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

Yang, C.; Rottensteiner, F.; Heipke, C.

doi:https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-495-2021

JOINT BUNDLE ADJUSTMENT OF THERMAL INFRA-RED AND OPTICAL IMAGES BASED ON MULTIMODAL MATCHING

A. Sledz and C. Heipke

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2022, 157–165, https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-157-2022,https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-157-2022, 2022

IMAGE-BASED DEEP LEARNING FOR RHEOLOGY DETERMINATION OF BINGHAM FLUIDS

A. Ponick, A. Langer, D. Beyer, M. Coenen, M. Haist, and C. Heipke

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 711–720, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-711-2022,https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-711-2022, 2022

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

LEARNING TO SIEVE: PREDICTION OF GRADING CURVES FROM IMAGES OF CONCRETE AGGREGATE

M. Coenen, D. Beyer, C. Heipke, and M. Haist

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2022, 227–235, https://doi.org/10.5194/isprs-annals-V-2-2022-227-2022,https://doi.org/10.5194/isprs-annals-V-2-2022-227-2022, 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

THERMAL ANOMALY DETECTION BASED ON SALIENCY ANALYSIS FROM MULTIMODAL IMAGING SOURCES

A. Sledz and C. Heipke

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-1-2021, 55–64, https://doi.org/10.5194/isprs-annals-V-1-2021-55-2021,https://doi.org/10.5194/isprs-annals-V-1-2021-55-2021, 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

SEMI-SUPERVISED SEGMENTATION OF CONCRETE AGGREGATE USING CONSENSUS REGULARISATION AND PRIOR GUIDANCE

M. Coenen, T. Schack, D. Beyer, C. Heipke, and M. Haist

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2021, 83–91, https://doi.org/10.5194/isprs-annals-V-2-2021-83-2021,https://doi.org/10.5194/isprs-annals-V-2-2021-83-2021, 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

EVALUATION OF SEMANTIC SEGMENTATION METHODS FOR DEFORESTATION DETECTION IN THE AMAZON

R. B. Andrade, G. A. O. P. Costa, G. L. A. Mota, M. X. Ortega, R. Q. Feitosa, P. J. Soto, and C. Heipke

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2020, 1497–1505, https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-1497-2020,https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-1497-2020, 2020

DOMAIN ADAPTATION WITH CYCLEGAN FOR CHANGE DETECTION IN THE AMAZON FOREST

P. J. Soto, G. A. O. P. Costa, R. Q. Feitosa, P. N. Happ, M. X. Ortega, J. Noa, C. A. Almeida, and C. Heipke

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2020, 1635–1643, https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-1635-2020,https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-1635-2020, 2020

MULTI-SCALE BUILDING MAPS FROM AERIAL IMAGERY

Y. Feng, C. Yang, and M. Sester

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2020, 41–47, https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-41-2020,https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-41-2020, 2020

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 DISPARITY ESTIMATION BASED ON RESIDUAL COST VOLUME AND RECONSTRUCTION ERROR VOLUME

J. Kang, L. Chen, F. Deng, and C. Heipke

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 135–142, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-135-2020,https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-135-2020, 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

PRECISION OF VISUAL LOCALIZATION USING DYNAMIC GROUND CONTROL POINTS

P. Trusheim and C. Heipke

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2020, 363–370, https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-363-2020,https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-363-2020, 2020

UAV-BASED THERMAL ANOMALY DETECTION FOR DISTRIBUTED HEATING NETWORKS

A. Sledz, J. Unger, and C. Heipke

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2020, 499–505, https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-499-2020,https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-499-2020, 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

GEOMETRY-BASED REGULARISATION FOR DENSE IMAGE MATCHING VIA UNCERTAINTY-DRIVEN DEPTH PROPAGATION

M. Höllmann, M. Mehltretter, and C. Heipke

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2020, 151–159, https://doi.org/10.5194/isprs-annals-V-2-2020-151-2020,https://doi.org/10.5194/isprs-annals-V-2-2020-151-2020, 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

SEMANTIC SEGMENTATION OF BRAZILIAN SAVANNA VEGETATION USING HIGH SPATIAL RESOLUTION SATELLITE DATA AND U-NET

A. K. Neves, T. S. Körting, L. M. G. Fonseca, C. D. Girolamo Neto, D. Wittich, G. A. O. P. Costa, and C. Heipke

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2020, 505–511, https://doi.org/10.5194/isprs-annals-V-3-2020-505-2020,https://doi.org/10.5194/isprs-annals-V-3-2020-505-2020, 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

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

F. Rottensteiner and A. Yilmaz

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W5, 3–4, https://doi.org/10.5194/isprs-annals-IV-2-W5-3-2019,https://doi.org/10.5194/isprs-annals-IV-2-W5-3-2019, 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

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

Editorial Note

C. Heipke

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-5-W7, 543–543, https://doi.org/10.5194/isprs-archives-XL-5-W7-543-2016,https://doi.org/10.5194/isprs-archives-XL-5-W7-543-2016, 2016

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

Related authors

Useful Links

Useful External Links

Our Contact