A

Aghayari, S.

• GEOMETRIC CALIBRATION OF FULL SPHERICAL PANORAMIC RICOH-THETA CAMERA, pages 237–245

Akbari, B.

• EVALUATING THREE INSAR TIME-SERIES METHODS TO ASSESS CREEP MOTION, CASE STUDY: MASOULEH LANDSLIDE IN NORTH IRAN, pages 223–228

Arens, M.

• AN APPROACH TO EXTRACT MOVING OBJECTS FROM MLS DATA USING A VOLUMETRIC BACKGROUND REPRESENTATION, pages 107–114

Armenakis, C.

• MATCHING REAL AND SYNTHETIC PANORAMIC IMAGES USING A VARIANT OF GEOMETRIC HASHING, pages 199–206

Auer, S.

• SIMULATION-BASED EVALUATION OF LIGHT POSTS AND STREET SIGNS AS 3-D GEOLOCATION TARGETS IN SAR IMAGES, pages 11–18

Aujol, J.-F.

• DISOCCLUSION OF 3D LIDAR POINT CLOUDS USING RANGE IMAGES, pages 75–82

B

Balss, U.

• SIMULATION-BASED EVALUATION OF LIGHT POSTS AND STREET SIGNS AS 3-D GEOLOCATION TARGETS IN SAR IMAGES, pages 11–18

Beaumont, B.

• EXPOSURE AND VULNERABILITY GEOSPATIAL ANALYSIS USING EARTH OBSERVATION DATA IN THE CITY OF LIEGE, BELGIUM, pages 149–156

Becker, C.

• CLASSIFICATION OF AERIAL PHOTOGRAMMETRIC 3D POINT CLOUDS, pages 3–10

Biasutti, P.

• DISOCCLUSION OF 3D LIDAR POINT CLOUDS USING RANGE IMAGES, pages 75–82

Blaser, S.

• SYSTEM DESIGN, CALIBRATION AND PERFORMANCE ANALYSIS OF A NOVEL 360° STEREO PANORAMIC MOBILE MAPPING SYSTEM, pages 207–213

Brenner, C.

• EXTRACTING LANE GEOMETRY AND TOPOLOGY INFORMATION FROM VEHICLE FLEET TRAJECTORIES IN COMPLEX URBAN SCENARIOS USING A REVERSIBLE JUMP MCMC METHOD, pages 51–58

Brédif, M.

• DISOCCLUSION OF 3D LIDAR POINT CLOUDS USING RANGE IMAGES, pages 75–82

Bugeau, A.

• DISOCCLUSION OF 3D LIDAR POINT CLOUDS USING RANGE IMAGES, pages 75–82

Bulatov, D.

• CHAIN-WISE GENERALIZATION OF ROAD NETWORKS USING MODEL SELECTION, pages 59–66

Le Bris, A.

• SEMANTIC SEGMENTATION OF FOREST STANDS OF PURE SPECIES AS A GLOBAL OPTIMIZATION PROBLEM, pages 141–148
• INVESTIGATING THE POTENTIAL OF DEEP NEURAL NETWORKS FOR LARGE-SCALE CLASSIFICATION OF VERY HIGH RESOLUTION SATELLITE IMAGES, pages 183–190

C

Cavegn, S.

• SYSTEM DESIGN, CALIBRATION AND PERFORMANCE ANALYSIS OF A NOVEL 360° STEREO PANORAMIC MOBILE MAPPING SYSTEM, pages 207–213

Colomina, I.

• Preface, pages 1–2

D

Dechesne, C.

• SEMANTIC SEGMENTATION OF FOREST STANDS OF PURE SPECIES AS A GLOBAL OPTIMIZATION PROBLEM, pages 141–148

Drees, L.

• ARCHETYPAL ANALYSIS FOR SPARSE REPRESENTATION-BASED HYPERSPECTRAL SUB-PIXEL QUANTIFICATION, pages 133–139

d’Angelo, E.

• CLASSIFICATION OF AERIAL PHOTOGRAMMETRIC 3D POINT CLOUDS, pages 3–10

F

Förstner, W.

• UTILIZING THE UNCERTAINTY OF POLYHEDRA FOR THE RECONSTRUCTION OF BUILDINGS, pages 67–74

G

Gehrung, J.

• AN APPROACH TO EXTRACT MOVING OBJECTS FROM MLS DATA USING A VOLUMETRIC BACKGROUND REPRESENTATION, pages 107–114

Gibbs, R.

• LANDSAT BIG DATA ANALYSIS FOR DETECTING LONG-TERM WATER QUALITY CHANGES: A CASE STUDY IN THE HAN RIVER, SOUTH KOREA, pages 83–89

Gouet-Brunet, V.

• SEMANTIC SEGMENTATION OF FOREST STANDS OF PURE SPECIES AS A GLOBAL OPTIMIZATION PROBLEM, pages 141–148

H

Hackel, T.

• SEMANTIC3D.NET: A NEW LARGE-SCALE POINT CLOUD CLASSIFICATION BENCHMARK, pages 91–98

Hallot, E.

• EXPOSURE AND VULNERABILITY GEOSPATIAL ANALYSIS USING EARTH OBSERVATION DATA IN THE CITY OF LIEGE, BELGIUM, pages 149–156

Hebel, M.

• AN APPROACH TO EXTRACT MOVING OBJECTS FROM MLS DATA USING A VOLUMETRIC BACKGROUND REPRESENTATION, pages 107–114

Heipke, C.

• Preface, pages 1–2
• AN EFFICIENT METHOD TO DETECT MUTUAL OVERLAP OF A LARGE SET OF UNORDERED IMAGES FOR STRUCTURE-FROM-MOTION, pages 191–198
• CLASSIFICATION UNDER LABEL NOISE BASED ON OUTDATED MAPS, pages 215–222
• BOOSTED UNSUPERVISED MULTI-SOURCE SELECTION FOR DOMAIN ADAPTATION, pages 229–236

Hoegner, L.

• VOXEL- AND GRAPH-BASED POINT CLOUD SEGMENTATION OF 3D SCENES USING PERCEPTUAL GROUPING LAWS, pages 43–50

Huang, H.

• FACADE SEGMENTATION WITH A STRUCTURED RANDOM FOREST, pages 175–181

Hwang, C. S.

• LANDSAT BIG DATA ANALYSIS FOR DETECTING LONG-TERM WATER QUALITY CHANGES: A CASE STUDY IN THE HAN RIVER, SOUTH KOREA, pages 83–89

Häni, N.

• CLASSIFICATION OF AERIAL PHOTOGRAMMETRIC 3D POINT CLOUDS, pages 3–10

Häufel, G.

• CHAIN-WISE GENERALIZATION OF ROAD NETWORKS USING MODEL SELECTION, pages 59–66

J

Jacobsen, K.

• Preface, pages 1–2

Jeong, J. J.

• LANDSAT BIG DATA ANALYSIS FOR DETECTING LONG-TERM WATER QUALITY CHANGES: A CASE STUDY IN THE HAN RIVER, SOUTH KOREA, pages 83–89

Jutzi, B.

• INVESTIGATIONS ON THE POTENTIAL OF CONVOLUTIONAL NEURAL NETWORKS FOR VEHICLE CLASSIFICATION BASED ON RGB AND LIDAR DATA, pages 115–123
• GEOMETRIC FEATURES AND THEIR RELEVANCE FOR 3D POINT CLOUD CLASSIFICATION, pages 157–164

L

Ladicky, L.

• SEMANTIC3D.NET: A NEW LARGE-SCALE POINT CLOUD CLASSIFICATION BENCHMARK, pages 91–98

Lauwaet, D.

• EXPOSURE AND VULNERABILITY GEOSPATIAL ANALYSIS USING EARTH OBSERVATION DATA IN THE CITY OF LIEGE, BELGIUM, pages 149–156

Lefebre, F.

• EXPOSURE AND VULNERABILITY GEOSPATIAL ANALYSIS USING EARTH OBSERVATION DATA IN THE CITY OF LIEGE, BELGIUM, pages 149–156

Lenartz, F.

• EXPOSURE AND VULNERABILITY GEOSPATIAL ANALYSIS USING EARTH OBSERVATION DATA IN THE CITY OF LIEGE, BELGIUM, pages 149–156

Li-Chee-Ming, J.

• MATCHING REAL AND SYNTHETIC PANORAMIC IMAGES USING A VARIANT OF GEOMETRIC HASHING, pages 199–206

Lia, S.

• VISUAL TRACKING UTILIZING OBJECT CONCEPT FROM DEEP LEARNING NETWORK, pages 125–132

Liao, W.

• SECURITY EVENT RECOGNITION FOR VISUAL SURVEILLANCE, pages 19–26

M

Maas, A.

• CLASSIFICATION UNDER LABEL NOISE BASED ON OUTDATED MAPS, pages 215–222

Mallet, C.

• SEMANTIC SEGMENTATION OF FOREST STANDS OF PURE SPECIES AS A GLOBAL OPTIMIZATION PROBLEM, pages 141–148
• GEOMETRIC FEATURES AND THEIR RELEVANCE FOR 3D POINT CLOUD CLASSIFICATION, pages 157–164
• INVESTIGATING THE POTENTIAL OF DEEP NEURAL NETWORKS FOR LARGE-SCALE CLASSIFICATION OF VERY HIGH RESOLUTION SATELLITE IMAGES, pages 183–190

Mayer, H.

• FACADE SEGMENTATION WITH A STRUCTURED RANDOM FOREST, pages 175–181

Mehdi, M. R.

• LANDSAT BIG DATA ANALYSIS FOR DETECTING LONG-TERM WATER QUALITY CHANGES: A CASE STUDY IN THE HAN RIVER, SOUTH KOREA, pages 83–89

Meidow, J.

• CHAIN-WISE GENERALIZATION OF ROAD NETWORKS USING MODEL SELECTION, pages 59–66
• UTILIZING THE UNCERTAINTY OF POLYHEDRA FOR THE RECONSTRUCTION OF BUILDINGS, pages 67–74

Middelmann, W.

• IMPROVING ACTIVE QUERIES WITH A LOCAL SEGMENTATION STEP AND APPLICATION TO LAND COVER CLASSIFICATION, pages 165–173

Mirzaee, S.

• EVALUATING THREE INSAR TIME-SERIES METHODS TO ASSESS CREEP MOTION, CASE STUDY: MASOULEH LANDSLIDE IN NORTH IRAN, pages 223–228

Motagh, M.

• EVALUATING THREE INSAR TIME-SERIES METHODS TO ASSESS CREEP MOTION, CASE STUDY: MASOULEH LANDSLIDE IN NORTH IRAN, pages 223–228

N

Nebiker, S.

• SYSTEM DESIGN, CALIBRATION AND PERFORMANCE ANALYSIS OF A NOVEL 360° STEREO PANORAMIC MOBILE MAPPING SYSTEM, pages 207–213

Neumann, I.

• GEOMETRIC CALIBRATION OF FULL SPHERICAL PANORAMIC RICOH-THETA CAMERA, pages 237–245

Niessner, R.

• INVESTIGATIONS ON THE POTENTIAL OF CONVOLUTIONAL NEURAL NETWORKS FOR VEHICLE CLASSIFICATION BASED ON RGB AND LIDAR DATA, pages 115–123

O

Oh, C.

• LANDSAT BIG DATA ANALYSIS FOR DETECTING LONG-TERM WATER QUALITY CHANGES: A CASE STUDY IN THE HAN RIVER, SOUTH KOREA, pages 83–89

Ok, A. O.

• DETECTION OF CITRUS TREES FROM UAV DSMS, pages 27–34

Omidalizarandi, M.

• GEOMETRIC CALIBRATION OF FULL SPHERICAL PANORAMIC RICOH-THETA CAMERA, pages 237–245

Ostermann, J.

• BOOSTED UNSUPERVISED MULTI-SOURCE SELECTION FOR DOMAIN ADAPTATION, pages 229–236

Ozdarici-Ok, A.

• DETECTION OF CITRUS TREES FROM UAV DSMS, pages 27–34

P

Pang, Y.

• Monitoring of Building Construction by 4D Change Detection Using Multi-temporal SAR Images, pages 35–42

Paul, A.

• BOOSTED UNSUPERVISED MULTI-SOURCE SELECTION FOR DOMAIN ADAPTATION, pages 229–236

Poelmans, L.

• EXPOSURE AND VULNERABILITY GEOSPATIAL ANALYSIS USING EARTH OBSERVATION DATA IN THE CITY OF LIEGE, BELGIUM, pages 149–156

Pollefeys, M.

• SEMANTIC3D.NET: A NEW LARGE-SCALE POINT CLOUD CLASSIFICATION BENCHMARK, pages 91–98

Postadjian, T.

• INVESTIGATING THE POTENTIAL OF DEEP NEURAL NETWORKS FOR LARGE-SCALE CLASSIFICATION OF VERY HIGH RESOLUTION SATELLITE IMAGES, pages 183–190

R

Rahmani, K.

• FACADE SEGMENTATION WITH A STRUCTURED RANDOM FOREST, pages 175–181

Roessner, S.

• EVALUATING THREE INSAR TIME-SERIES METHODS TO ASSESS CREEP MOTION, CASE STUDY: MASOULEH LANDSLIDE IN NORTH IRAN, pages 223–228

Roeth, O.

• EXTRACTING LANE GEOMETRY AND TOPOLOGY INFORMATION FROM VEHICLE FLEET TRAJECTORIES IN COMPLEX URBAN SCENARIOS USING A REVERSIBLE JUMP MCMC METHOD, pages 51–58

Roh, K.

• LANDSAT BIG DATA ANALYSIS FOR DETECTING LONG-TERM WATER QUALITY CHANGES: A CASE STUDY IN THE HAN RIVER, SOUTH KOREA, pages 83–89

Roscher, R.

• ARCHETYPAL ANALYSIS FOR SPARSE REPRESENTATION-BASED HYPERSPECTRAL SUB-PIXEL QUANTIFICATION, pages 133–139

Rosenhahn, B.

• SECURITY EVENT RECOGNITION FOR VISUAL SURVEILLANCE, pages 19–26

Rosinskaya, E.

• CLASSIFICATION OF AERIAL PHOTOGRAMMETRIC 3D POINT CLOUDS, pages 3–10

Rottensteiner, F.

• Preface, pages 1–2
• CLASSIFICATION UNDER LABEL NOISE BASED ON OUTDATED MAPS, pages 215–222
• BOOSTED UNSUPERVISED MULTI-SOURCE SELECTION FOR DOMAIN ADAPTATION, pages 229–236

S

Saadatseresht, M.

• GEOMETRIC CALIBRATION OF FULL SPHERICAL PANORAMIC RICOH-THETA CAMERA, pages 237–245

Sahbi, H.

• INVESTIGATING THE POTENTIAL OF DEEP NEURAL NETWORKS FOR LARGE-SCALE CLASSIFICATION OF VERY HIGH RESOLUTION SATELLITE IMAGES, pages 183–190

Savinov, N.

• SEMANTIC3D.NET: A NEW LARGE-SCALE POINT CLOUD CLASSIFICATION BENCHMARK, pages 91–98

Schilling, H.

• INVESTIGATIONS ON THE POTENTIAL OF CONVOLUTIONAL NEURAL NETWORKS FOR VEHICLE CLASSIFICATION BASED ON RGB AND LIDAR DATA, pages 115–123

Schindler, K.

• SEMANTIC3D.NET: A NEW LARGE-SCALE POINT CLOUD CLASSIFICATION BENCHMARK, pages 91–98

Seong, J. C.

• LANDSAT BIG DATA ANALYSIS FOR DETECTING LONG-TERM WATER QUALITY CHANGES: A CASE STUDY IN THE HAN RIVER, SOUTH KOREA, pages 83–89

Skaloud, J.

• Preface, pages 1–2

Soergel, U.

• Monitoring of Building Construction by 4D Change Detection Using Multi-temporal SAR Images, pages 35–42

Stephenne, N.

• EXPOSURE AND VULNERABILITY GEOSPATIAL ANALYSIS USING EARTH OBSERVATION DATA IN THE CITY OF LIEGE, BELGIUM, pages 149–156

Stilla, U.

• Preface, pages 1–2
• VOXEL- AND GRAPH-BASED POINT CLOUD SEGMENTATION OF 3D SCENES USING PERCEPTUAL GROUPING LAWS, pages 43–50
• AN APPROACH TO EXTRACT MOVING OBJECTS FROM MLS DATA USING A VOLUMETRIC BACKGROUND REPRESENTATION, pages 107–114
• IMPROVING ACTIVE QUERIES WITH A LOCAL SEGMENTATION STEP AND APPLICATION TO LAND COVER CLASSIFICATION, pages 165–173

Strecha, C.

• CLASSIFICATION OF AERIAL PHOTOGRAMMETRIC 3D POINT CLOUDS, pages 3–10

T

Tuttas, S.

• VOXEL- AND GRAPH-BASED POINT CLOUD SEGMENTATION OF 3D SCENES USING PERCEPTUAL GROUPING LAWS, pages 43–50

V

Voges, R.

• TIMESTAMP OFFSET DETERMINATION BETWEEN AN ACTUATED LASER SCANNER AND ITS CORRESPONDING MOTOR, pages 99–106

Vogt, K.

• BOOSTED UNSUPERVISED MULTI-SOURCE SELECTION FOR DOMAIN ADAPTATION, pages 229–236

W

Wagner, B.

• TIMESTAMP OFFSET DETERMINATION BETWEEN AN ACTUATED LASER SCANNER AND ITS CORRESPONDING MOTOR, pages 99–106

Wang, X.

• AN EFFICIENT METHOD TO DETECT MUTUAL OVERLAP OF A LARGE SET OF UNORDERED IMAGES FOR STRUCTURE-FROM-MOTION, pages 191–198

Wegner, J. D.

• SEMANTIC3D.NET: A NEW LARGE-SCALE POINT CLOUD CLASSIFICATION BENCHMARK, pages 91–98

Weinmann, M.

• GEOMETRIC FEATURES AND THEIR RELEVANCE FOR 3D POINT CLOUD CLASSIFICATION, pages 157–164
• GEOMETRIC FEATURES AND THEIR RELEVANCE FOR 3D POINT CLOUD CLASSIFICATION, pages 157–164

Wenzel, S.

• CHAIN-WISE GENERALIZATION OF ROAD NETWORKS USING MODEL SELECTION, pages 59–66

Wetzel, H. U.

• EVALUATING THREE INSAR TIME-SERIES METHODS TO ASSESS CREEP MOTION, CASE STUDY: MASOULEH LANDSLIDE IN NORTH IRAN, pages 223–228

Wieghardt, C. S.

• TIMESTAMP OFFSET DETERMINATION BETWEEN AN ACTUATED LASER SCANNER AND ITS CORRESPONDING MOTOR, pages 99–106

Wolff, E.

• EXPOSURE AND VULNERABILITY GEOSPATIAL ANALYSIS USING EARTH OBSERVATION DATA IN THE CITY OF LIEGE, BELGIUM, pages 149–156

Wuttke, S.

• IMPROVING ACTIVE QUERIES WITH A LOCAL SEGMENTATION STEP AND APPLICATION TO LAND COVER CLASSIFICATION, pages 165–173

X

Xiao, C.

• VISUAL TRACKING UTILIZING OBJECT CONCEPT FROM DEEP LEARNING NETWORK, pages 125–132

Xu, Y.

• VOXEL- AND GRAPH-BASED POINT CLOUD SEGMENTATION OF 3D SCENES USING PERCEPTUAL GROUPING LAWS, pages 43–50

Y

Yang, C.

• SECURITY EVENT RECOGNITION FOR VISUAL SURVEILLANCE, pages 19–26

Yang, C. H.

• Monitoring of Building Construction by 4D Change Detection Using Multi-temporal SAR Images, pages 35–42

Yilmaz, A.

• Preface, pages 1–2
• VISUAL TRACKING UTILIZING OBJECT CONCEPT FROM DEEP LEARNING NETWORK, pages 125–132

Ying Yang, M.

• Preface, pages 1–2
• SECURITY EVENT RECOGNITION FOR VISUAL SURVEILLANCE, pages 19–26

Z

Zaum, D.

• EXTRACTING LANE GEOMETRY AND TOPOLOGY INFORMATION FROM VEHICLE FLEET TRAJECTORIES IN COMPLEX URBAN SCENARIOS USING A REVERSIBLE JUMP MCMC METHOD, pages 51–58

Zhan, Z. Q.

• AN EFFICIENT METHOD TO DETECT MUTUAL OVERLAP OF A LARGE SET OF UNORDERED IMAGES FOR STRUCTURE-FROM-MOTION, pages 191–198