXTRACTION OF POWER LINES FROM UAV LIDAR POINT CLOUDS USING A NOVEL SPATIAL FEATURE, pages 227–234

Zhu, J.

• DIRECT CO-REGISTRATION OF TIR IMAGES AND MLS POINT CLOUDS BY CORRESPONDING KEYPOINTS, pages 235–242

Zhu, X. X.

• AGGREGATING CLOUD-FREE SENTINEL-2 IMAGES WITH GOOGLE EARTH ENGINE, pages 145–152
• SEN12MS – A CURATED DATASET OF GEOREFERENCED MULTI-SPECTRAL SENTINEL-1/2 IMAGERY FOR DEEP LEARNING AND DATA FUSION, pages 153–160