A

Aigner, S.

• FUTUREGAN: ANTICIPATING THE FUTURE FRAMES OF VIDEO SEQUENCES USING SPATIO-TEMPORAL 3D CONVOLUTIONS IN PROGRESSIVELY GROWING GANS, pages 3–11

Al-Quraishi, A. M. F.

• CHARACTERIZATION AND MODELING SURFACE SOIL PHYSICOCHEMICAL PROPERTIES USING LANDSAT IMAGES: A CASE STUDY IN THE IRAQI KURDISTAN REGION, pages 21–28

Albrecht, C.

• A CONCEPT FOR AN AUTOMATED APPROACH OF PUBLIC TRANSPORT VEHICLES TO A BUS STOP, pages 13–20

Almengor, R.

• IMPROVEMENT OF EXISTING AND DEVELOPMENT OF FUTURE COPERNICUS LAND MONITORING PRODUCTS – THE ECOLASS PROJECT, pages 201–208

Almog, O.

• TOWARDS THE AUTOMATIC DETECTION OF GEOSPATIAL CHANGES BASED ON DIGITAL ELEVATION MODELS PRODUCED BY UAV IMAGERY, pages 47–53

Andrei, V.

• MACHINE LEARNING FOR SEA ICE MONITORING FROM SATELLITES, pages 83–89

Aranda, C.

• SUPER-RESOLUTION FOR SENTINEL-2 IMAGES, pages 95–102

Astor, T.

• THE BENEFIT OF SPECTRAL AND POINT-CLOUD DATA FOR HERBAGE YIELD AND QUALITY ASSESSMENT OF GRASSLANDS, pages 267–272

Ayala, C.

• SUPER-RESOLUTION FOR SENTINEL-2 IMAGES, pages 95–102

Ayma, V.

• MAPPING GLACIER CHANGES USING CLUSTERING TECHNIQUES ON CLOUD COMPUTING INFRASTRUCTURE, pages 29–34

B

Bakuła, K.

• CLASSIFICATION OF DATA FROM AIRBORNE LIDAR BATHYMETRY WITH RANDOM FOREST ALGORITHM BASED ON DIFFERENT FEATURE VECTORS, pages 143–148

Barnefske, E.

• PCCT: A POINT CLOUD CLASSIFICATION TOOL TO CREATE 3D TRAINING DATA TO ADJUST AND DEVELOP 3D CONVNET, pages 35–40

Barsi, A.

• ENVIRONMENTAL DATA DELIVERY FOR AUTOMOTIVE SIMULATIONS BY LASER SCANNING, pages 41–45

Bauman, T.

• TOWARDS THE AUTOMATIC DETECTION OF GEOSPATIAL CHANGES BASED ON DIGITAL ELEVATION MODELS PRODUCED BY UAV IMAGERY, pages 47–53

Beltrán, C.

• MAPPING GLACIER CHANGES USING CLUSTERING TECHNIQUES ON CLOUD COMPUTING INFRASTRUCTURE, pages 29–34

Berndt, F.

• IMPROVEMENT OF EXISTING AND DEVELOPMENT OF FUTURE COPERNICUS LAND MONITORING PRODUCTS – THE ECOLASS PROJECT, pages 201–208

Bock, H.

• ON THE FUSION OF CAMERA AND LIDAR FOR 3D OBJECT DETECTION AND CLASSIFICATION, pages 149–156

Brandenburger, W.

• SEMANTIC SEGMENTATION OF AIRBORNE IMAGES AND CORRESPONDING DIGITAL SURFACE MODELS – ADDITIONAL INPUT DATA OR ADDITIONAL TASK?, pages 195–200

Brandmeier, M.

• LITHOLOGICAL CLASSIFICATION USING MULTI-SENSOR DATA AND CONVOLUTIONAL NEURAL NETWORKS, pages 55–59

Bulatov, D.

• STATISTICAL ANALYSIS OF AIRBORNE IMAGERY COMBINED WITH GIS INFORMATION FOR TRAINING DATA GENERATION, pages 111–118

C

Carrilho, A. C.

• AUTOMATIC OBJECT EXTRACTION FROM HIGH RESOLUTION AERIAL IMAGERY WITH SIMPLE LINEAR ITERATIVE CLUSTERING AND CONVOLUTIONAL NEURAL NETWORKS, pages 61–66

Chen, C.

• A DEEP LEARNING APPROACH FOR URBAN UNDERGROUND OBJECTS DETECTION FROM VEHICLE-BORNE GROUND PENETRATING RADAR DATA IN REAL-TIME, pages 293–299

Chen, J. Y.

• A JOINT CALIBRATION METHOD OF 3D IMAGES ACQUIRED BY COMMON OPTICAL PATH PAYLOAD, pages 221–226

Chen, Y.

• LITHOLOGICAL CLASSIFICATION USING MULTI-SENSOR DATA AND CONVOLUTIONAL NEURAL NETWORKS, pages 55–59

Chiang, K. W.

• INS-AIDED 3D LIDAR SEAMLESS MAPPING IN CHALLENGING ENVIRONMENT FOR FUTURE HIGH DEFINITION MAP, pages 251–257

Clermont, D.

• SUPERVISED DETECTION OF BOMB CRATERS IN HISTORICAL AERIAL IMAGES USING CONVOLUTIONAL NEURAL NETWORKS, pages 67–74

Cong, R.

• SPATIOTEMPORAL ANALYSIS ON CO₂ EMISSIONS FROM HOUSEHOLDS IN JAPAN, pages 75–81

Contractor, S.

• REAL-TIME WILDFIRE DETECTION FROM SPACE – A TRADE-OFF BETWEEN SENSOR QUALITY, PHYSICAL LIMITATIONS AND PAYLOAD SIZE, pages 209–213

Costa, G. A. O. P.

• MAPPING GLACIER CHANGES USING CLUSTERING TECHNIQUES ON CLOUD COMPUTING INFRASTRUCTURE, pages 29–34

Csepinszky, A.

• ENVIRONMENTAL DATA DELIVERY FOR AUTOMOTIVE SIMULATIONS BY LASER SCANNING, pages 41–45

Cui, Z.

• VIDEO IMAGE TARGET RECOGNITION AND GEOLOCATION METHOD FOR UAV BASED ON LANDMARKS, pages 285–291

Le Caillec, J.-M.

• UNSUPERVISED AUTOMATIC BUILDING EXTRACTION USING ACTIVE CONTOUR MODEL ON UNREGISTERED OPTICAL IMAGERY AND AIRBORNE LIDAR DATA, pages 181–188

D

Dalyot, S.

• TOWARDS THE AUTOMATIC DETECTION OF GEOSPATIAL CHANGES BASED ON DIGITAL ELEVATION MODELS PRODUCED BY UAV IMAGERY, pages 47–53

Daniel, S.

• UNSUPERVISED AUTOMATIC BUILDING EXTRACTION USING ACTIVE CONTOUR MODEL ON UNREGISTERED OPTICAL IMAGERY AND AIRBORNE LIDAR DATA, pages 181–188

Datcu, M.

• MACHINE LEARNING FOR SEA ICE MONITORING FROM SATELLITES, pages 83–89

Dong, Z.

• A DEEP LEARNING APPROACH FOR URBAN UNDERGROUND OBJECTS DETECTION FROM VEHICLE-BORNE GROUND PENETRATING RADAR DATA IN REAL-TIME, pages 293–299

Duan, L.

• AUTOMATED CHAIN FOR LARGE-SCALE 3D RECONSTRUCTION OF URBAN SCENES FROM SATELLITE IMAGES, pages 243–250

Dumitru, C. O.

• MACHINE LEARNING FOR SEA ICE MONITORING FROM SATELLITES, pages 83–89

E

El-Sheimy, N.

• SEGMENTATION OF IMAGE PAIRS FOR 3D RECONSTRUCTION, pages 175–180
• INS-AIDED 3D LIDAR SEAMLESS MAPPING IN CHALLENGING ENVIRONMENT FOR FUTURE HIGH DEFINITION MAP, pages 251–257

Ernst, S.

• REAL-TIME WILDFIRE DETECTION FROM SPACE – A TRADE-OFF BETWEEN SENSOR QUALITY, PHYSICAL LIMITATIONS AND PAYLOAD SIZE, pages 209–213

Eslami, M.

• FUZZY LOGIC BASED BURNED SEVERITY CLASSIFICATION AND MAPPING WITH LANDSAT-8 DATA, pages 259–265

F

Fang, L.

• LAND USE CLASSIFICATION BASED ON MULTI-STRUCTURE CONVOLUTION NEURAL NETWORK FEATURES CASCADING, pages 163–167

Feitosa, R. Q.

• MAPPING GLACIER CHANGES USING CLUSTERING TECHNIQUES ON CLOUD COMPUTING INFRASTRUCTURE, pages 29–34

Fu, Q.

• BLOCK ADJUSTMENT OF LARGE-SCALE HIGH-RESOLUTION OPTICAL SATELLITE IMAGERY WITHOUT GCPS BASED ON THE GPU, pages 91–94

G

Galar, M.

• SUPER-RESOLUTION FOR SENTINEL-2 IMAGES, pages 95–102

Galo, M.

• AUTOMATIC OBJECT EXTRACTION FROM HIGH RESOLUTION AERIAL IMAGERY WITH SIMPLE LINEAR ITERATIVE CLUSTERING AND CONVOLUTIONAL NEURAL NETWORKS, pages 61–66

Ghomari, A.

• EVENTS RECOGNITION FOR A SEMI-AUTOMATIC ANNOTATION OF SOCCER VIDEOS: A STUDY BASED DEEP LEARNING, pages 135–141

Grübler, T.

• REAL-TIME WILDFIRE DETECTION FROM SPACE – A TRADE-OFF BETWEEN SENSOR QUALITY, PHYSICAL LIMITATIONS AND PAYLOAD SIZE, pages 209–213

Guériot, D.

• UNSUPERVISED AUTOMATIC BUILDING EXTRACTION USING ACTIVE CONTOUR MODEL ON UNREGISTERED OPTICAL IMAGERY AND AIRBORNE LIDAR DATA, pages 181–188

H

Hanel, A.

• SEMANTIC ROAD SCENE KNOWLEDGE FOR ROBUST SELF-CALIBRATION OF ENVIRONMENT-OBSERVING VEHICLE CAMERAS, pages 103–110

Happ, P. N.

• MAPPING GLACIER CHANGES USING CLUSTERING TECHNIQUES ON CLOUD COMPUTING INFRASTRUCTURE, pages 29–34

Heipke, C.

• SUPERVISED DETECTION OF BOMB CRATERS IN HISTORICAL AERIAL IMAGES USING CONVOLUTIONAL NEURAL NETWORKS, pages 67–74

Helmholz, P.

• STATISTICAL ANALYSIS OF AIRBORNE IMAGERY COMBINED WITH GIS INFORMATION FOR TRAINING DATA GENERATION, pages 111–118

Herrmann, D.

• IMPROVEMENT OF EXISTING AND DEVELOPMENT OF FUTURE COPERNICUS LAND MONITORING PRODUCTS – THE ECOLASS PROJECT, pages 201–208

Heurich, M.

• DEAD WOOD DETECTION BASED ON SEMANTIC SEGMENTATION OF VHR AERIAL CIR IMAGERY USING OPTIMIZED FCN-DENSENET, pages 127–133

Hillemann, M.

• IMPACT OF DIFFERENT TRAJECTORIES ON EXTRINSIC SELF-CALIBRATION FOR VEHICLE-BASED MOBILE LASER SCANNING SYSTEMS, pages 119–125

Hirata, R.

• SPATIOTEMPORAL ANALYSIS ON CO₂ EMISSIONS FROM HOUSEHOLDS IN JAPAN, pages 75–81

Hoegner, L.

• FUSION OF FEATURE BASED AND DEEP LEARNING METHODS FOR CLASSIFICATION OF MMS POINT CLOUDS, pages 235–242

Hu, J.

• A JOINT CALIBRATION METHOD OF 3D IMAGES ACQUIRED BY COMMON OPTICAL PATH PAYLOAD, pages 221–226

Huang, D.

• REMOTE SENSING SCENE CLASSIFICATION USING MULTIPLE PYRAMID POOLING, pages 279–284

Huang, R.

• A DEEP LEARNING APPROACH FOR URBAN UNDERGROUND OBJECTS DETECTION FROM VEHICLE-BORNE GROUND PENETRATING RADAR DATA IN REAL-TIME, pages 293–299

Häufel, G.

• STATISTICAL ANALYSIS OF AIRBORNE IMAGERY COMBINED WITH GIS INFORMATION FOR TRAINING DATA GENERATION, pages 111–118

I

Ito, A.

• SPATIOTEMPORAL ANALYSIS ON CO₂ EMISSIONS FROM HOUSEHOLDS IN JAPAN, pages 75–81

J

Jaeger, R.

• A MATHEMATICAL SENSOR MODEL FOR INDOOR USE OF A MULTI-BEAM ROTATING 3D LIDAR, pages 227–234

Jiang, S.

• DEAD WOOD DETECTION BASED ON SEMANTIC SEGMENTATION OF VHR AERIAL CIR IMAGERY USING OPTIMIZED FCN-DENSENET, pages 127–133

Jutzi, B.

• IMPACT OF DIFFERENT TRAJECTORIES ON EXTRINSIC SELF-CALIBRATION FOR VEHICLE-BASED MOBILE LASER SCANNING SYSTEMS, pages 119–125

K

Kazi Tani, L. F.

• EVENTS RECOGNITION FOR A SEMI-AUTOMATIC ANNOTATION OF SOCCER VIDEOS: A STUDY BASED DEEP LEARNING, pages 135–141

Kazi Tani, M. Y.

• EVENTS RECOGNITION FOR A SEMI-AUTOMATIC ANNOTATION OF SOCCER VIDEOS: A STUDY BASED DEEP LEARNING, pages 135–141

Kogut, T.

• CLASSIFICATION OF DATA FROM AIRBORNE LIDAR BATHYMETRY WITH RANDOM FOREST ALGORITHM BASED ON DIFFERENT FEATURE VECTORS, pages 143–148

Kozonek, N.

• ON THE FUSION OF CAMERA AND LIDAR FOR 3D OBJECT DETECTION AND CLASSIFICATION, pages 149–156

Kraus, S.

• A CONCEPT FOR AN AUTOMATED APPROACH OF PUBLIC TRANSPORT VEHICLES TO A BUS STOP, pages 13–20

Krausz, N.

• ENVIRONMENTAL DATA DELIVERY FOR AUTOMOTIVE SIMULATIONS BY LASER SCANNING, pages 41–45

Krempel, L.

• REAL-TIME WILDFIRE DETECTION FROM SPACE – A TRADE-OFF BETWEEN SENSOR QUALITY, PHYSICAL LIMITATIONS AND PAYLOAD SIZE, pages 209–213

Kruse, C.

• SUPERVISED DETECTION OF BOMB CRATERS IN HISTORICAL AERIAL IMAGES USING CONVOLUTIONAL NEURAL NETWORKS, pages 67–74

Körner, M.

• FUTUREGAN: ANTICIPATING THE FUTURE FRAMES OF VIDEO SEQUENCES USING SPATIO-TEMPORAL 3D CONVOLUTIONS IN PROGRESSIVELY GROWING GANS, pages 3–11

L

Lan, C.

• VIDEO IMAGE TARGET RECOGNITION AND GEOLOCATION METHOD FOR UAV BASED ON LANDMARKS, pages 285–291

Laurore, L.

• AUTOMATED CHAIN FOR LARGE-SCALE 3D RECONSTRUCTION OF URBAN SCENES FROM SATELLITE IMAGES, pages 243–250

Li, C. R.

• MAPPING SYSTEM AND PHOTOGRAMMETRIC PROCESSING METHOD FOR TETHERED BALLOON PLATFORM, pages 157–161

Li, J.

• A DEEP LEARNING APPROACH FOR URBAN UNDERGROUND OBJECTS DETECTION FROM VEHICLE-BORNE GROUND PENETRATING RADAR DATA IN REAL-TIME, pages 293–299

Li, J. M.

• MAPPING SYSTEM AND PHOTOGRAMMETRIC PROCESSING METHOD FOR TETHERED BALLOON PLATFORM, pages 157–161

Li, W.

• MAPPING SYSTEM AND PHOTOGRAMMETRIC PROCESSING METHOD FOR TETHERED BALLOON PLATFORM, pages 157–161
• A JOINT CALIBRATION METHOD OF 3D IMAGES ACQUIRED BY COMMON OPTICAL PATH PAYLOAD, pages 221–226

Li, Y.

• SEMANTIC SEGMENTATION OF WATER BODIES IN MULTI-SPECTRAL SATELLITE IMAGES FOR SITUATIONAL AWARENESS IN EMERGENCY RESPONSE, pages 273–277

Liu, S.

• BLOCK ADJUSTMENT OF LARGE-SCALE HIGH-RESOLUTION OPTICAL SATELLITE IMAGERY WITHOUT GCPS BASED ON THE GPU, pages 91–94

Liu, Y.

• LAND USE CLASSIFICATION BASED ON MULTI-STRUCTURE CONVOLUTION NEURAL NETWORK FEATURES CASCADING, pages 163–167

Liu, Y. K.

• MAPPING SYSTEM AND PHOTOGRAMMETRIC PROCESSING METHOD FOR TETHERED BALLOON PLATFORM, pages 157–161

M

Ma, L. L.

• MAPPING SYSTEM AND PHOTOGRAMMETRIC PROCESSING METHOD FOR TETHERED BALLOON PLATFORM, pages 157–161

Martinis, S.

• SEMANTIC SEGMENTATION OF WATER BODIES IN MULTI-SPECTRAL SATELLITE IMAGES FOR SITUATIONAL AWARENESS IN EMERGENCY RESPONSE, pages 273–277

Mauracher, F.

• REAL-TIME WILDFIRE DETECTION FROM SPACE – A TRADE-OFF BETWEEN SENSOR QUALITY, PHYSICAL LIMITATIONS AND PAYLOAD SIZE, pages 209–213

Mayer, H.

• SEMANTIC SEGMENTATION OF AIRBORNE IMAGES AND CORRESPONDING DIGITAL SURFACE MODELS – ADDITIONAL INPUT DATA OR ADDITIONAL TASK?, pages 195–200

Meidow, J.

• IMPACT OF DIFFERENT TRAJECTORIES ON EXTRINSIC SELF-CALIBRATION FOR VEHICLE-BASED MOBILE LASER SCANNING SYSTEMS, pages 119–125
• DESIGN OF ORIENTATION ASSESSMENT FUNCTIONS FOR GESTALT-GROUPING UTILIZING LABELED SAMPLE-DATA, pages 169–173

Men, J.

• LAND USE CLASSIFICATION BASED ON MULTI-STRUCTURE CONVOLUTION NEURAL NETWORK FEATURES CASCADING, pages 163–167

Messina, J. P.

• CHARACTERIZATION AND MODELING SURFACE SOIL PHYSICOCHEMICAL PROPERTIES USING LANDSAT IMAGES: A CASE STUDY IN THE IRAQI KURDISTAN REGION, pages 21–28

Mi, X.

• A DEEP LEARNING APPROACH FOR URBAN UNDERGROUND OBJECTS DETECTION FROM VEHICLE-BORNE GROUND PENETRATING RADAR DATA IN REAL-TIME, pages 293–299

Michaelsen, E.

• DESIGN OF ORIENTATION ASSESSMENT FUNCTIONS FOR GESTALT-GROUPING UTILIZING LABELED SAMPLE-DATA, pages 169–173

Mohammed, H. M.

• SEGMENTATION OF IMAGE PAIRS FOR 3D RECONSTRUCTION, pages 175–180

N

Neuberger, H.

• ENVIRONMENTAL DATA DELIVERY FOR AUTOMOTIVE SIMULATIONS BY LASER SCANNING, pages 41–45

Nguyen, T. H.

• UNSUPERVISED AUTOMATIC BUILDING EXTRACTION USING ACTIVE CONTOUR MODEL ON UNREGISTERED OPTICAL IMAGERY AND AIRBORNE LIDAR DATA, pages 181–188

P

Pfeifle, M.

• ON THE FUSION OF CAMERA AND LIDAR FOR 3D OBJECT DETECTION AND CLASSIFICATION, pages 149–156

Poto, V.

• ENVIRONMENTAL DATA DELIVERY FOR AUTOMOTIVE SIMULATIONS BY LASER SCANNING, pages 41–45

Poujad, V.

• AUTOMATED CHAIN FOR LARGE-SCALE 3D RECONSTRUCTION OF URBAN SCENES FROM SATELLITE IMAGES, pages 243–250

Probeck, M.

• IMPROVEMENT OF EXISTING AND DEVELOPMENT OF FUTURE COPERNICUS LAND MONITORING PRODUCTS – THE ECOLASS PROJECT, pages 201–208

R

Rottensteiner, F.

• SUPERVISED DETECTION OF BOMB CRATERS IN HISTORICAL AERIAL IMAGES USING CONVOLUTIONAL NEURAL NETWORKS, pages 67–74

S

Sadeq, H.

• CITY MODELLING USING GEOINFORMATICS: A CASE STUDY OF THE COLLEGE OF ENGINEERING CAMPUS, SALAHADDIN UNIVERSITY, IRAQ, pages 189–194

Sadiq, H. A.

• CHARACTERIZATION AND MODELING SURFACE SOIL PHYSICOCHEMICAL PROPERTIES USING LANDSAT IMAGES: A CASE STUDY IN THE IRAQI KURDISTAN REGION, pages 21–28

Saito, M.

• SPATIOTEMPORAL ANALYSIS ON CO₂ EMISSIONS FROM HOUSEHOLDS IN JAPAN, pages 75–81

Schmitz, M.

• SEMANTIC SEGMENTATION OF AIRBORNE IMAGES AND CORRESPONDING DIGITAL SURFACE MODELS – ADDITIONAL INPUT DATA OR ADDITIONAL TASK?, pages 195–200

Schwab, K.

• IMPROVEMENT OF EXISTING AND DEVELOPMENT OF FUTURE COPERNICUS LAND MONITORING PRODUCTS – THE ECOLASS PROJECT, pages 201–208

Schwarz, G.

• MACHINE LEARNING FOR SEA ICE MONITORING FROM SATELLITES, pages 83–89

Schweitzer, K.

• IMPROVEMENT OF EXISTING AND DEVELOPMENT OF FUTURE COPERNICUS LAND MONITORING PRODUCTS – THE ECOLASS PROJECT, pages 201–208

Sesma, R.

• SUPER-RESOLUTION FOR SENTINEL-2 IMAGES, pages 95–102

Sevillano Marco, E.

• IMPROVEMENT OF EXISTING AND DEVELOPMENT OF FUTURE COPERNICUS LAND MONITORING PRODUCTS – THE ECOLASS PROJECT, pages 201–208

Shah, S. B.

• REAL-TIME WILDFIRE DETECTION FROM SPACE – A TRADE-OFF BETWEEN SENSOR QUALITY, PHYSICAL LIMITATIONS AND PAYLOAD SIZE, pages 209–213

Shi, Q.

• VIDEO IMAGE TARGET RECOGNITION AND GEOLOCATION METHOD FOR UAV BASED ON LANDMARKS, pages 285–291

Sintès, C.

• UNSUPERVISED AUTOMATIC BUILDING EXTRACTION USING ACTIVE CONTOUR MODEL ON UNREGISTERED OPTICAL IMAGERY AND AIRBORNE LIDAR DATA, pages 181–188

Sommer, C.

• IMPROVEMENT OF EXISTING AND DEVELOPMENT OF FUTURE COPERNICUS LAND MONITORING PRODUCTS – THE ECOLASS PROJECT, pages 201–208

Song, Y.

• A DEEP LEARNING APPROACH FOR URBAN UNDERGROUND OBJECTS DETECTION FROM VEHICLE-BORNE GROUND PENETRATING RADAR DATA IN REAL-TIME, pages 293–299

Sternberg, H.

• PCCT: A POINT CLOUD CLASSIFICATION TOOL TO CREATE 3D TRAINING DATA TO ADJUST AND DEVELOP 3D CONVNET, pages 35–40

Stilla, U.

• PIA19+MRSS19 – PHOTOGRAMMETRIC IMAGE ANALYSIS 2019 & MUNICH REMOTE SENSING SYMPOSIUM 2019: PREFACE, pages 1–2
• A CONCEPT FOR AN AUTOMATED APPROACH OF PUBLIC TRANSPORT VEHICLES TO A BUS STOP, pages 13–20
• SEMANTIC ROAD SCENE KNOWLEDGE FOR ROBUST SELF-CALIBRATION OF ENVIRONMENT-OBSERVING VEHICLE CAMERAS, pages 103–110
• A MATHEMATICAL SENSOR MODEL FOR INDOOR USE OF A MULTI-BEAM ROTATING 3D LIDAR, pages 227–234
• FUSION OF FEATURE BASED AND DEEP LEARNING METHODS FOR CLASSIFICATION OF MMS POINT CLOUDS, pages 235–242

Su, G. Z.

• MAPPING SYSTEM AND PHOTOGRAMMETRIC PROCESSING METHOD FOR TETHERED BALLOON PLATFORM, pages 157–161

Sun, W.

• VIDEO IMAGE TARGET RECOGNITION AND GEOLOCATION METHOD FOR UAV BASED ON LANDMARKS, pages 285–291
• A DEEP LEARNING APPROACH FOR URBAN UNDERGROUND OBJECTS DETECTION FROM VEHICLE-BORNE GROUND PENETRATING RADAR DATA IN REAL-TIME, pages 293–299

Sun, Y.

• LAND USE CLASSIFICATION BASED ON MULTI-STRUCTURE CONVOLUTION NEURAL NETWORK FEATURES CASCADING, pages 163–167

T

Tan, Q.

• THE CORRESPONDING POINTS SCREENING ALGORITHM BASED ON GAUSSIAN KERNEL FUZZY CLUSTERING, pages 215–219
• REMOTE SENSING SCENE CLASSIFICATION USING MULTIPLE PYRAMID POOLING, pages 279–284

Tarabalka, Y.

• AUTOMATED CHAIN FOR LARGE-SCALE 3D RECONSTRUCTION OF URBAN SCENES FROM SATELLITE IMAGES, pages 243–250

Teng, G. E.

• A JOINT CALIBRATION METHOD OF 3D IMAGES ACQUIRED BY COMMON OPTICAL PATH PAYLOAD, pages 221–226

Tessema, L. S.

• A MATHEMATICAL SENSOR MODEL FOR INDOOR USE OF A MULTI-BEAM ROTATING 3D LIDAR, pages 227–234

Tihanyi, V.

• ENVIRONMENTAL DATA DELIVERY FOR AUTOMOTIVE SIMULATIONS BY LASER SCANNING, pages 41–45

Tong, X.

• BLOCK ADJUSTMENT OF LARGE-SCALE HIGH-RESOLUTION OPTICAL SATELLITE IMAGERY WITHOUT GCPS BASED ON THE GPU, pages 91–94

Tosic, D.

• FUSION OF FEATURE BASED AND DEEP LEARNING METHODS FOR CLASSIFICATION OF MMS POINT CLOUDS, pages 235–242

Trastour, F.

• AUTOMATED CHAIN FOR LARGE-SCALE 3D RECONSTRUCTION OF URBAN SCENES FROM SATELLITE IMAGES, pages 243–250

Tripodi, S.

• AUTOMATED CHAIN FOR LARGE-SCALE 3D RECONSTRUCTION OF URBAN SCENES FROM SATELLITE IMAGES, pages 243–250

Tsai, G. J.

• INS-AIDED 3D LIDAR SEAMLESS MAPPING IN CHALLENGING ENVIRONMENT FOR FUTURE HIGH DEFINITION MAP, pages 251–257

Tuttas, S.

• FUSION OF FEATURE BASED AND DEEP LEARNING METHODS FOR CLASSIFICATION OF MMS POINT CLOUDS, pages 235–242

V

Valipour Shokouhi, B.

• FUZZY LOGIC BASED BURNED SEVERITY CLASSIFICATION AND MAPPING WITH LANDSAT-8 DATA, pages 259–265

W

Wachendorf, M.

• THE BENEFIT OF SPECTRAL AND POINT-CLOUD DATA FOR HERBAGE YIELD AND QUALITY ASSESSMENT OF GRASSLANDS, pages 267–272

Wang, H.

• BLOCK ADJUSTMENT OF LARGE-SCALE HIGH-RESOLUTION OPTICAL SATELLITE IMAGERY WITHOUT GCPS BASED ON THE GPU, pages 91–94

Wang, J. H.

• A JOINT CALIBRATION METHOD OF 3D IMAGES ACQUIRED BY COMMON OPTICAL PATH PAYLOAD, pages 221–226

Weistock, M.

• CLASSIFICATION OF DATA FROM AIRBORNE LIDAR BATHYMETRY WITH RANDOM FOREST ALGORITHM BASED ON DIFFERENT FEATURE VECTORS, pages 143–148

Wieland, M.

• SEMANTIC SEGMENTATION OF WATER BODIES IN MULTI-SPECTRAL SATELLITE IMAGES FOR SITUATIONAL AWARENESS IN EMERGENCY RESPONSE, pages 273–277

Wu, H. H.

• A JOINT CALIBRATION METHOD OF 3D IMAGES ACQUIRED BY COMMON OPTICAL PATH PAYLOAD, pages 221–226

Wu, W.

• THE CORRESPONDING POINTS SCREENING ALGORITHM BASED ON GAUSSIAN KERNEL FUZZY CLUSTERING, pages 215–219

Y

Yang, B.

• A DEEP LEARNING APPROACH FOR URBAN UNDERGROUND OBJECTS DETECTION FROM VEHICLE-BORNE GROUND PENETRATING RADAR DATA IN REAL-TIME, pages 293–299

Yao, W.

• DEAD WOOD DETECTION BASED ON SEMANTIC SEGMENTATION OF VHR AERIAL CIR IMAGERY USING OPTIMIZED FCN-DENSENET, pages 127–133

Yao, Y.

• REMOTE SENSING SCENE CLASSIFICATION USING MULTIPLE PYRAMID POOLING, pages 279–284

Z

Zeller, N.

• ON THE FUSION OF CAMERA AND LIDAR FOR 3D OBJECT DETECTION AND CLASSIFICATION, pages 149–156

Zhang, H. J.

• A JOINT CALIBRATION METHOD OF 3D IMAGES ACQUIRED BY COMMON OPTICAL PATH PAYLOAD, pages 221–226

Zhang, Y.

• VIDEO IMAGE TARGET RECOGNITION AND GEOLOCATION METHOD FOR UAV BASED ON LANDMARKS, pages 285–291

Zhao, H.

• THE CORRESPONDING POINTS SCREENING ALGORITHM BASED ON GAUSSIAN KERNEL FUZZY CLUSTERING, pages 215–219
• REMOTE SENSING SCENE CLASSIFICATION USING MULTIPLE PYRAMID POOLING, pages 279–284

Zhou, M.

• A JOINT CALIBRATION METHOD OF 3D IMAGES ACQUIRED BY COMMON OPTICAL PATH PAYLOAD, pages 221–226

Zimmermann, A.

• A CONCEPT FOR AN AUTOMATED APPROACH OF PUBLIC TRANSPORT VEHICLES TO A BUS STOP, pages 13–20

Zong, Z.

• A DEEP LEARNING APPROACH FOR URBAN UNDERGROUND OBJECTS DETECTION FROM VEHICLE-BORNE GROUND PENETRATING RADAR DATA IN REAL-TIME, pages 293–299