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04 Nov 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
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Filtering Keypoints with ORB Features
Thaisa Aline Correia Garcia, Antonio Maria Garcia Tommaselli, Letícia Ferrrari Castanheiro, and Mariana Batista Campos
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-3-2024, 177–182, https://doi.org/10.5194/isprs-archives-XLVIII-3-2024-177-2024,https://doi.org/10.5194/isprs-archives-XLVIII-3-2024-177-2024, 2024
Large-Area UAS-Based Forest Health Monitoring Utilizing a Hydrogen-Powered Airship and Multispectral Imaging
Emma Turkulainen, Janne Hietala, Jiri Jormakka, Johanna Tuviala, Raquel Alves de Oliveira, Niko Koivumäki, Kirsi Karila, Roope Näsi, Juha Suomalainen, Mikko Pelto-Arvo, Päivi Lyytikäinen-Saarenmaa, and Eija Honkavaara
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-3-2024, 559–564, https://doi.org/10.5194/isprs-archives-XLVIII-3-2024-559-2024,https://doi.org/10.5194/isprs-archives-XLVIII-3-2024-559-2024, 2024
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
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
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
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
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
Autonomous robotic drone system for mapping forest interiors
Väinö Karjalainen, Niko Koivumäki, Teemu Hakala, Anand George, Jesse Muhojoki, Eric Hyyppa, Juha Suomalainen, and Eija Honkavaara
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-2024, 167–172, https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-167-2024,https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-167-2024, 2024
COMBINING YOLO V5 AND TRANSFER LEARNING FOR SMOKE-BASED WILDFIRE DETECTION IN BOREAL FORESTS
A.-M. Raita-Hakola, S. Rahkonen, J. Suomalainen, L. Markelin, R. Oliveira, T. Hakala, N. Koivumäki, E. Honkavaara, and I. Pölönen
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W2-2023, 1771–1778, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1771-2023,https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1771-2023, 2023
HYPERSPECTRAL UAS IMAGERY FOR GRASS SWARDS BIOMASS AND NITROGEN ESTIMATION
R. A. Oliveira, R. Näsi, P. Korhonen, A. Mustonen, O. Niemeläinen, N. Koivumäki, T. Hakala, J. Suomalainen, J. Kaivosoja, and E. Honkavaara
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W2-2023, 1861–1866, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1861-2023,https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1861-2023, 2023
A DRONE SYSTEM FOR AUTONOMOUS MAPPING FLIGHTS INSIDE A FOREST – A FEASIBILITY STUDY AND FIRST RESULTS
V. Karjalainen, T. Hakala, A. George, N. Koivumäki, J. Suomalainen, and E. Honkavaara
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W2-2023, 597–603, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-597-2023,https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-597-2023, 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
TILT CORRECTION OF ONBOARD DRONE IRRADIANCE MEASUREMENTS – EVALUATION OF HYPERSPECTRAL METHODS
J. Suomalainen, R. A. Oliveira, T. Hakala, N. Koivumäki, L. Markelin, R. Näsi, and E. Honkavaara
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2022, 67–72, https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-67-2022,https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-67-2022, 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
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
USING MULTITEMPORAL HYPER- AND MULTISPECTRAL UAV IMAGING FOR DETECTING BARK BEETLE INFESTATION ON NORWAY SPRUCE
E. Honkavaara, R. Näsi, R. Oliveira, N. Viljanen, J. Suomalainen, E. Khoramshahi, T. Hakala, O. Nevalainen, L. Markelin, M. Vuorinen, V. Kankaanhuhta, P. Lyytikäinen-Saarenmaa, and L. Haataja
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2020, 429–434, https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-429-2020,https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-429-2020, 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
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
PREFACE – ISPRS WORKSHOP HYPERSPECTRAL SENSING MEETS MACHINE LEARNING AND PATTERN ANALYSIS (HYPERMLPA 2019)
M. Weinmann, R. Müller, R. Reulke, E. Honkavaara, D. Tuia, and S. Keller
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 1825–1826, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1825-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W13-1825-2019, 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
ASSESSMENT OF RGB AND HYPERSPECTRAL UAV REMOTE SENSING FOR GRASS QUANTITY AND QUALITY ESTIMATION
R. A. Oliveira, R. Näsi, O. Niemeläinen, L. Nyholm, K. Alhonoja, J. Kaivosoja, N. Viljanen, T. Hakala, S. Nezami, L. Markelin, L. Jauhiainen, and E. Honkavaara
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 489–494, https://doi.org/10.5194/isprs-archives-XLII-2-W13-489-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W13-489-2019, 2019
PREFACE – HYPERSPECTRAL SENSING MEETS MACHINE LEARNING AND PATTERN ANALYSIS (HYPERMLPA 2019)
M. Weinmann, R. Müller, R. Reulke, E. Honkavaara, D. Tuia, and S. Keller
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W5, 607–608, https://doi.org/10.5194/isprs-annals-IV-2-W5-607-2019,https://doi.org/10.5194/isprs-annals-IV-2-W5-607-2019, 2019
METHODOLOGY FOR DIRECT REFLECTANCE MEASUREMENT FROM A DRONE: SYSTEM DESCRIPTION, RADIOMETRIC CALIBRATION AND LATEST RESULTS
L. Markelin, J. Suomalainen, T. Hakala, R. A. Oliveira, N. Viljanen, R. Näsi, B. Scott, T. Theocharous, C. Greenwell, N. Fox, and E. Honkavaara
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1, 283–288, https://doi.org/10.5194/isprs-archives-XLII-1-283-2018,https://doi.org/10.5194/isprs-archives-XLII-1-283-2018, 2018
VARIABILITY OF REMOTE SENSING SPECTRAL INDICES IN BOREAL LAKE BASINS
T. Hakala, I. Pölönen, E. Honkavaara, R. Näsi, T. Hakala, and A. Lindfors
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 411–417, https://doi.org/10.5194/isprs-archives-XLII-2-411-2018,https://doi.org/10.5194/isprs-archives-XLII-2-411-2018, 2018
REAL-TIME AND POST-PROCESSED GEOREFERENCING FOR HYPERPSPECTRAL DRONE REMOTE SENSING
R. A. Oliveira, E. Khoramshahi, J. Suomalainen, T. Hakala, N. Viljanen, and E. Honkavaara
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 789–795, https://doi.org/10.5194/isprs-archives-XLII-2-789-2018,https://doi.org/10.5194/isprs-archives-XLII-2-789-2018, 2018
OPTIMIZING RADIOMETRIC PROCESSING AND FEATURE EXTRACTION OF DRONE BASED HYPERSPECTRAL FRAME FORMAT IMAGERY FOR ESTIMATION OF YIELD QUANTITY AND QUALITY OF A GRASS SWARD
R. Näsi, N. Viljanen, R. Oliveira, J. Kaivosoja, O. Niemeläinen, T. Hakala, L. Markelin, S. Nezami, J. Suomalainen, and E. Honkavaara
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 1305–1310, https://doi.org/10.5194/isprs-archives-XLII-3-1305-2018,https://doi.org/10.5194/isprs-archives-XLII-3-1305-2018, 2018
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
TREE SPECIES RECOGNITION IN SPECIES RICH AREA USING UAV-BORNE HYPERSPECTRAL IMAGERY AND STEREO-PHOTOGRAMMETRIC POINT CLOUD
S. Tuominen, R. Näsi, E. Honkavaara, A. Balazs, T. Hakala, N. Viljanen, I. Pölönen, H. Saari, and J. Reinikainen
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W3, 185–194, https://doi.org/10.5194/isprs-archives-XLII-3-W3-185-2017,https://doi.org/10.5194/isprs-archives-XLII-3-W3-185-2017, 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
UPSCALING OF SOLAR INDUCED CHLOROPHYLL FLUORESCENCE FROM LEAF TO CANOPY USING THE DART MODEL AND A REALISTIC 3D FOREST SCENE
W. Liu, J. Atherton, M. Mõttus, A. MacArthur, H. Teemu, K. Maseyk, I. Robinson, E. Honkavaara, and A. Porcar-Castell
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W3, 107–111, https://doi.org/10.5194/isprs-archives-XLII-3-W3-107-2017,https://doi.org/10.5194/isprs-archives-XLII-3-W3-107-2017, 2017
RADIOMETRIC CORRECTION OF MULTITEMPORAL HYPERSPECTRAL UAS IMAGE MOSAICS OF SEEDLING STANDS
L. Markelin, E. Honkavaara, R. Näsi, N. Viljanen, T. Rosnell, T. Hakala, M. Vastaranta, T. Koivisto, and M. Holopainen
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W3, 113–118, https://doi.org/10.5194/isprs-archives-XLII-3-W3-113-2017,https://doi.org/10.5194/isprs-archives-XLII-3-W3-113-2017, 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
ASSESSMENT OF VARIOUS REMOTE SENSING TECHNOLOGIES IN BIOMASS AND NITROGEN CONTENT ESTIMATION USING AN AGRICULTURAL TEST FIELD
R. Näsi, N. Viljanen, J. Kaivosoja, T. Hakala, M. Pandžić, L. Markelin, and E. Honkavaara
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W3, 137–141, https://doi.org/10.5194/isprs-archives-XLII-3-W3-137-2017,https://doi.org/10.5194/isprs-archives-XLII-3-W3-137-2017, 2017
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