PREFACE – ISPRS WORKSHOP ON SEMANTIC SCENE ANALYSIS AND 3D RECONSTRUCTION FROM IMAGES AND IMAGE SEQUENCES (SEMANTICS3D 2019)

Rottensteiner, F.; Yilmaz, A.

doi:https://doi.org/10.5194/isprs-annals-IV-2-W5-3-2019

Vehicle Geolocalization from Drone Imagery

David Novikov, Paul Sotirelis, and Alper Yilmaz

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-2-2024, 171–178, https://doi.org/10.5194/isprs-annals-X-2-2024-171-2024,https://doi.org/10.5194/isprs-annals-X-2-2024-171-2024, 2024

VEHICLE POSE AND SHAPE ESTIMATION IN UAV IMAGERY USING A CNN

S. El Amrani Abouelassad, M. Mehltretter, and F. Rottensteiner

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1-W1-2023, 935–944, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-935-2023,https://doi.org/10.5194/isprs-annals-X-1-W1-2023-935-2023, 2023

USING TIME SERIES IMAGE DATA TO IMPROVE THE GENERALIZATION CAPABILITIES OF A CNN – THE EXAMPLE OF DEFORESTATION DETECTION WITH SENTINEL-2

M. X. Ortega, D. Wittich, F. Rottensteiner, C. Heipke, and R. Q. Feitosa

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1-W1-2023, 961–970, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-961-2023,https://doi.org/10.5194/isprs-annals-X-1-W1-2023-961-2023, 2023

TRANSFORMER MODELS FOR MULTI-TEMPORAL LAND COVER CLASSIFICATION USING REMOTE SENSING IMAGES

M. Voelsen, S. Lauble, F. Rottensteiner, and C. Heipke

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1-W1-2023, 981–990, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-981-2023,https://doi.org/10.5194/isprs-annals-X-1-W1-2023-981-2023, 2023

ADDRESSING CLASS IMBALANCE IN MULTI-CLASS IMAGE CLASSIFICATION BY MEANS OF AUXILIARY FEATURE SPACE RESTRICTIONS

M. Dorozynski and F. Rottensteiner

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 777–785, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-777-2022,https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-777-2022, 2022

VEHICLE INSTANCE SEGMENTATION WITH ROTATED BOUNDING BOXES IN UAV IMAGES USING CNN

S. El Amrani Abouelassad and F. Rottensteiner

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-1-2022, 15–23, https://doi.org/10.5194/isprs-annals-V-1-2022-15-2022,https://doi.org/10.5194/isprs-annals-V-1-2022-15-2022, 2022

COOPERATIVE IMAGE ORIENTATION CONSIDERING DYNAMIC OBJECTS

P. Trusheim, M. Mehltretter, F. Rottensteiner, and C. Heipke

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-1-2022, 169–177, https://doi.org/10.5194/isprs-annals-V-1-2022-169-2022,https://doi.org/10.5194/isprs-annals-V-1-2022-169-2022, 2022

DEEP LEARNING FOR THE DETECTION OF EARLY SIGNS FOR FOREST DAMAGE BASED ON SATELLITE IMAGERY

D. Wittich, F. Rottensteiner, M. Voelsen, C. Heipke, and S. Müller

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2022, 307–315, https://doi.org/10.5194/isprs-annals-V-2-2022-307-2022,https://doi.org/10.5194/isprs-annals-V-2-2022-307-2022, 2022

INVESTIGATING 2D AND 3D CONVOLUTIONS FOR MULTITEMPORAL LAND COVER CLASSIFICATION USING REMOTE SENSING IMAGES

M. Voelsen, M. Teimouri, F. Rottensteiner, and C. Heipke

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2022, 271–279, https://doi.org/10.5194/isprs-annals-V-3-2022-271-2022,https://doi.org/10.5194/isprs-annals-V-3-2022-271-2022, 2022

COOPERATIVE LOCALISATION USING IMAGE SENSORS IN A DYNAMIC TRAFFIC SCENARIO

P. Trusheim, Y. Chen, F. Rottensteiner, and C. Heipke

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2021, 117–124, https://doi.org/10.5194/isprs-archives-XLIII-B1-2021-117-2021,https://doi.org/10.5194/isprs-archives-XLIII-B1-2021-117-2021, 2021

PREFACE: TECHNICAL COMMISSION II

A. Yilmaz, J. D. Wegner, F. Remondino, T. Fuse, and I. Toschi

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2021, 7–7, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-7-2021,https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-7-2021, 2021

MBS-NET: A MOVING-CAMERA BACKGROUND SUBTRACTION NETWORK FOR AUTONOMOUS DRIVING

J. Wei, J. Jiang, and A. Yilmaz

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2021, 69–76, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-69-2021,https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-69-2021, 2021

CNN-BASED MULTI-SCALE HIERARCHICAL LAND USE CLASSIFICATION FOR THE VERIFICATION OF GEOSPATIAL DATABASES

C. Yang, F. Rottensteiner, and C. Heipke

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2021, 495–502, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-495-2021,https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-495-2021, 2021

MOUNTING CALIBRATION OF A MULTI-VIEW CAMERA SYSTEM ON A UAV PLATFORM

M. Mohammadi, A. Khami, F. Rottensteiner, I. Neumann, and C. Heipke

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-1-2021, 97–104, https://doi.org/10.5194/isprs-annals-V-1-2021-97-2021,https://doi.org/10.5194/isprs-annals-V-1-2021-97-2021, 2021

DYNAMIC ROUTING FOR NAVIGATION IN CHANGING UNKNOWN MAPS USING DEEP REINFORCEMENT LEARNING

Y. Han and A. Yilmaz

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-1-2021, 145–150, https://doi.org/10.5194/isprs-annals-V-1-2021-145-2021,https://doi.org/10.5194/isprs-annals-V-1-2021-145-2021, 2021

PREFACE: TECHNICAL COMMISSION II

A. Yilmaz, J. D. Wegner, F. Remondino, T. Fuse, and I. Toschi

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2021, 7–7, https://doi.org/10.5194/isprs-annals-V-2-2021-7-2021,https://doi.org/10.5194/isprs-annals-V-2-2021-7-2021, 2021

DETECTING CRACKS AND SPALLING AUTOMATICALLY IN EXTREME EVENTS BY END-TO-END DEEP LEARNING FRAMEWORKS

Y. Bai, H. Sezen, and A. Yilmaz

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2021, 161–168, https://doi.org/10.5194/isprs-annals-V-2-2021-161-2021,https://doi.org/10.5194/isprs-annals-V-2-2021-161-2021, 2021

ADVERSARIAL DISCRIMINATIVE DOMAIN ADAPTATION FOR DEFORESTATION DETECTION

J. Noa, P. J. Soto, G. A. O. P. Costa, D. Wittich, R. Q. Feitosa, and F. Rottensteiner

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2021, 151–158, https://doi.org/10.5194/isprs-annals-V-3-2021-151-2021,https://doi.org/10.5194/isprs-annals-V-3-2021-151-2021, 2021

INVESTIGATIONS ON FEATURE SIMILARITY AND THE IMPACT OF TRAINING DATA FOR LAND COVER CLASSIFICATION

M. Voelsen, D. Lobo Torres, R. Q. Feitosa, F. Rottensteiner, and C. Heipke

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2021, 181–189, https://doi.org/10.5194/isprs-annals-V-3-2021-181-2021,https://doi.org/10.5194/isprs-annals-V-3-2021-181-2021, 2021

AUTOMATICALLY GENERATED TRAINING DATA FOR LAND COVER CLASSIFICATION WITH CNNS USING SENTINEL-2 IMAGES

M. Voelsen, J. Bostelmann, A. Maas, F. Rottensteiner, and C. Heipke

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2020, 767–774, https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-767-2020,https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-767-2020, 2020

IMPROVING THE CLASSIFICATION OF LAND USE OBJECTS USING DENSE CONNECTIVITY OF CONVOLUTIONAL NEURAL NETWORKS

A. Gujrathi, C. Yang, F. Rottensteiner, K. M. Buddhiraju, and C. Heipke

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 667–673, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-667-2020,https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-667-2020, 2020

LEARNING MAPS FOR OBJECT LOCALIZATION USING VISUAL-INERTIAL ODOMETRY

B. Zha and A. Yilmaz

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-1-2020, 343–350, https://doi.org/10.5194/isprs-annals-V-1-2020-343-2020,https://doi.org/10.5194/isprs-annals-V-1-2020-343-2020, 2020

DEEP LEARNING BASED FEATURE MATCHING AND ITS APPLICATION IN IMAGE ORIENTATION

L. Chen, F. Rottensteiner, and C. Heipke

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2020, 25–33, https://doi.org/10.5194/isprs-annals-V-2-2020-25-2020,https://doi.org/10.5194/isprs-annals-V-2-2020-25-2020, 2020

DEEP CASCADED NEURAL NETWORKS FOR AUTOMATIC DETECTION OF STRUCTURAL DAMAGE AND CRACKS FROM IMAGES

Y. Bai, B. Zha, H. Sezen, and A. Yilmaz

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2020, 411–417, https://doi.org/10.5194/isprs-annals-V-2-2020-411-2020,https://doi.org/10.5194/isprs-annals-V-2-2020-411-2020, 2020

EXPLORING SEMANTIC RELATIONSHIPS FOR HIERARCHICAL LAND USE CLASSIFICATION BASED ON CONVOLUTIONAL NEURAL NETWORKS

C. Yang, F. Rottensteiner, and C. Heipke

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2020, 599–607, https://doi.org/10.5194/isprs-annals-V-2-2020-599-2020,https://doi.org/10.5194/isprs-annals-V-2-2020-599-2020, 2020

ASSESSING THE SEMANTIC SIMILARITY OF IMAGES OF SILK FABRICS USING CONVOLUTIONAL NEURAL NETWORKS

D. Clermont, M. Dorozynski, D. Wittich, and F. Rottensteiner

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2020, 641–648, https://doi.org/10.5194/isprs-annals-V-2-2020-641-2020,https://doi.org/10.5194/isprs-annals-V-2-2020-641-2020, 2020

USING REDUNDANT INFORMATION FROM MULTIPLE AERIAL IMAGES FOR THE DETECTION OF BOMB CRATERS BASED ON MARKED POINT PROCESSES

C. Kruse, F. Rottensteiner, and C. Heipke

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2020, 861–870, https://doi.org/10.5194/isprs-annals-V-2-2020-861-2020,https://doi.org/10.5194/isprs-annals-V-2-2020-861-2020, 2020

INVESTIGATIONS ON SKIP-CONNECTIONS WITH AN ADDITIONAL COSINE SIMILARITY LOSS FOR LAND COVER CLASSIFICATION

C. Yang, F. Rottensteiner, and C. Heipke

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2020, 339–346, https://doi.org/10.5194/isprs-annals-V-3-2020-339-2020,https://doi.org/10.5194/isprs-annals-V-3-2020-339-2020, 2020

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

ADVERSARIAL DOMAIN ADAPTATION FOR THE CLASSIFICATION OF AERIAL IMAGES AND HEIGHT DATA USING CONVOLUTIONAL NEURAL NETWORKS

D. Wittich and F. Rottensteiner

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W7, 197–204, https://doi.org/10.5194/isprs-annals-IV-2-W7-197-2019,https://doi.org/10.5194/isprs-annals-IV-2-W7-197-2019, 2019

MULTI-TASK DEEP LEARNING WITH INCOMPLETE TRAINING SAMPLES FOR THE IMAGE-BASED PREDICTION OF VARIABLES DESCRIBING SILK FABRICS

M. Dorozynski, D. Clermont, and F. Rottensteiner

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W6, 47–54, https://doi.org/10.5194/isprs-annals-IV-2-W6-47-2019,https://doi.org/10.5194/isprs-annals-IV-2-W6-47-2019, 2019

VISION-BASED INDOOR LOCALIZATION VIA A VISUAL SLAM APPROACH

M. Li and F. Rottensteiner

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 827–833, https://doi.org/10.5194/isprs-archives-XLII-2-W13-827-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W13-827-2019, 2019

PREFACE – ISPRS WORKSHOP ON SEMANTIC SCENE ANALYSIS AND 3D RECONSTRUCTION FROM IMAGES AND IMAGE SEQUENCES (SEMANTICS3D 2019)

F. Rottensteiner and A. Yilmaz

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 3–4, https://doi.org/10.5194/isprs-archives-XLII-2-W13-3-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W13-3-2019, 2019

MARKED POINT PROCESSES FOR THE AUTOMATIC DETECTION OF BOMB CRATERS IN AERIAL WARTIME IMAGES

C. Kruse, F. Rottensteiner, and C. Heipke

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 51–60, https://doi.org/10.5194/isprs-archives-XLII-2-W13-51-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W13-51-2019, 2019

TOWARDS BETTER CLASSIFICATION OF LAND COVER AND LAND USE BASED ON CONVOLUTIONAL NEURAL NETWORKS

C. Yang, F. Rottensteiner, and C. Heipke

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 139–146, https://doi.org/10.5194/isprs-archives-XLII-2-W13-139-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W13-139-2019, 2019

PRECISE VEHICLE RECONSTRUCTION FOR AUTONOMOUS DRIVING APPLICATIONS

M. Coenen, F. Rottensteiner, and C. Heipke

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W5, 21–28, https://doi.org/10.5194/isprs-annals-IV-2-W5-21-2019,https://doi.org/10.5194/isprs-annals-IV-2-W5-21-2019, 2019

CONFIDENCE-AWARE PEDESTRIAN TRACKING USING A STEREO CAMERA

U. Nguyen, F. Rottensteiner, and C. Heipke

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W5, 53–60, https://doi.org/10.5194/isprs-annals-IV-2-W5-53-2019,https://doi.org/10.5194/isprs-annals-IV-2-W5-53-2019, 2019

DEEP LEARNING AND ANTHROPOMETRIC PLANE BASED WORKFLOW MONITORING BY DETECTING AND TRACKING WORKERS

N. A. Gard, J. Chen, P. Tang, and A. Yilmaz

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1, 149–154, https://doi.org/10.5194/isprs-archives-XLII-1-149-2018,https://doi.org/10.5194/isprs-archives-XLII-1-149-2018, 2018

SEMANTIC LABELING OF STRUCTURAL ELEMENTS IN BUILDINGS BY FUSING RGB AND DEPTH IMAGES IN AN ENCODER-DECODER CNN FRAMEWORK

D. Iwaszczuk, Z. Koppanyi, N. A. Gard, B. Zha, C. Toth, and A. Yilmaz

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1, 225–232, https://doi.org/10.5194/isprs-archives-XLII-1-225-2018,https://doi.org/10.5194/isprs-archives-XLII-1-225-2018, 2018

IMPROVED CLASSIFICATION OF SATELLITE IMAGERY USING SPATIAL FEATURE MAPS EXTRACTED FROM SOCIAL MEDIA

A. Leichter, D. Wittich, F. Rottensteiner, M. Werner, and M. Sester

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4, 335–342, https://doi.org/10.5194/isprs-archives-XLII-4-335-2018,https://doi.org/10.5194/isprs-archives-XLII-4-335-2018, 2018

A COMPARISON OF TWO STRATEGIES FOR AVOIDING NEGATIVE TRANSFER IN DOMAIN ADAPTATION BASED ON LOGISTIC REGRESSION

A. Paul, K. Vogt, F. Rottensteiner, J. Ostermann, and C. Heipke

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 845–852, https://doi.org/10.5194/isprs-archives-XLII-2-845-2018,https://doi.org/10.5194/isprs-archives-XLII-2-845-2018, 2018

RECOVERING THE 3D POSE AND SHAPE OF VEHICLES FROM STEREO IMAGES

M. Coenen, F. Rottensteiner, and C. Heipke

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2, 73–80, https://doi.org/10.5194/isprs-annals-IV-2-73-2018,https://doi.org/10.5194/isprs-annals-IV-2-73-2018, 2018

ROBUST IMAGE ORIENTATION BASED ON RELATIVE ROTATIONS AND TIE POINTS

X. Wang, F. Rottensteiner, and C. Heipke

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2, 295–302, https://doi.org/10.5194/isprs-annals-IV-2-295-2018,https://doi.org/10.5194/isprs-annals-IV-2-295-2018, 2018

AUTOMATIC CLASSIFICATION OF AERIAL IMAGERY FOR URBAN HYDROLOGICAL APPLICATIONS

A. Paul, C. Yang, U. Breitkopf, Y. Liu, Z. Wang, F. Rottensteiner, M. Wallner, A. Verworn, and C. Heipke

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 1355–1362, https://doi.org/10.5194/isprs-archives-XLII-3-1355-2018,https://doi.org/10.5194/isprs-archives-XLII-3-1355-2018, 2018

GENERATING IMPACT MAPS FROM AUTOMATICALLY DETECTED BOMB CRATERS IN AERIAL WARTIME IMAGES USING MARKED POINT PROCESSES

Christian Kruse, Franz Rottensteiner, Thorsten Hoberg, Marcel Ziems, Julia Rebke, and Christian Heipke

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-3, 127–134, https://doi.org/10.5194/isprs-annals-IV-3-127-2018,https://doi.org/10.5194/isprs-annals-IV-3-127-2018, 2018

CLASSIFICATION OF LAND COVER AND LAND USE BASED ON CONVOLUTIONAL NEURAL NETWORKS

Chun Yang, Franz Rottensteiner, and Christian Heipke

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-3, 251–258, https://doi.org/10.5194/isprs-annals-IV-3-251-2018,https://doi.org/10.5194/isprs-annals-IV-3-251-2018, 2018

ASSIGNING TIE POINTS TO A GENERALISED BUILDING MODEL FOR UAS IMAGE ORIENTATION

J. Unger, F. Rottensteiner, and C. Heipke

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W6, 385–392, https://doi.org/10.5194/isprs-archives-XLII-2-W6-385-2017,https://doi.org/10.5194/isprs-archives-XLII-2-W6-385-2017, 2017

VISUAL TRACKING UTILIZING OBJECT CONCEPT FROM DEEP LEARNING NETWORK

C. Xiao, A. Yilmaz, and S. Lia

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-1-W1, 125–132, https://doi.org/10.5194/isprs-annals-IV-1-W1-125-2017,https://doi.org/10.5194/isprs-annals-IV-1-W1-125-2017, 2017

STRUCTURED LIGHT BASED 3D SCANNING FOR SPECULAR SURFACE BY THE COMBINATION OF GRAY CODE AND PHASE SHIFTING

Yujia Zhang and Alper Yilmaz

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B3, 137–142, https://doi.org/10.5194/isprs-archives-XLI-B3-137-2016,https://doi.org/10.5194/isprs-archives-XLI-B3-137-2016, 2016

PREFACE – ISPRS WORKSHOP ON SEMANTIC SCENE ANALYSIS AND 3D RECONSTRUCTION FROM IMAGES AND IMAGE SEQUENCES (SEMANTICS3D 2019)

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