EVALUATING A CONVOLUTIONAL NEURAL NETWORK FOR FEATURE EXTRACTION AND TREE SPECIES CLASSIFICATION USING UAV-HYPERSPECTRAL IMAGES

Sothe, C.; la Rosa, L. E. C.; de Almeida, C. M.; Gonsamo, A.; Schimalski, M. B.; Castro, J. D. B.; Feitosa, R. Q.; Dalponte, M.; Lima, C. L.; Liesenberg, V.; Miyoshi, G. T.; Tommaselli, A. M. G.

doi:https://doi.org/10.5194/isprs-annals-V-3-2020-193-2020

Machine learning-based modelling of zenith wet delay using terrestrial meteorological data in the Brazilian territory

Afonso Marques Albuquerque, Raphael Silva Nespolo, Antonio Maria Garcia Tommaselli, Rorai Perreira Martins-Neto, Nilton Nobuhiro Imai, Daniele Barroca Marra Alves, Tayna Aparecida Ferreira Gouveia, and Gabriel Oliveira Jerez

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-3-2024, 13–19, https://doi.org/10.5194/isprs-annals-X-3-2024-13-2024,https://doi.org/10.5194/isprs-annals-X-3-2024-13-2024, 2024

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

Dry mass grassland estimation using UAV ultra-wide RGB images

Rebeca Campos Emiliano da Silva, Antonio Maria Garcia Tommaselli, Nilton Nobuhiro Imai, Rorai Pereira Martins-Neto, Daniel da Silva da Silveira, and Edemar Moro

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-3-2024, 69–75, https://doi.org/10.5194/isprs-annals-X-3-2024-69-2024,https://doi.org/10.5194/isprs-annals-X-3-2024-69-2024, 2024

Real-Time Leaves Segmentation in RGB Images with Deep Learning in a Single-Board Computer

Clodoaldo de Souza Faria Júnior, Milton Hirokazu Shimabukuro, Antonio Maria Garcia Tommaselli, Marcos Ricardo Omena de Albuquerque Maximo, Letícia Rosim Porto, and Nilton Nobuhiro Imai

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-3-2024, 139–146, https://doi.org/10.5194/isprs-annals-X-3-2024-139-2024,https://doi.org/10.5194/isprs-annals-X-3-2024-139-2024, 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

An Empirical Line approach for Agrowing Camera Aerial Images of inland waters based on exponential fit and in situ water measurements

Beatriz Cirino Lucchetta, Fernanda Sayuri Yoshino Watanabe, Nariane Marselhe Ribeiro Bernardo, Rafael de Campos Fialho, Nilton Nobuhiro Imai, Antonio Maria Garcia Tommaselli, and Gustavo Soares Roncolato

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-3-2024, 215–222, https://doi.org/10.5194/isprs-annals-X-3-2024-215-2024,https://doi.org/10.5194/isprs-annals-X-3-2024-215-2024, 2024

Deep network based approaches to mitigate seasonal effects in SAR images for deforestation monitoring

Carla N. Neves, Mabel X. Ortega Adarme, Raul Q. Feitosa, Juan Doblas Prieto, and Gilson A. Giraldi

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-3-2024, 261–267, https://doi.org/10.5194/isprs-annals-X-3-2024-261-2024,https://doi.org/10.5194/isprs-annals-X-3-2024-261-2024, 2024

Leaf Identification in High-Density LiDAR-RGB Data

Isabella Subtil Norberto, Clodoaldo Souza Faria Junior, Antonio Maria Garcia Tommaselli, Milton Hirokazu Shimabukuro, Rorai Pereira Martins-Neto, Nilton Nobuhiro Imai, and Matheus Ferreira da Silva

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-3-2024, 269–276, https://doi.org/10.5194/isprs-annals-X-3-2024-269-2024,https://doi.org/10.5194/isprs-annals-X-3-2024-269-2024, 2024

Unsupervised multi-target domain adaptation for deforestation detection in tropical rainforest

Mabel X. Ortega Adarme, Gilson A. O. P. da Costa, Pedro J. Soto Vega, Christian Heipke, and Raul Q. Feitosa

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-3-2024, 293–302, https://doi.org/10.5194/isprs-annals-X-3-2024-293-2024,https://doi.org/10.5194/isprs-annals-X-3-2024-293-2024, 2024

Evaluation of YOLO Efficiency in Automatic Orange Detection in Multi-Exposure Images

Maurycio R. Oviedo Espinosa, Letícia R. Porto, Vinicius S. W. Orlando, Antonio M. G. Tommaselli, Aluir P. Dal Poz, and Nilton N. Imai

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-3-2024, 303–308, https://doi.org/10.5194/isprs-annals-X-3-2024-303-2024,https://doi.org/10.5194/isprs-annals-X-3-2024-303-2024, 2024

Use of ResNets for HLB Disease Detection on Orange Leaves Using Terrestrial Multispectral Images

Letícia Rosim Porto, Florent Abdelghafour, Maurycio Oviedo, Nilton Nobuhiro Imai, Antonio Maria Garcia Tommaselli, and Ryad Bendoula

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-3-2024, 331–337, https://doi.org/10.5194/isprs-annals-X-3-2024-331-2024,https://doi.org/10.5194/isprs-annals-X-3-2024-331-2024, 2024

Preface: ISPRS Technical Commission I Midterm Symposium on “Intelligent Sensing and Remote Sensing Application”

Xinming Tang, Antonio Maria Garcia Tommaselli, Tao Zhang, and Junfeng Xie

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-2024, 935–935, https://doi.org/10.5194/isprs-archives-XLVIII-1-2024-935-2024,https://doi.org/10.5194/isprs-archives-XLVIII-1-2024-935-2024, 2024

Simultaneous Calibration of Multiple Cameras and Generation of Omnidirectional Images

José M. Pacheco and Antonio M. G. Tommaselli

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1-2024, 183–190, https://doi.org/10.5194/isprs-annals-X-1-2024-183-2024,https://doi.org/10.5194/isprs-annals-X-1-2024-183-2024, 2024

Preface: ISPRS Technical Commission I Midterm Symposium on “Intelligent Sensing and Remote Sensing Application”

Xinming Tang, Antonio Maria Garcia Tommaselli, Tao Zhang, and Junfeng Xie

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1-2024, 321–321, https://doi.org/10.5194/isprs-annals-X-1-2024-321-2024,https://doi.org/10.5194/isprs-annals-X-1-2024-321-2024, 2024

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

FUSING SENTINEL-1 AND SENTINEL-2 IMAGES WITH TRANSFORMER-BASED NETWORK FOR DEFORESTATION DETECTION IN THE BRAZILIAN AMAZON UNDER DIVERSE CLOUD CONDITIONS

F. Ferrari, M. P. Ferreira, and R. Q. Feitosa

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1-W1-2023, 999–1006, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-999-2023,https://doi.org/10.5194/isprs-annals-X-1-W1-2023-999-2023, 2023

UAV-LIDAR BORESIGHT ESTIMATION USING VIRTUAL CONTROL POINTS: A CASE STUDY

M. V. Machado and A. M. G. Tommaselli

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1-W1-2023, 1073–1080, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-1073-2023,https://doi.org/10.5194/isprs-annals-X-1-W1-2023-1073-2023, 2023

POINT CLOUD REGISTRATION USING LASER DATA FROM AN ORANGE ORCHARD

L. F. Castanheiro, A. M. G. Tommaselli, T. A. C. Garcia, M. B. Campos, and A. Kukko

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W1-2023, 71–77, https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-71-2023,https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-71-2023, 2023

COMPARISON OF TWO MATHEMATICAL MODELS FOR FISHEYE CAMERAS APPLIED IN THE ORB-SLAM

T. A. C. Garcia, A. M. G. Tommaselli, L. F. Castanheiro, and M. B. Campos

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W1-2023, 155–160, https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-155-2023,https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-155-2023, 2023

EFFECTS OF HYPER HEMISPHERICAL FIELD IN BUNDLE ADJUSTMENT WITH FISHEYE IMAGES

A. M. G. Tommaselli, T. A. C. Garcia, L. F. Castanheiro, M. B. Campos, and G. H. Santos

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W1-2023, 503–509, https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-503-2023,https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-503-2023, 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

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

RADIOMETRIC CALIBRATION PERFORMANCE OF A MULTISPECTRAL CAMERA WITH A SINGLE SENSOR AND MULTIPLE HEADS

L. R. Porto, N. N. Imai, A. M. G. Tommaselli, and L. Salvador Neto

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2022, 17–22, https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-17-2022,https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-17-2022, 2022

THE USE OF A WIDE FOV LASER SCANNING SYSTEM AND A SLAM ALGORITHM FOR MOBILE APPLICATIONS

L. F. Castanheiro, A. M. G. Tommaselli, M. V. Machado, G. H. Santos, I. S. Norberto, and T. T. Reis

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2022, 181–187, https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-181-2022,https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-181-2022, 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

DEFORESTATION DETECTION WITH WEAK SUPERVISED CONVOLUTIONAL NEURAL NETWORKS IN TROPICAL BIOMES

P. J. Soto, G. A. O. P. Costa, M. X. Ortega, J. D. Bermudez, and R. Q. Feitosa

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2022, 713–719, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-713-2022,https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-713-2022, 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

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

MULTI-ATTENTION GHOSTNET FOR DEFORESTATION DETECTION IN THE AMAZON RAINFOREST

M. X. Ortega Adarme, G. A. O. P. Costa, and R. Q. Feitosa

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2022, 657–664, https://doi.org/10.5194/isprs-annals-V-3-2022-657-2022,https://doi.org/10.5194/isprs-annals-V-3-2022-657-2022, 2022

DEFORESTATION DETECTION IN THE AMAZON RAINFOREST WITH SPATIAL AND CHANNEL ATTENTION MECHANISMS

P. Tovar, M. O. Adarme, and R. Q. Feitosa

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2021, 851–858, https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-851-2021,https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-851-2021, 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

LARGE SCALE SEMANTIC SEGMENTATION OF VIRTUAL ENVIRONMENTS TO FACILITATE CORROSION MANAGEMENT

R. L. Garcia, P. N. Happ, and R. Q. Feitosa

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2021, 465–470, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-465-2021,https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-465-2021, 2021

TOWARDS LIFELONG CROP RECOGNITION USING FULLY CONVOLUTIONAL RECURRENT NETWORKS AND SAR IMAGE SEQUENCES

J. A. Chamorro, R. Q. Feitosa, P. N. Happ, and J. D. Bermudez

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2021, 923–929, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-923-2021,https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-923-2021, 2021

TLS AND SHORT-RANGE PHOTOGRAMMETRIC DATA FUSION FOR BUILDINGS 3D MODELING

P. R. S. Ruiz, C. M. Almeida, M. B. Schimalski, V. Liesenberg, and E. A. Mitishita

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2021, 279–284, https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-279-2021,https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-279-2021, 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

ADAPTIVE WEIGHTING OF IMAGE OBSERVATIONS FOR SELF-CALIBRATION WITH FISHEYE IMAGES

L. F. Castanheiro, A. M. G. Tommaselli, M. B. Campos, and A. Berveglieri

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-1-2021, 81–87, https://doi.org/10.5194/isprs-annals-V-1-2021-81-2021,https://doi.org/10.5194/isprs-annals-V-1-2021-81-2021, 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

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

A FAST APPROACH FOR THE LOG-CUMULANTS METHOD APPLIED TO INTENSITY SAR IMAGE PROCESSING

F. A. A. Rodrigues, J. S. Nobre, R. Vigélis, V. Liesenberg, R. C. P. Marques, and F. N. S. Medeiros

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W12-2020, 499–503, https://doi.org/10.5194/isprs-archives-XLII-3-W12-2020-499-2020,https://doi.org/10.5194/isprs-archives-XLII-3-W12-2020-499-2020, 2020

3D RECONSTRUCTION OF CITRUS TREES USING AN OMNIDIRECTIONAL OPTICAL SYSTEM

L. F. Castanheiro, A. M. G. Tommaselli, M. B. Campos, A. Berveglieri, and G. Santos

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W12-2020, 7–12, https://doi.org/10.5194/isprs-archives-XLII-3-W12-2020-7-2020,https://doi.org/10.5194/isprs-archives-XLII-3-W12-2020-7-2020, 2020

SPECTRAL DIFFERENCES OF TREE SPECIES BELONGING TO ATLANTIC FOREST OBTAINED FROM UAV HYPERSPECTRAL IMAGES

G. T. Miyoshi, N. N. Imai, A. M. G. Tommaselli, and E. Honkavaara

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W12-2020, 49–54, https://doi.org/10.5194/isprs-archives-XLII-3-W12-2020-49-2020,https://doi.org/10.5194/isprs-archives-XLII-3-W12-2020-49-2020, 2020

FCRN-BASED MULTI-TASK LEARNING FOR AUTOMATIC CITRUS TREE DETECTION FROM UAV IMAGES

L. E. C. La Rosa, M. Zortea, B. H. Gemignani, D. A. B. Oliveira, and R. Q. Feitosa

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-3-W2-2020, 65–70, https://doi.org/10.5194/isprs-annals-IV-3-W2-2020-65-2020,https://doi.org/10.5194/isprs-annals-IV-3-W2-2020-65-2020, 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

GEOMETRIC PERFORMANCE OF A CAMERA WITH SINGLE SENSOR AND MULTIPLE HEADS

A. M. G. Tommaselli, A. Berveglieri, N. N. Imai, G. H. Santos, E. A. S. Moriya, F. S. Y. Watanabe, and L. Salvador Neto

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2020, 389–396, https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-389-2020,https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-389-2020, 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

TIE POINT GENERATION IN HYPERSPECTRAL CUBES FOR ORIENTATION WITH POLYNOMIAL MODELS

A. Berveglieri, A. M. G. Tommaselli, and L. D. Santos

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W18, 7–12, https://doi.org/10.5194/isprs-archives-XLII-2-W18-7-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W18-7-2019, 2019

A FEASIBILITY STUDY ON INCREMENTAL BUNDLE ADJUSTMENT WITH FISHEYE IMAGES AND LOW-COST SENSORS

A. M. G. Tommaselli, M. B. Campos, L. F. Castanheiro, and E. Honkavaara

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W18, 167–171, https://doi.org/10.5194/isprs-archives-XLII-2-W18-167-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W18-167-2019, 2019

MAPPING GLACIER CHANGES USING CLUSTERING TECHNIQUES ON CLOUD COMPUTING INFRASTRUCTURE

V. Ayma, C. Beltrán, P. N. Happ, G. A. O. P. Costa, and R. Q. Feitosa

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W16, 29–34, https://doi.org/10.5194/isprs-archives-XLII-2-W16-29-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W16-29-2019, 2019

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

A MANY-TO-MANY FULLY CONVOLUTIONAL RECURRENT NETWORK FOR MULTITEMPORAL CROP RECOGNITION

J. A. Chamorro, J. D. Bermudez, P. N. Happ, and R. Q. Feitosa

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W7, 25–32, https://doi.org/10.5194/isprs-annals-IV-2-W7-25-2019,https://doi.org/10.5194/isprs-annals-IV-2-W7-25-2019, 2019

EVALUATION OF DEEP LEARNING TECHNIQUES FOR DEFORESTATION DETECTION IN THE AMAZON FOREST

M. X. Ortega, J. D. Bermudez, P. N. Happ, A. Gomes, and R. Q. Feitosa

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W7, 121–128, https://doi.org/10.5194/isprs-annals-IV-2-W7-121-2019,https://doi.org/10.5194/isprs-annals-IV-2-W7-121-2019, 2019

A COMPARATIVE ANALYSIS OF UNSUPERVISED AND SEMI-SUPERVISED REPRESENTATION LEARNING FOR REMOTE SENSING IMAGE CATEGORIZATION

P. J. Soto, J. D. Bermudez, P. N. Happ, and R. Q. Feitosa

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W7, 167–173, https://doi.org/10.5194/isprs-annals-IV-2-W7-167-2019,https://doi.org/10.5194/isprs-annals-IV-2-W7-167-2019, 2019

PERFORMANCE EVALUATION OF SEQUENTIAL BAND ORIENTATION BY POLYNOMIAL MODELS IN HYPERSPECTRAL CUBES COLLECTED WITH UAV

A. Berveglieri, A. M. G. Tommaselli, G. Santos, L. D. Santos, and E. Honkavaara

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 1625–1629, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1625-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W13-1625-2019, 2019

COMPARISON OF PIXEL AND REGION-BASED APPROACHES FOR TREE SPECIES MAPPING IN ATLANTIC FOREST USING HYPERSPECTRAL IMAGES ACQUIRED BY UAV

G. T. Miyoshi, N. N. Imai, A. M. G. Tommaselli, and E. Honkavaara

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 1875–1880, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1875-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W13-1875-2019, 2019

DETECTING CITRUS HUANGLONGBING IN BRAZILIAN ORCHARDS USING HYPERSPECTRAL AERIAL IMAGES

É. A. S. Moriya, N. N. Imai, A. M. G. Tommaselli, A. Berveglieri, E. Honkavaara, M. A. Soares, and M. Marino

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 1881–1886, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1881-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W13-1881-2019, 2019

SHADOW DETECTION IN HYPERSPECTRAL IMAGES ACQUIRED BY UAV

N. N. Imai, A. M. G. Tommaselli, A. Berveglieri, and E. A. S. Moriya

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 371–377, https://doi.org/10.5194/isprs-archives-XLII-2-W13-371-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W13-371-2019, 2019

EVALUATION OF MULTIPLE LINEAR REGRESSION MODEL TO OBTAIN DBH OF TREES USING DATA FROM A LIGHTWEIGHT LASER SCANNING SYSTEM ON-BOARD A UAV

M. V. Machado, A. M. G. Tommaselli, V. M. Tachibana, R. P. Martins-Neto, and M. B. Campos

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 449–454, https://doi.org/10.5194/isprs-archives-XLII-2-W13-449-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W13-449-2019, 2019

SAR TO OPTICAL IMAGE SYNTHESIS FOR CLOUD REMOVAL WITH GENERATIVE ADVERSARIAL NETWORKS

J. D. Bermudez, P. N. Happ, D. A. B. Oliveira, and R. Q. Feitosa

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-1, 5–11, https://doi.org/10.5194/isprs-annals-IV-1-5-2018,https://doi.org/10.5194/isprs-annals-IV-1-5-2018, 2018

IMPACT OF REDUCTION OF RADIOMETRIC RESOLUTION IN HYPERSPECTRAL IMAGES ACQUIRED OVER FOREST FIELD

G. T. Miyoshi, N. N. Imai, A. M. G. Tommaselli, and E. Honkavaara

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1, 301–305, https://doi.org/10.5194/isprs-archives-XLII-1-301-2018,https://doi.org/10.5194/isprs-archives-XLII-1-301-2018, 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

A STUDY ON THE VARIATIONS OF INNER ORIENTATION PARAMETERS OF A HYPERSPECTRAL FRAME CAMERA

A. M. G. Tommaselli, L. D. Santos, A. Berveglieri, R. A. Oliveira, and E. Honkavaara

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1, 429–436, https://doi.org/10.5194/isprs-archives-XLII-1-429-2018,https://doi.org/10.5194/isprs-archives-XLII-1-429-2018, 2018

Estimating aboveground carbon density and its uncertainty in Borneo's structurally complex tropical forests using airborne laser scanning

Tommaso Jucker, Gregory P. Asner, Michele Dalponte, Philip G. Brodrick, Christopher D. Philipson, Nicholas R. Vaughn, Yit Arn Teh, Craig Brelsford, David F. R. P. Burslem, Nicolas J. Deere, Robert M. Ewers, Jakub Kvasnica, Simon L. Lewis, Yadvinder Malhi, Sol Milne, Reuben Nilus, Marion Pfeifer, Oliver L. Phillips, Lan Qie, Nathan Renneboog, Glen Reynolds, Terhi Riutta, Matthew J. Struebig, Martin Svátek, Edgar C. Turner, and David A. Coomes

Biogeosciences, 15, 3811–3830, https://doi.org/10.5194/bg-15-3811-2018,https://doi.org/10.5194/bg-15-3811-2018, 2018

Short summary

UAV-BASED PHOTOGRAMMETRIC POINT CLOUDS AND HYPERSPECTRAL IMAGING FOR MAPPING BIODIVERSITY INDICATORS IN BOREAL FORESTS

N. Saarinen, M. Vastaranta, R. Näsi, T. Rosnell, T. Hakala, E. Honkavaara, M. A. Wulder, V. Luoma, A. M. G. Tommaselli, N. N. Imai, E. A. W. Ribeiro, R. B. Guimarães, M. Holopainen, and J. Hyyppä

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W3, 171–175, https://doi.org/10.5194/isprs-archives-XLII-3-W3-171-2017,https://doi.org/10.5194/isprs-archives-XLII-3-W3-171-2017, 2017

ESTIMATING EXTERIOR ORIENTATION PARAMETERS OF HYPERSPECTRAL BANDS BASED ON POLYNOMIAL MODELS

A. Berveglieri, A. M. G. Tommaselli, and E. Honkavaara

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W3, 19–25, https://doi.org/10.5194/isprs-archives-XLII-3-W3-19-2017,https://doi.org/10.5194/isprs-archives-XLII-3-W3-19-2017, 2017

ANALYSIS OF THE RADIOMETRIC RESPONSE OF ORANGE TREE CROWN IN HYPERSPECTRAL UAV IMAGES

N. N. Imai, E. A. S. Moriya, E. Honkavaara, G. T. Miyoshi, M. V. A. de Moraes, A. M. G. Tommaselli, and R. Näsi

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W3, 73–79, https://doi.org/10.5194/isprs-archives-XLII-3-W3-73-2017,https://doi.org/10.5194/isprs-archives-XLII-3-W3-73-2017, 2017

TIME SERIES OF IMAGES TO IMPROVE TREE SPECIES CLASSIFICATION

G. T. Miyoshi, N. N. Imai, M. V. A. de Moraes, A. M. G. Tommaselli, and R. Näsi

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W3, 123–128, https://doi.org/10.5194/isprs-archives-XLII-3-W3-123-2017,https://doi.org/10.5194/isprs-archives-XLII-3-W3-123-2017, 2017

A METHOD TO ESTIMATE TEMPORAL INTERACTION IN A CONDITIONAL RANDOM FIELD BASED APPROACH FOR CROP RECOGNITION

P. M. A. Diaz, R. Q. Feitosa, I. D. Sanches, and G. A. O. P. Costa

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B7, 205–211, https://doi.org/10.5194/isprs-archives-XLI-B7-205-2016,https://doi.org/10.5194/isprs-archives-XLI-B7-205-2016, 2016

GEOMETRIC AND REFLECTANCE SIGNATURE CHARACTERIZATION OF COMPLEX CANOPIES USING HYPERSPECTRAL STEREOSCOPIC IMAGES FROM UAV AND TERRESTRIAL PLATFORMS

E. Honkavaara, T. Hakala, O. Nevalainen, N. Viljanen, T. Rosnell, E. Khoramshahi, R. Näsi, R. Oliveira, and A. Tommaselli

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B7, 77–82, https://doi.org/10.5194/isprs-archives-XLI-B7-77-2016,https://doi.org/10.5194/isprs-archives-XLI-B7-77-2016, 2016

A LIGHT-WEIGHT LASER SCANNER FOR UAV APPLICATIONS

A. M. G. Tommaselli and F. M. Torres

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B1, 711–715, https://doi.org/10.5194/isprs-archives-XLI-B1-711-2016,https://doi.org/10.5194/isprs-archives-XLI-B1-711-2016, 2016

EXTERIOR ORIENTATION OF HYPERSPECTRAL FRAME IMAGES COLLECTED WITH UAV FOR FOREST APPLICATIONS

A. Berveglieri and A. M. G. Tommaselli

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-3-W4, 45–50, https://doi.org/10.5194/isprs-archives-XL-3-W4-45-2016,https://doi.org/10.5194/isprs-archives-XL-3-W4-45-2016, 2016

ORIENTATION AND CALIBRATION REQUIREMENTS FOR HYPERPECTRAL IMAGING USING UAVs: A CASE STUDY

A. M. G. Tommaselli, A. Berveglieri, R. A. Oliveira, L. Y. Nagai, and E. Honkavaara

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-3-W4, 109–115, https://doi.org/10.5194/isprs-archives-XL-3-W4-109-2016,https://doi.org/10.5194/isprs-archives-XL-3-W4-109-2016, 2016

EVALUATING A CONVOLUTIONAL NEURAL NETWORK FOR FEATURE EXTRACTION AND TREE SPECIES CLASSIFICATION USING UAV-HYPERSPECTRAL IMAGES

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