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

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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