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21 Apr 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
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A COMPARISON OF CLOUD REMOVAL METHODS FOR DEFORESTATION MONITORING IN AMAZON RAINFOREST
J. A. C. Martinez, M. X. O. Adarme, J. N. Turnes, G. A. O. P. Costa, C. A. De Almeida, and R. Q. Feitosa
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2022, 665–671, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-665-2022,https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-665-2022, 2022
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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
Leveraging SAR and Optical Remote Sensing for Enhanced Biomass Estimation in the Amazon with Random Forest and XGBoost Models
Rodrigo Antunes, Luiz Junior, Gilson Costa, Raul Feitosa, Edilson de Souza Bias, Abimael Cereda Junior, Catherine Almeida, Laura E. Cué La Rosa, Patrick Happ, and Leonardo Chiamulera
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-3-2024, 21–27, https://doi.org/10.5194/isprs-annals-X-3-2024-21-2024,https://doi.org/10.5194/isprs-annals-X-3-2024-21-2024, 2024
XGBOOST and Multitemporal DETER Data for Deforestation Forecasting
Laura E. Cué La Rosa, Felipe Ferrari, Francisco Gilney Silva Bezerra, Rodrigo Antônio de Souza, Raian Vargas Maretto, Ana Paula Dutra de Aguiar, Lubia Vinhas, Patrick Nigri Happ, and Raul Queiroz Feitosa
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-3-2024, 193–198, https://doi.org/10.5194/isprs-annals-X-3-2024-193-2024,https://doi.org/10.5194/isprs-annals-X-3-2024-193-2024, 2024
Deep-Sea Fauna Segmentation: A Comparative Analysis of Convolutional and Vision Transformer Architectures at Lucky Strike Vent Field
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ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-3-2024, 387–395, https://doi.org/10.5194/isprs-annals-X-3-2024-387-2024,https://doi.org/10.5194/isprs-annals-X-3-2024-387-2024, 2024
Novel View Synthesis with Neural Radiance Fields for Industrial Robot Applications
Markus Hillemann, Robert Langendörfer, Max Heiken, Max Mehltretter, Andreas Schenk, Martin Weinmann, Stefan Hinz, Christian Heipke, and Markus Ulrich
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-2024, 137–144, https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-137-2024,https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-137-2024, 2024
Image-based Deep Learning for the time-dependent prediction of fresh concrete properties
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BEDOI: BENCHMARKS FOR DETERMINING OVERLAPPING IMAGES WITH PHOTOGRAMMETRIC INFORMATION
H. Zhan, Y. F. Yu, Y. W. Xu, Q. B. Hou, R. Xia, X. Wang, Y. Feng, Z. Q. Zhan, M. L. Li, M. Gruber, R. Hänsch, and C. Heipke
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W2-2023, 1685–1692, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1685-2023,https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1685-2023, 2023
PREFACE: TECHNICAL COMMISSION I
S. Hinz, R. Q. Feitosa, M. Weinmann, and B. Jutzi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2022, 7–7, https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-7-2022,https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-7-2022, 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
A COMPARISON OF CLOUD REMOVAL METHODS FOR DEFORESTATION MONITORING IN AMAZON RAINFOREST
J. A. C. Martinez, M. X. O. Adarme, J. N. Turnes, G. A. O. P. Costa, C. A. De Almeida, and R. Q. Feitosa
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2022, 665–671, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-665-2022,https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-665-2022, 2022
PREFACE: TECHNICAL COMMISSION I
S. Hinz, R. Q. Feitosa, M. Weinmann, and B. Jutzi
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-1-2022, 7–7, https://doi.org/10.5194/isprs-annals-V-1-2022-7-2022,https://doi.org/10.5194/isprs-annals-V-1-2022-7-2022, 2022
COOPERATIVE IMAGE ORIENTATION CONSIDERING DYNAMIC OBJECTS
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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
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ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2022, 17–23, https://doi.org/10.5194/isprs-annals-V-3-2022-17-2022,https://doi.org/10.5194/isprs-annals-V-3-2022-17-2022, 2022
PREFACE: TECHNICAL COMMISSION I
S. Hinz, R. Q. Feitosa, M. Weinmann, and B. Jutzi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2021, 7–7, https://doi.org/10.5194/isprs-archives-XLIII-B1-2021-7-2021,https://doi.org/10.5194/isprs-archives-XLIII-B1-2021-7-2021, 2021
PREFACE: TECHNICAL COMMISSION I
S. Hinz, R. Q. Feitosa, M. Weinmann, and B. Jutzi
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-1-2021, 7–7, https://doi.org/10.5194/isprs-annals-V-1-2021-7-2021,https://doi.org/10.5194/isprs-annals-V-1-2021-7-2021, 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
SEMANTIC SEGMENTATION OF ENDANGERED TREE SPECIES IN BRAZILIAN SAVANNA USING DEEPLABV3+ VARIANTS
D. L. Torres, R. Q. Feitosa, L. E. C. La Rosa, P. N. Happ, J. Marcato Junior, W. N. Gonçalves, J. Martins, and V. Liesenberg
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W12-2020, 355–360, https://doi.org/10.5194/isprs-archives-XLII-3-W12-2020-355-2020,https://doi.org/10.5194/isprs-archives-XLII-3-W12-2020-355-2020, 2020
FIRST RESULTS OF THE LEM BENCHMARK DATABASE FOR AGRICULTURAL APPLICATIONS
I. D. Sanches, R. Q. Feitosa, B. Montibeller, P. M. Achanccaray Diaz, A. J. B. Luiz, M. D. Soares, V. H. R. Prudente, D. C. Vieira, L. E. P. Maurano, P. N. Happ, J. Chamorro, and L. V. Oldoni
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B5-2020, 251–256, https://doi.org/10.5194/isprs-archives-XLIII-B5-2020-251-2020,https://doi.org/10.5194/isprs-archives-XLIII-B5-2020-251-2020, 2020
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
PREFACE: TECHNICAL COMMISSION I
S. Hinz, R. Q. Feitosa, M. Weinmann, and B. Jutzi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2020, 7–7, https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-7-2020,https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-7-2020, 2020
Preface: Technical Commission I
S. Hinz, R. Q. Feitosa, M. Weinmann, and B. Jutzi
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-1-2020, 7–7, https://doi.org/10.5194/isprs-annals-V-1-2020-7-2020,https://doi.org/10.5194/isprs-annals-V-1-2020-7-2020, 2020
EVALUATING A CONVOLUTIONAL NEURAL NETWORK FOR FEATURE EXTRACTION AND TREE SPECIES CLASSIFICATION USING UAV-HYPERSPECTRAL IMAGES
C. Sothe, L. E. C. la Rosa, C. M. de Almeida, A. Gonsamo, M. B. Schimalski, J. D. B. Castro, R. Q. Feitosa, M. Dalponte, C. L. Lima, V. Liesenberg, G. T. Miyoshi, and A. M. G. Tommaselli
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2020, 193–199, https://doi.org/10.5194/isprs-annals-V-3-2020-193-2020,https://doi.org/10.5194/isprs-annals-V-3-2020-193-2020, 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
A COMPARISON BETWEEN THE HADOOP AND SPARK DISTRIBUTED FRAMEWORKS IN THE CONTEXT OF REGION-GROWING SEGMENTATION OF REMOTE SENSING IMAGES
R. B. Andrade, J. M. F. Santos, G. A. O. P. Costa, G. L. A. Mota, P. N. Happ, and R. Q. Feitosa
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W7, 3–8, https://doi.org/10.5194/isprs-annals-IV-2-W7-3-2019,https://doi.org/10.5194/isprs-annals-IV-2-W7-3-2019, 2019
XXIII ISPRS Congress, Proceedings and Results – Volume XLI, Part A, 2016
L. Halounová, C. Heipke, and A. Radtke
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-A, 1–298, https://doi.org/10.5194/isprs-archives-XLI-A-1-2018,https://doi.org/10.5194/isprs-archives-XLI-A-1-2018, 2018
LEM BENCHMARK DATABASE FOR TROPICAL AGRICULTURAL REMOTE SENSING APPLICATION
I. D. Sanches, R. Q. Feitosa, P. Achanccaray, B. Montibeller, A. J. B. Luiz, M. D. Soares, V. H. R. Prudente, D. C. Vieira, and L. E. P. Maurano
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1, 387–392, https://doi.org/10.5194/isprs-archives-XLII-1-387-2018,https://doi.org/10.5194/isprs-archives-XLII-1-387-2018, 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
Preface
Christian Heipke, Karsten Jacobsen, Uwe Stilla, Franz Rottensteiner, Alper Yilmaz, Michael Ying Yang, Jan Skaloud, and Ismael Colomina
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-1-W1, 1–2, https://doi.org/10.5194/isprs-annals-IV-1-W1-1-2017,https://doi.org/10.5194/isprs-annals-IV-1-W1-1-2017, 2017
Preface
C. Heipke, K. Jacobsen, U. Stilla, F. Rottensteiner, A. Yilmaz, M. Ying Yang, J. Skaloud, and I. Colomina
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1-W1, 1–2, https://doi.org/10.5194/isprs-archives-XLII-1-W1-1-2017,https://doi.org/10.5194/isprs-archives-XLII-1-W1-1-2017, 2017
CLASSIFICATION UNDER LABEL NOISE BASED ON OUTDATED MAPS
A. Maas, F. Rottensteiner, and C. Heipke
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-1-W1, 215–222, https://doi.org/10.5194/isprs-annals-IV-1-W1-215-2017,https://doi.org/10.5194/isprs-annals-IV-1-W1-215-2017, 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