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22 Aug 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
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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
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
Brazilian Pampa as part of the INPE’s official program for mapping native vegetation removal
Tatiana Mora Kuplich, Luciana Soler, Igor da Silva Narvaes, Daniela Peixoto, Patricia Trindade, Greice Silveira, and Claudio Almeida
Abstr. Int. Cartogr. Assoc., 6, 130, https://doi.org/10.5194/ica-abs-6-130-2023,https://doi.org/10.5194/ica-abs-6-130-2023, 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
MAPPING NATURAL NON-FOREST VEGETATION REMOVAL IN THE BRAZILIAN AMAZON – A PILOT PROJECT
C. Almeida, D. Silva, C. G. Messias, L. S. Soler, L. H. Gusmão, L. E. P. Maurano, T. Souza, I. Soares, D. Barradas, I. P. Cunha, E. Bastos, A. Belluzo, C. Quadros, B. Pechini, F. Pinheiro, and L. J. Silva
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2022, 1341–1348, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-1341-2022,https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-1341-2022, 2022
PREFACE: TECHNICAL COMMISSION I
S. Hinz, R. Q. Feitosa, M. Weinmann, and B. Jutzi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2022, 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
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
HOW FAR SHOULD I LOOK? A NEURAL ARCHITECTURE SEARCH STRATEGY FOR SEMANTIC SEGMENTATION OF REMOTE SENSING IMAGES
M. C. M. de Paulo, J. N. Turnes, P. N. Happ, M. P. Ferreira, H. A. Marques, and R. Q. Feitosa
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
PROMISING ADVANCES OF AMAZONIAN MONITORING SYSTEMS THROUGHOUT VANGUARD TECHNOLOGY AND SCIENTIFIC KNOWLEDGE
L. S. Soler, D. E. Silva, C. Messias, T. C. Lima, B. M. P. Bento, J. J. de Souza, J. Doblas, D. Moraes, and C. Almeida
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2021, 843–849, https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-843-2021,https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-843-2021, 2021
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
DEFORESTATION MONITORING IN DIFFERENT BRAZILIAN BIOMES: CHALLENGES AND LESSONS
C. A. Almeida, D. M. Valeriano, L. Maurano, L. Vinhas, L. M. G. Fonseca, D. Silva, C. P. F. Santos, F. S. R. V. Martins, F. C. B. Lara, J. S. Maia, E. R. Profeta, L. O. Santos, F. C. O. Santos, and V. Ribeiro
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-3-W2-2020, 47–52, https://doi.org/10.5194/isprs-annals-IV-3-W2-2020-47-2020,https://doi.org/10.5194/isprs-annals-IV-3-W2-2020-47-2020, 2020
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
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
OBJECT BASED IMAGE ANALYSIS AND TEXTURE FEATURES FOR PASTURE CLASSIFICATION IN BRAZILIAN SAVANNAH
C. D. Girolamo-Neto, L. Y. Sato, I. D. Sanches, I. C. O. Silva, J. C. S. Rocha, and C. A. Almeida
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2020, 453–460, https://doi.org/10.5194/isprs-annals-V-3-2020-453-2020,https://doi.org/10.5194/isprs-annals-V-3-2020-453-2020, 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
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
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