Volume XLII-2/W16, 2019

Volume XLII-2/W16, 2019

ISPRS ICWG II/III
PIA19+MRSS19 - Photogrammetric Image Analysis & Munich Remote Sensing Symposium: Joint ISPRS conference
18–20 September 2019, Munich, Germany Editor(s): U. Stilla, L. Hoegner, and Y. Xu
17 Sep 2019
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
17 Sep 2019
FUTUREGAN: ANTICIPATING THE FUTURE FRAMES OF VIDEO SEQUENCES USING SPATIO-TEMPORAL 3D CONVOLUTIONS IN PROGRESSIVELY GROWING GANS
S. Aigner and M. Körner
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W16, 3–11, https://doi.org/10.5194/isprs-archives-XLII-2-W16-3-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W16-3-2019, 2019
17 Sep 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
17 Sep 2019
CHARACTERIZATION AND MODELING SURFACE SOIL PHYSICOCHEMICAL PROPERTIES USING LANDSAT IMAGES: A CASE STUDY IN THE IRAQI KURDISTAN REGION
A. M. F. Al-Quraishi, H. A. Sadiq, and J. P. Messina
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W16, 21–28, https://doi.org/10.5194/isprs-archives-XLII-2-W16-21-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W16-21-2019, 2019
17 Sep 2019
MAPPING GLACIER CHANGES USING CLUSTERING TECHNIQUES ON CLOUD COMPUTING INFRASTRUCTURE
V. Ayma, C. Beltrán, P. N. Happ, G. A. O. P. Costa, and R. Q. Feitosa
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W16, 29–34, https://doi.org/10.5194/isprs-archives-XLII-2-W16-29-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W16-29-2019, 2019
17 Sep 2019
PCCT: A POINT CLOUD CLASSIFICATION TOOL TO CREATE 3D TRAINING DATA TO ADJUST AND DEVELOP 3D CONVNET
E. Barnefske and H. Sternberg
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W16, 35–40, https://doi.org/10.5194/isprs-archives-XLII-2-W16-35-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W16-35-2019, 2019
17 Sep 2019
ENVIRONMENTAL DATA DELIVERY FOR AUTOMOTIVE SIMULATIONS BY LASER SCANNING
A. Barsi, A. Csepinszky, N. Krausz, H. Neuberger, V. Poto, and V. Tihanyi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W16, 41–45, https://doi.org/10.5194/isprs-archives-XLII-2-W16-41-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W16-41-2019, 2019
16 Sep 2019
TOWARDS THE AUTOMATIC DETECTION OF GEOSPATIAL CHANGES BASED ON DIGITAL ELEVATION MODELS PRODUCED BY UAV IMAGERY
T. Bauman, O. Almog, and S. Dalyot
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W16, 47–53, https://doi.org/10.5194/isprs-archives-XLII-2-W16-47-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W16-47-2019, 2019
17 Sep 2019
LITHOLOGICAL CLASSIFICATION USING MULTI-SENSOR DATA AND CONVOLUTIONAL NEURAL NETWORKS
M. Brandmeier and Y. Chen
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W16, 55–59, https://doi.org/10.5194/isprs-archives-XLII-2-W16-55-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W16-55-2019, 2019
17 Sep 2019
AUTOMATIC OBJECT EXTRACTION FROM HIGH RESOLUTION AERIAL IMAGERY WITH SIMPLE LINEAR ITERATIVE CLUSTERING AND CONVOLUTIONAL NEURAL NETWORKS
A. C. Carrilho and M. Galo
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W16, 61–66, https://doi.org/10.5194/isprs-archives-XLII-2-W16-61-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W16-61-2019, 2019
17 Sep 2019
SUPERVISED DETECTION OF BOMB CRATERS IN HISTORICAL AERIAL IMAGES USING CONVOLUTIONAL NEURAL NETWORKS
D. Clermont, C. Kruse, F. Rottensteiner, and C. Heipke
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W16, 67–74, https://doi.org/10.5194/isprs-archives-XLII-2-W16-67-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W16-67-2019, 2019
17 Sep 2019
SPATIOTEMPORAL ANALYSIS ON CO2 EMISSIONS FROM HOUSEHOLDS IN JAPAN
R. Cong, M. Saito, R. Hirata, and A. Ito
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W16, 75–81, https://doi.org/10.5194/isprs-archives-XLII-2-W16-75-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W16-75-2019, 2019
17 Sep 2019
MACHINE LEARNING FOR SEA ICE MONITORING FROM SATELLITES
C. O. Dumitru, V. Andrei, G. Schwarz, and M. Datcu
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W16, 83–89, https://doi.org/10.5194/isprs-archives-XLII-2-W16-83-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W16-83-2019, 2019
17 Sep 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
17 Sep 2019
SUPER-RESOLUTION FOR SENTINEL-2 IMAGES
M. Galar, R. Sesma, C. Ayala, and C. Aranda
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W16, 95–102, https://doi.org/10.5194/isprs-archives-XLII-2-W16-95-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W16-95-2019, 2019
17 Sep 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
17 Sep 2019
STATISTICAL ANALYSIS OF AIRBORNE IMAGERY COMBINED WITH GIS INFORMATION FOR TRAINING DATA GENERATION
G. Häufel, D. Bulatov, and P. Helmholz
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W16, 111–118, https://doi.org/10.5194/isprs-archives-XLII-2-W16-111-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W16-111-2019, 2019
17 Sep 2019
IMPACT OF DIFFERENT TRAJECTORIES ON EXTRINSIC SELF-CALIBRATION FOR VEHICLE-BASED MOBILE LASER SCANNING SYSTEMS
M. Hillemann, J. Meidow, and B. Jutzi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W16, 119–125, https://doi.org/10.5194/isprs-archives-XLII-2-W16-119-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W16-119-2019, 2019
17 Sep 2019
DEAD WOOD DETECTION BASED ON SEMANTIC SEGMENTATION OF VHR AERIAL CIR IMAGERY USING OPTIMIZED FCN-DENSENET
S. Jiang, W. Yao, and M. Heurich
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W16, 127–133, https://doi.org/10.5194/isprs-archives-XLII-2-W16-127-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W16-127-2019, 2019
17 Sep 2019
EVENTS RECOGNITION FOR A SEMI-AUTOMATIC ANNOTATION OF SOCCER VIDEOS: A STUDY BASED DEEP LEARNING
L. F. Kazi Tani, A. Ghomari, and M. Y. Kazi Tani
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W16, 135–141, https://doi.org/10.5194/isprs-archives-XLII-2-W16-135-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W16-135-2019, 2019
17 Sep 2019
CLASSIFICATION OF DATA FROM AIRBORNE LIDAR BATHYMETRY WITH RANDOM FOREST ALGORITHM BASED ON DIFFERENT FEATURE VECTORS
T. Kogut, M. Weistock, and K. Bakuła
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W16, 143–148, https://doi.org/10.5194/isprs-archives-XLII-2-W16-143-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W16-143-2019, 2019
17 Sep 2019
ON THE FUSION OF CAMERA AND LIDAR FOR 3D OBJECT DETECTION AND CLASSIFICATION
N. Kozonek, N. Zeller, H. Bock, and M. Pfeifle
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W16, 149–156, https://doi.org/10.5194/isprs-archives-XLII-2-W16-149-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W16-149-2019, 2019
17 Sep 2019
MAPPING SYSTEM AND PHOTOGRAMMETRIC PROCESSING METHOD FOR TETHERED BALLOON PLATFORM
J. M. Li, C. R. Li, G. Z. Su, W. Li, L. L. Ma, and Y. K. Liu
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W16, 157–161, https://doi.org/10.5194/isprs-archives-XLII-2-W16-157-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W16-157-2019, 2019
17 Sep 2019
LAND USE CLASSIFICATION BASED ON MULTI-STRUCTURE CONVOLUTION NEURAL NETWORK FEATURES CASCADING
J. Men, L. Fang, Y. Liu, and Y. Sun
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W16, 163–167, https://doi.org/10.5194/isprs-archives-XLII-2-W16-163-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W16-163-2019, 2019
17 Sep 2019
DESIGN OF ORIENTATION ASSESSMENT FUNCTIONS FOR GESTALT-GROUPING UTILIZING LABELED SAMPLE-DATA
E. Michaelsen and J. Meidow
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W16, 169–173, https://doi.org/10.5194/isprs-archives-XLII-2-W16-169-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W16-169-2019, 2019
17 Sep 2019
SEGMENTATION OF IMAGE PAIRS FOR 3D RECONSTRUCTION
H. M. Mohammed and N. El-Sheimy
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W16, 175–180, https://doi.org/10.5194/isprs-archives-XLII-2-W16-175-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W16-175-2019, 2019
17 Sep 2019
UNSUPERVISED AUTOMATIC BUILDING EXTRACTION USING ACTIVE CONTOUR MODEL ON UNREGISTERED OPTICAL IMAGERY AND AIRBORNE LIDAR DATA
T. H. Nguyen, S. Daniel, D. Guériot, C. Sintès, and J.-M. Le Caillec
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W16, 181–188, https://doi.org/10.5194/isprs-archives-XLII-2-W16-181-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W16-181-2019, 2019
17 Sep 2019
CITY MODELLING USING GEOINFORMATICS: A CASE STUDY OF THE COLLEGE OF ENGINEERING CAMPUS, SALAHADDIN UNIVERSITY, IRAQ
H. Sadeq
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W16, 189–194, https://doi.org/10.5194/isprs-archives-XLII-2-W16-189-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W16-189-2019, 2019
17 Sep 2019
SEMANTIC SEGMENTATION OF AIRBORNE IMAGES AND CORRESPONDING DIGITAL SURFACE MODELS – ADDITIONAL INPUT DATA OR ADDITIONAL TASK?
M. Schmitz, W. Brandenburger, and H. Mayer
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W16, 195–200, https://doi.org/10.5194/isprs-archives-XLII-2-W16-195-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W16-195-2019, 2019
17 Sep 2019
IMPROVEMENT OF EXISTING AND DEVELOPMENT OF FUTURE COPERNICUS LAND MONITORING PRODUCTS – THE ECOLASS PROJECT
E. Sevillano Marco, D. Herrmann, K. Schwab, K. Schweitzer, R. Almengor, F. Berndt, C. Sommer, and M. Probeck
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W16, 201–208, https://doi.org/10.5194/isprs-archives-XLII-2-W16-201-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W16-201-2019, 2019
17 Sep 2019
REAL-TIME WILDFIRE DETECTION FROM SPACE – A TRADE-OFF BETWEEN SENSOR QUALITY, PHYSICAL LIMITATIONS AND PAYLOAD SIZE
S. B. Shah, T. Grübler, L. Krempel, S. Ernst, F. Mauracher, and S. Contractor
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W16, 209–213, https://doi.org/10.5194/isprs-archives-XLII-2-W16-209-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W16-209-2019, 2019
17 Sep 2019
THE CORRESPONDING POINTS SCREENING ALGORITHM BASED ON GAUSSIAN KERNEL FUZZY CLUSTERING
Q. Tan, H. Zhao, and W. Wu
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W16, 215–219, https://doi.org/10.5194/isprs-archives-XLII-2-W16-215-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W16-215-2019, 2019
17 Sep 2019
A JOINT CALIBRATION METHOD OF 3D IMAGES ACQUIRED BY COMMON OPTICAL PATH PAYLOAD
G. E. Teng, M. Zhou, J. Hu, H. H. Wu, W. Li, H. J. Zhang, J. Y. Chen, and J. H. Wang
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W16, 221–226, https://doi.org/10.5194/isprs-archives-XLII-2-W16-221-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W16-221-2019, 2019
17 Sep 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
17 Sep 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
17 Sep 2019
AUTOMATED CHAIN FOR LARGE-SCALE 3D RECONSTRUCTION OF URBAN SCENES FROM SATELLITE IMAGES
S. Tripodi, L. Duan, F. Trastour, V. Poujad, L. Laurore, and Y. Tarabalka
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W16, 243–250, https://doi.org/10.5194/isprs-archives-XLII-2-W16-243-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W16-243-2019, 2019
17 Sep 2019
INS-AIDED 3D LIDAR SEAMLESS MAPPING IN CHALLENGING ENVIRONMENT FOR FUTURE HIGH DEFINITION MAP
G. J. Tsai, K. W. Chiang, and N. El-Sheimy
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W16, 251–257, https://doi.org/10.5194/isprs-archives-XLII-2-W16-251-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W16-251-2019, 2019
17 Sep 2019
FUZZY LOGIC BASED BURNED SEVERITY CLASSIFICATION AND MAPPING WITH LANDSAT-8 DATA
B. Valipour Shokouhi and M. Eslami
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W16, 259–265, https://doi.org/10.5194/isprs-archives-XLII-2-W16-259-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W16-259-2019, 2019
17 Sep 2019
THE BENEFIT OF SPECTRAL AND POINT-CLOUD DATA FOR HERBAGE YIELD AND QUALITY ASSESSMENT OF GRASSLANDS
M. Wachendorf and T. Astor
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W16, 267–272, https://doi.org/10.5194/isprs-archives-XLII-2-W16-267-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W16-267-2019, 2019
17 Sep 2019
SEMANTIC SEGMENTATION OF WATER BODIES IN MULTI-SPECTRAL SATELLITE IMAGES FOR SITUATIONAL AWARENESS IN EMERGENCY RESPONSE
M. Wieland, S. Martinis, and Y. Li
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W16, 273–277, https://doi.org/10.5194/isprs-archives-XLII-2-W16-273-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W16-273-2019, 2019
17 Sep 2019
REMOTE SENSING SCENE CLASSIFICATION USING MULTIPLE PYRAMID POOLING
Y. Yao, H. Zhao, D. Huang, and Q. Tan
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W16, 279–284, https://doi.org/10.5194/isprs-archives-XLII-2-W16-279-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W16-279-2019, 2019
17 Sep 2019
VIDEO IMAGE TARGET RECOGNITION AND GEOLOCATION METHOD FOR UAV BASED ON LANDMARKS
Y. Zhang, C. Lan, Q. Shi, Z. Cui, and W. Sun
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W16, 285–291, https://doi.org/10.5194/isprs-archives-XLII-2-W16-285-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W16-285-2019, 2019
17 Sep 2019
A DEEP LEARNING APPROACH FOR URBAN UNDERGROUND OBJECTS DETECTION FROM VEHICLE-BORNE GROUND PENETRATING RADAR DATA IN REAL-TIME
Z. Zong, C. Chen, X. Mi, W. Sun, Y. Song, J. Li, Z. Dong, R. Huang, and B. Yang
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W16, 293–299, https://doi.org/10.5194/isprs-archives-XLII-2-W16-293-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W16-293-2019, 2019
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