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17 May 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
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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
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
Depth-Aware Panoptic Segmentation
Tuan Nguyen, Max Mehltretter, and Franz Rottensteiner
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-2-2024, 153–161, https://doi.org/10.5194/isprs-annals-X-2-2024-153-2024,https://doi.org/10.5194/isprs-annals-X-2-2024-153-2024, 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
A DEBIASING VARIATIONAL AUTOENCODER FOR DEFORESTATION MAPPING
M. X. Ortega Adarme, P. J. Soto Vega, G. A. O. P. Costa, R. Q. Feitosa, and C. Heipke
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-M-1-2023, 217–223, https://doi.org/10.5194/isprs-archives-XLVIII-M-1-2023-217-2023,https://doi.org/10.5194/isprs-archives-XLVIII-M-1-2023-217-2023, 2023
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
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
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
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
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
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
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