SEEING AMONG FOLIAGE WITH LIDAR AND MACHINE LEARNING: TOWARDS A TRANSFERABLE ARCHAEOLOGICAL PIPELINE

Mazzacca, G.; Grilli, E.; Cirigliano, G. P.; Remondino, F.; Campana, S.

doi:https://doi.org/10.5194/isprs-archives-XLVI-2-W1-2022-365-2022

Co-registering Laser Scanning Point Clouds and Photogrammetric Images with Deep Learning Multi-Modal Matching

Luca Morelli, Giulio Perda, Francesco Ioli, Paweł Trybała, Andrea Sterpin, Simone Rigon, Neil Sutherland, Marco Medici, Fabio Remondino, and Alfonso Vitti

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W8-2024, 335–342, https://doi.org/10.5194/isprs-archives-XLVIII-2-W8-2024-335-2024,https://doi.org/10.5194/isprs-archives-XLVIII-2-W8-2024-335-2024, 2024

BIM Module for Deep Learning-driven parametric IFC reconstruction

Oscar Roman, Maarten Bassier, Sam De Geyter, Heinder De Winter, Elisa Mariarosaria Farella, and Fabio Remondino

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W8-2024, 403–410, https://doi.org/10.5194/isprs-archives-XLVIII-2-W8-2024-403-2024,https://doi.org/10.5194/isprs-archives-XLVIII-2-W8-2024-403-2024, 2024

3D Geometric Assessment of a Commercial RTK/PPP Visual Positioning Mobile Sensor

Maria Valasia Peppa, Luca Morelli, Fabio Remondino, and Jon P. Mills

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W7-2024, 97–104, https://doi.org/10.5194/isprs-archives-XLVIII-2-W7-2024-97-2024,https://doi.org/10.5194/isprs-archives-XLVIII-2-W7-2024-97-2024, 2024

Analyzing Target-, Handcrafted- and Learning-Based Methods for Automated 3D Measurement and Modelling

Giulio Perda, Luca Morelli, Fabio Remondino, Clive Fraser, and Thomas Luhmann

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W7-2024, 105–112, https://doi.org/10.5194/isprs-archives-XLVIII-2-W7-2024-105-2024,https://doi.org/10.5194/isprs-archives-XLVIII-2-W7-2024-105-2024, 2024

Towards Automated BIM and BEM Model Generation using a B-Rep-based Method with Topological Map

Oscar Roman, Gabriele Mazzacca, Elisa Mariarosaria Farella, Fabio Remondino, Maarten Bassier, and Giorgio Agugiaro

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-4-2024, 287–294, https://doi.org/10.5194/isprs-annals-X-4-2024-287-2024,https://doi.org/10.5194/isprs-annals-X-4-2024-287-2024, 2024

ESTATE: A Large Dataset of Under-Represented Urban Objects for 3D Point Cloud Classification

Onur Can Bayrak, Zhenyu Ma, Elisa Mariarosaria Farella, Fabio Remondino, and Melis Uzar

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-2024, 25–32, https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-25-2024,https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-25-2024, 2024

Separate and Integrated Data Processing for the 3D Reconstruction of a Complex Architecture

Marco Medici, Giulio Perda, Andrea Sterpin, Elisa Mariarosaria Farella, Stefano Settimo, and Fabio Remondino

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-2024, 249–256, https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-249-2024,https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-249-2024, 2024

The Legacy of Sycamore Gap: The Potential of Photogrammetric AI for Reverse Engineering Lost Heritage with Crowdsourced Data

Luca Morelli, Gabriele Mazzacca, Pawel Trybała, Federica Gaspari, Francesco Ioli, Zhenyu Ma, Fabio Remondino, Keith Challis, Andrew Poad, Alex Turner, and Jon P. Mills

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-2024, 281–288, https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-281-2024,https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-281-2024, 2024

Towards Estimation of 3D Poses and Shapes of Animals from Oblique Drone Imagery

Vandita Shukla, Luca Morelli, Fabio Remondino, Andrea Micheli, Devis Tuia, and Benjamin Risse

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-2024, 379–386, https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-379-2024,https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-379-2024, 2024

Evaluating Learning-based Tie Point Matching for Geometric Processing of Off-Track Satellite Stereo

Shuang Song, Luca Morelli, Xinyi Wu, Rongjun Qin, Hessah Albanwan, and Fabio Remondino

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-2024, 393–400, https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-393-2024,https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-393-2024, 2024

Optimizing Mining Ventilation Using 3D Technologies

Paweł Trybała, Simone Rigon, Fabio Remondino, Aleksandra Banasiewicz, Adam Wróblewski, Arkadiusz Macek, Paulina Kujawa, Kinga Romańczukiewicz, Carlos Redondo, and Fran Espada

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-2024, 427–434, https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-427-2024,https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-427-2024, 2024

A SCALABLE APPROACH FOR AUTOMATING SCAN-TO-BIM PROCESSES IN THE HERITAGE FIELD

M. Avena, G. Patrucco, F. Remondino, and A. Spanò

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W4-2024, 25–31, https://doi.org/10.5194/isprs-archives-XLVIII-2-W4-2024-25-2024,https://doi.org/10.5194/isprs-archives-XLVIII-2-W4-2024-25-2024, 2024

COMBINING IMAGE AND POINT CLOUD SEGMENTATION TO IMPROVE HERITAGE UNDERSTANDING

M. Bassier, G. Mazzacca, R. Battisti, S. Malek, and F. Remondino

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W4-2024, 49–56, https://doi.org/10.5194/isprs-archives-XLVIII-2-W4-2024-49-2024,https://doi.org/10.5194/isprs-archives-XLVIII-2-W4-2024-49-2024, 2024

TOWARDS AUTOMATIC DEFECTS ANALYSES FOR 3D STRUCTURAL MONITORING OF HISTORIC TIMBER

M. Chizhova, J. Pan, T. Luhmann, A. Karami, F. Menna, F. Remondino, M. Hess, and T. Eißing

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W4-2024, 103–110, https://doi.org/10.5194/isprs-archives-XLVIII-2-W4-2024-103-2024,https://doi.org/10.5194/isprs-archives-XLVIII-2-W4-2024-103-2024, 2024

DIMENSIONAL DISCOVERIES: UNVEILING THE POTENTIAL OF 3D HERITAGE POINT CLOUDS WITH A ROBUST ONTOLOGY FRAMEWORK

M. Codiglione, G. Mazzacca, and F. Remondino

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W4-2024, 119–125, https://doi.org/10.5194/isprs-archives-XLVIII-2-W4-2024-119-2024,https://doi.org/10.5194/isprs-archives-XLVIII-2-W4-2024-119-2024, 2024

V-SLAM-AIDED PHOTOGRAMMETRY TO PROCESS FISHEYE MULTI-CAMERA SYSTEMS SEQUENCES

A. Elalailyi, L. Perfetti, F. Fassi, and F. Remondino

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W4-2024, 189–195, https://doi.org/10.5194/isprs-archives-XLVIII-2-W4-2024-189-2024,https://doi.org/10.5194/isprs-archives-XLVIII-2-W4-2024-189-2024, 2024

METHODS, DATA AND TOOLS FOR FACILITATING A 3D CULTURAL HERITAGE SPACE

E. M. Farella, S. Rigon, F. Remondino, A. Stan, G. Ioannidis, S. Münster, M. Medici, F. Maietti, and A. Sánchez

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W4-2024, 197–204, https://doi.org/10.5194/isprs-archives-XLVIII-2-W4-2024-197-2024,https://doi.org/10.5194/isprs-archives-XLVIII-2-W4-2024-197-2024, 2024

DEEP-IMAGE-MATCHING: A TOOLBOX FOR MULTIVIEW IMAGE MATCHING OF COMPLEX SCENARIOS

L. Morelli, F. Ioli, F. Maiwald, G. Mazzacca, F. Menna, and F. Remondino

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W4-2024, 309–316, https://doi.org/10.5194/isprs-archives-XLVIII-2-W4-2024-309-2024,https://doi.org/10.5194/isprs-archives-XLVIII-2-W4-2024-309-2024, 2024

BEYOND GROUND CONTROL POINTS: COST-EFFECTIVE 3D BUILDING RECONSTRUCTION THROUGH GNSS-INTEGRATED PHOTOGRAMMETRY

E. Oniga, B. Boroianu, L. Morelli, F. Remondino, and M. Macovei

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W4-2024, 333–339, https://doi.org/10.5194/isprs-archives-XLVIII-2-W4-2024-333-2024,https://doi.org/10.5194/isprs-archives-XLVIII-2-W4-2024-333-2024, 2024

MULTI-MODAL/MULTI-RESOLUTION 3D DATA ACQUISITION AND PROCESSING FOR A NEW UNDERSTANDING OF THE HISTORICAL CITY OF SIENA (ITALY)

R. Pansini, S. Guzel, G. Morelli, F. Barsuglia, G. Penno, G. Catanzariti, A. Merico, M. G. Carpentiero, S. Camporeale, and S. Campana

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W4-2024, 341–347, https://doi.org/10.5194/isprs-archives-XLVIII-2-W4-2024-341-2024,https://doi.org/10.5194/isprs-archives-XLVIII-2-W4-2024-341-2024, 2024

AN INNOVATIVE APPROACH FOR THE SEMANTIC SEGMENTATION OF SURVEYED BUILDING FACADES LEVERAGING ON ARCHITECTURAL DRAWINGS

M. B. Trivi, G. Mazzacca, M. Griffo, S. Malek, R. Battisti, F. Remondino, C. Bianchini, and E. Chiavoni

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W4-2024, 445–451, https://doi.org/10.5194/isprs-archives-XLVIII-2-W4-2024-445-2024,https://doi.org/10.5194/isprs-archives-XLVIII-2-W4-2024-445-2024, 2024

HYBRID ADJUSTMENT OF UAS-BASED LiDAR AND IMAGE DATA

Y. Yadav, B. Alsadik, F. Nex, F. Remondino, and P. Glira

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W2-2023, 633–640, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-633-2023,https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-633-2023, 2023

BENCHMARKING COLLABORATIVE POSITIONING AND NAVIGATION BETWEEN GROUND AND UAS PLATFORMS

A. Masiero, L. Morelli, C. Toth, and F. Remondino

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W2-2023, 1127–1133, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1127-2023,https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1127-2023, 2023

A NEW DATASET AND METHODOLOGY FOR URBAN-SCALE 3D POINT CLOUD CLASSIFICATION

O. C. Bayrak, F. Remondino, and M. Uzar

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W3-2023, 1–8, https://doi.org/10.5194/isprs-archives-XLVIII-1-W3-2023-1-2023,https://doi.org/10.5194/isprs-archives-XLVIII-1-W3-2023-1-2023, 2023

MULTI-MODAL GEOSPATIAL AND THEMATIC DATA TO FOSTER GREEN DEAL APPLICATIONS

R. Beber, G. Perda, N. Takhtkeshha, F. Remondino, T. Maffei, D. Poli, K. Moe, P. Cipriano, and M. Ciliberti

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W3-2023, 9–16, https://doi.org/10.5194/isprs-archives-XLVIII-1-W3-2023-9-2023,https://doi.org/10.5194/isprs-archives-XLVIII-1-W3-2023-9-2023, 2023

GEOMETRIC PROCESSING OF VERY HIGH-RESOLUTION SATELLITE IMAGERY: QUALITY ASSESSMENT FOR 3D MAPPING NEEDS

E. M. Farella, F. Remondino, C. Cahalane, R. Qin, A. M. Loghin, M. Di Tullio, N. Haala, and J. Mills

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W3-2023, 47–54, https://doi.org/10.5194/isprs-archives-XLVIII-1-W3-2023-47-2023,https://doi.org/10.5194/isprs-archives-XLVIII-1-W3-2023-47-2023, 2023

TERRESTRIAL 3D MAPPING OF FORESTS: GEOREFERENCING CHALLENGES AND SENSORS COMPARISONS

C. R. Fol, A. Murtiyoso, D. Kükenbrink, F. Remondino, and V. C. Griess

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W3-2023, 55–61, https://doi.org/10.5194/isprs-archives-XLVIII-1-W3-2023-55-2023,https://doi.org/10.5194/isprs-archives-XLVIII-1-W3-2023-55-2023, 2023

BENCHMARKING THE EXTRACTION OF 3D GEOMETRY FROM UAV IMAGES WITH DEEP LEARNING METHODS

F. Nex, N. Zhang, F. Remondino, E. M. Farella, R. Qin, and C. Zhang

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W3-2023, 123–130, https://doi.org/10.5194/isprs-archives-XLVIII-1-W3-2023-123-2023,https://doi.org/10.5194/isprs-archives-XLVIII-1-W3-2023-123-2023, 2023

EVALUATING MONOCULAR DEPTH ESTIMATION METHODS

N. Padkan, P. Trybala, R. Battisti, F. Remondino, and C. Bergeret

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W3-2023, 137–144, https://doi.org/10.5194/isprs-archives-XLVIII-1-W3-2023-137-2023,https://doi.org/10.5194/isprs-archives-XLVIII-1-W3-2023-137-2023, 2023

FROM 3D SURVEYING DATA TO BIM TO BEM: THE INCUBE DATASET

O. Roman, E. M. Farella, S. Rigon, F. Remondino, S. Ricciuti, and D. Viesi

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W3-2023, 175–182, https://doi.org/10.5194/isprs-archives-XLVIII-1-W3-2023-175-2023,https://doi.org/10.5194/isprs-archives-XLVIII-1-W3-2023-175-2023, 2023

DESIGNING AND EVALUATING A PORTABLE LIDAR-BASED SLAM SYSTEM

P. Trybała, P. Kujawa, K. Romańczukiewicz, A. Szrek, and F. Remondino

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W3-2023, 191–198, https://doi.org/10.5194/isprs-archives-XLVIII-1-W3-2023-191-2023,https://doi.org/10.5194/isprs-archives-XLVIII-1-W3-2023-191-2023, 2023

NERFBK: A HOLISTIC DATASET FOR BENCHMARKING NERF-BASED 3D RECONSTRUCTION

Z. Yan, G. Mazzacca, S. Rigon, E. M. Farella, P. Trybala, and F. Remondino

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W3-2023, 219–226, https://doi.org/10.5194/isprs-archives-XLVIII-1-W3-2023-219-2023,https://doi.org/10.5194/isprs-archives-XLVIII-1-W3-2023-219-2023, 2023

NERF FOR HERITAGE 3D RECONSTRUCTION

G. Mazzacca, A. Karami, S. Rigon, E. M. Farella, P. Trybala, and F. Remondino

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-M-2-2023, 1051–1058, https://doi.org/10.5194/isprs-archives-XLVIII-M-2-2023-1051-2023,https://doi.org/10.5194/isprs-archives-XLVIII-M-2-2023-1051-2023, 2023

A SEMI-AUTOMATED APPROACH TO MODEL ARCHITECTURAL ELEMENTS IN SCAN-TO-BIM PROCESSES

O. Roman, M. Avena, E. M. Farella, F. Remondino, and A. Spanò

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-M-2-2023, 1345–1352, https://doi.org/10.5194/isprs-archives-XLVIII-M-2-2023-1345-2023,https://doi.org/10.5194/isprs-archives-XLVIII-M-2-2023-1345-2023, 2023

ADVANCED 3D PARAMETRIC HISTORIC CITY BLOCK MODELING COMBINING 3D SURVEYING, AI AND VPL

F. M. La Russa, E. Grilli, F. Remondino, C. Santagati, and M. Intelisano

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-M-2-2023, 903–910, https://doi.org/10.5194/isprs-archives-XLVIII-M-2-2023-903-2023,https://doi.org/10.5194/isprs-archives-XLVIII-M-2-2023-903-2023, 2023

FROG: A PORTABLE UNDERWATER MOBILE MAPPING SYSTEM

F. Menna, R. Battisti, E. Nocerino, and F. Remondino

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W1-2023, 295–302, https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-295-2023,https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-295-2023, 2023

COLMAP-SLAM: A FRAMEWORK FOR VISUAL ODOMETRY

L. Morelli, F. Ioli, R. Beber, F. Menna, F. Remondino, and A. Vitti

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W1-2023, 317–324, https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-317-2023,https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-317-2023, 2023

PPK PROCESSING TO BOOST UAS ACCURACY IN CADASTRAL MAPPING

V. E. Oniga, L. Morelli, M. Macovei, C. Chirila, A. I. Breaban, F. Remondino, and P. Sestraș

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W1-2023, 345–352, https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-345-2023,https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-345-2023, 2023

DEEP LEARNING TO SUPPORT 3D MAPPING CAPABILITIES OF A PORTABLE VSLAM-BASED SYSTEM

N. Padkan, R. Battisti, F. Menna, and F. Remondino

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W1-2023, 363–370, https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-363-2023,https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-363-2023, 2023

COMPARISON OF LOW-COST HANDHELD LIDAR-BASED SLAM SYSTEMS FOR MAPPING UNDERGROUND TUNNELS

P. Trybała, D. Kasza, J. Wajs, and F. Remondino

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W1-2023, 517–524, https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-517-2023,https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-517-2023, 2023

FFT-BASED FILTERING APPROACH TO FUSE PHOTOGRAMMETRY AND PHOTOMETRIC STEREO 3D DATA

A. Karami, M. Varshosaz, F. Menna, F. Remondino, and T. Luhmann

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-4-W1-2022, 363–370, https://doi.org/10.5194/isprs-annals-X-4-W1-2022-363-2023,https://doi.org/10.5194/isprs-annals-X-4-W1-2022-363-2023, 2023

A MODULAR AND LOW-COST PORTABLE VSLAM SYSTEM FOR REAL-TIME 3D MAPPING: FROM INDOOR AND OUTDOOR SPACES TO UNDERWATER ENVIRONMENTS

F. Menna, A. Torresani, R. Battisti, E. Nocerino, and F. Remondino

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W1-2022, 153–162, https://doi.org/10.5194/isprs-archives-XLVIII-2-W1-2022-153-2022,https://doi.org/10.5194/isprs-archives-XLVIII-2-W1-2022-153-2022, 2022

PHOTOGRAMMETRY NOW AND THEN – FROM HAND-CRAFTED TO DEEP-LEARNING TIE POINTS –

L. Morelli, F. Bellavia, F. Menna, and F. Remondino

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W1-2022, 163–170, https://doi.org/10.5194/isprs-archives-XLVIII-2-W1-2022-163-2022,https://doi.org/10.5194/isprs-archives-XLVIII-2-W1-2022-163-2022, 2022

ACTION CAMS AND LOW-COST MULTI-FREQUENCY ANTENNAS FOR GNSS ASSISTED PHOTOGRAMMETRIC APPLICATIONS WITHOUT GROUND CONTROL POINTS

L. Morelli, F. Menna, A. Vitti, and F. Remondino

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W1-2022, 171–176, https://doi.org/10.5194/isprs-archives-XLVIII-2-W1-2022-171-2022,https://doi.org/10.5194/isprs-archives-XLVIII-2-W1-2022-171-2022, 2022

ORIENTATION OF IMAGES WITH LOW CONTRAST TEXTURES AND TRANSPARENT OBJECTS

L. Morelli, A. Karami, F. Menna, and F. Remondino

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W2-2022, 77–84, https://doi.org/10.5194/isprs-archives-XLVIII-2-W2-2022-77-2022,https://doi.org/10.5194/isprs-archives-XLVIII-2-W2-2022-77-2022, 2022

CALIBRATION OF A MULTI-SENSOR WHEELED ROBOT FOR THE 3D MAPPING OF UNDERGROUND MINING TUNNELS

P. Trybała, J. Szrek, F. Remondino, J. Wodecki, and R. Zimroz

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W2-2022, 135–142, https://doi.org/10.5194/isprs-archives-XLVIII-2-W2-2022-135-2022,https://doi.org/10.5194/isprs-archives-XLVIII-2-W2-2022-135-2022, 2022

kCV-B: BOOTSTRAP WITH CROSS-VALIDATION FOR DEEP LEARNING MODEL DEVELOPMENT, ASSESSMENT AND SELECTION

A. Nurunnabi, F. N. Teferle, D. F. Laefer, F. Remondino, I. R. Karas, and J. Li

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W3-2022, 111–118, https://doi.org/10.5194/isprs-archives-XLVIII-4-W3-2022-111-2022,https://doi.org/10.5194/isprs-archives-XLVIII-4-W3-2022-111-2022, 2022

COMBINING VISIBILITY ANALYSIS AND DEEP LEARNING FOR REFINEMENT OF SEMANTIC 3D BUILDING MODELS BY CONFLICT CLASSIFICATION

O. Wysocki, E. Grilli, L. Hoegner, and U. Stilla

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-4-W2-2022, 289–296, https://doi.org/10.5194/isprs-annals-X-4-W2-2022-289-2022,https://doi.org/10.5194/isprs-annals-X-4-W2-2022-289-2022, 2022

PREFACE: TECHNICAL COMMISSION II

A. Yilmaz, J. D. Wegner, R. Qin, F. Remondino, T. Fuse, and I. Toschi

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 7–7, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-7-2022,https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-7-2022, 2022

A NOVEL GEOMETRIC KEY-FRAME SELECTION METHOD FOR VISUAL-INERTIAL SLAM AND ODOMETRY SYSTEMS

A. Azimi, A. Hosseininaveh, and F. Remondino

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 9–14, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-9-2022,https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-9-2022, 2022

AERIAL TRIANGULATION WITH LEARNING-BASED TIE POINTS

F. Remondino, L. Morelli, E. Stathopoulou, M. Elhashash, and R. Qin

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 77–84, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-77-2022,https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-77-2022, 2022

MONOCULAR DEPTH PREDICTION IN PHOTOGRAMMETRIC APPLICATIONS

M. Welponer, E. K. Stathopoulou, and F. Remondino

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 469–476, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-469-2022,https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-469-2022, 2022

3D DIGITIZATION OF TRANSPARENT AND GLASS SURFACES: STATE OF THE ART AND ANALYSIS OF SOME METHODS

A. Karami, R. Battisti, F. Menna, and F. Remondino

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 695–702, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-695-2022,https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-695-2022, 2022

A COMBINED APPROACH FOR LONG-TERM MONITORING OF BENTHOS IN ANTARCTICA WITH UNDERWATER PHOTOGRAMMETRY AND IMAGE UNDERSTANDING

F. Menna, E. Nocerino, S. Malek, F. Remondino, and S. Schiaparelli

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 935–943, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-935-2022,https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-935-2022, 2022

THE EUROSDR TIME BENCHMARK FOR HISTORICAL AERIAL IMAGES

E. M. Farella, L. Morelli, F. Remondino, J. P. Mills, N. Haala, and J. Crompvoets

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 1175–1182, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-1175-2022,https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-1175-2022, 2022

HANDCRAFTED AND LEARNING-BASED TIE POINT FEATURES – COMPARISON USING THE EUROSDR RPAS BENCHMARK DATASET

M. V. Peppa, L. Morelli, J. P. Mills, N. T. Penna, and F. Remondino

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 1183–1190, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-1183-2022,https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-1183-2022, 2022

PREFACE: TECHNICAL COMMISSION II

A. Yilmaz, J. D. Wegner, R. Qin, F. Remondino, T. Fuse, and I. Toschi

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2022, 7–7, https://doi.org/10.5194/isprs-annals-V-2-2022-7-2022,https://doi.org/10.5194/isprs-annals-V-2-2022-7-2022, 2022

IMAGE ORIENTATION WITH A HYBRID PIPELINE ROBUST TO ROTATIONS AND WIDE-BASELINES

F. Bellavia, L. Morelli, F. Menna, and F. Remondino

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-2-W1-2022, 73–80, https://doi.org/10.5194/isprs-archives-XLVI-2-W1-2022-73-2022,https://doi.org/10.5194/isprs-archives-XLVI-2-W1-2022-73-2022, 2022

HANDLING CRITICAL ASPECTS IN MASSIVE PHOTOGRAMMETRIC DIGITIZATION OF MUSEUM ASSETS

E. M. Farella, L. Morelli, E. Grilli, S. Rigon, and F. Remondino

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-2-W1-2022, 215–222, https://doi.org/10.5194/isprs-archives-XLVI-2-W1-2022-215-2022,https://doi.org/10.5194/isprs-archives-XLVI-2-W1-2022-215-2022, 2022

GEOMETRIC PRIMITIVE EXTRACTION FROM SEMANTICALLY ENRICHED POINT CLOUDS

S. Kyriakaki-Grammatikaki, E. K. Stathopoulou, E. Grilli, F. Remondino, and A. Georgopoulos

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-2-W1-2022, 291–298, https://doi.org/10.5194/isprs-archives-XLVI-2-W1-2022-291-2022,https://doi.org/10.5194/isprs-archives-XLVI-2-W1-2022-291-2022, 2022

UNVEILING LARGE-SCALE HISTORICAL CONTENTS WITH V-SLAM AND MARKERLESS MOBILE AR SOLUTIONS

A. Torresani, S. Rigon, E. M. Farella, F. Menna, and F. Remondino

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-M-1-2021, 761–768, https://doi.org/10.5194/isprs-archives-XLVI-M-1-2021-761-2021,https://doi.org/10.5194/isprs-archives-XLVI-M-1-2021-761-2021, 2021

3D SURVEYING, SEMANTIC ENRICHMENT AND VIRTUAL ACCESS OF LARGE CULTURAL HERITAGE

S. Teruggi, E. Grilli, F. Fassi, and F. Remondino

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., VIII-M-1-2021, 155–162, https://doi.org/10.5194/isprs-annals-VIII-M-1-2021-155-2021,https://doi.org/10.5194/isprs-annals-VIII-M-1-2021-155-2021, 2021

PREFACE: TECHNICAL COMMISSION II

A. Yilmaz, J. D. Wegner, F. Remondino, T. Fuse, and I. Toschi

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2021, 7–7, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-7-2021,https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-7-2021, 2021

EXPLOITING MULTI-CAMERA CONSTRAINTS WITHIN BUNDLE BLOCK ADJUSTMENT: AN EXPERIMENTAL COMPARISON

E. Maset, E. Rupnik, M. Pierrot-Deseilligny, F. Remondino, and A. Fusiello

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2021, 33–38, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-33-2021,https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-33-2021, 2021

EVALUATING TIE POINTS DISTRIBUTION, MULTIPLICITY AND NUMBER ON THE ACCURACY OF UAV PHOTOGRAMMETRY BLOCKS

V. Mousavi, M. Varshosaz, and F. Remondino

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2021, 39–46, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-39-2021,https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-39-2021, 2021

ENHANCING GEOMETRIC EDGE DETAILS IN MVS RECONSTRUCTION

E. K. Stathopoulou, S. Rigon, R. Battisti, and F. Remondino

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2021, 391–398, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-391-2021,https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-391-2021, 2021

UNSUPERVISED OBJECT-BASED CLUSTERING IN SUPPORT OF SUPERVISED POINT-BASED 3D POINT CLOUD CLASSIFICATION

E. Grilli, F. Poux, and F. Remondino

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2021, 471–478, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-471-2021,https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-471-2021, 2021

INVESTIGATING 3D RECONSTRUCTION OF NON-COLLABORATIVE SURFACES THROUGH PHOTOGRAMMETRY AND PHOTOMETRIC STEREO

A. Karami, F. Menna, and F. Remondino

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2021, 519–526, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-519-2021,https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-519-2021, 2021

EVALUATING HAND-CRAFTED AND LEARNING-BASED FEATURES FOR PHOTOGRAMMETRIC APPLICATIONS

F. Remondino, F. Menna, and L. Morelli

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2021, 549–556, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-549-2021,https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-549-2021, 2021

ACCURATE SCALING AND LEVELLING IN UNDERWATER PHOTOGRAMMETRY WITH A PRESSURE SENSOR

F. Menna, E. Nocerino, B. Chemisky, F. Remondino, and P. Drap

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2021, 667–672, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-667-2021,https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-667-2021, 2021

PREFACE: TECHNICAL COMMISSION II

A. Yilmaz, J. D. Wegner, F. Remondino, T. Fuse, and I. Toschi

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2021, 7–7, https://doi.org/10.5194/isprs-annals-V-2-2021-7-2021,https://doi.org/10.5194/isprs-annals-V-2-2021-7-2021, 2021

PHOTOMATCH: AN OPEN-SOURCE MULTI-VIEW AND MULTI-MODAL FEATURE MATCHING TOOL FOR PHOTOGRAMMETRIC APPLICATIONS

D. González-Aguilera, E. Ruiz de Oña, L. López-Fernandez, E. M. Farella, E. K. Stathopoulou, I. Toschi, F. Remondino, P. Rodríguez-Gonzálvez, D. Hernández-López, A. Fusiello, and F. Nex

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B5-2020, 213–219, https://doi.org/10.5194/isprs-archives-XLIII-B5-2020-213-2020,https://doi.org/10.5194/isprs-archives-XLIII-B5-2020-213-2020, 2020

A BENCHMARK FOR LARGE-SCALE HERITAGE POINT CLOUD SEMANTIC SEGMENTATION

F. Matrone, A. Lingua, R. Pierdicca, E. S. Malinverni, M. Paolanti, E. Grilli, F. Remondino, A. Murtiyoso, and T. Landes

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 1419–1426, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-1419-2020,https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-1419-2020, 2020

PREFACE: TECHNICAL COMMISSION II

F. Remondino, T. Fuse, and I. Toschi

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 7–7, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-7-2020,https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-7-2020, 2020

WIRE STRUCTURE IMAGE-BASED 3D RECONSTRUCTION AIDED BY DEEP LEARNING

V. V. Kniaz, S. Y. Zheltov, F. Remondino, V. A. Knyaz, A. Bordodymov, and A. Gruen

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 435–441, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-435-2020,https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-435-2020, 2020

A VERSATILE MULTI-CAMERA SYSTEM FOR 3D ACQUISITION AND MODELING

O. Lanz, F. Sottsas, M. Conni, M. Boschetti, E. Nocerino, F. Menna, and F. Remondino

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 785–790, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-785-2020,https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-785-2020, 2020

PREFACE: TECHNICAL COMMISSION II

F. Remondino, T. Fuse, and I. Toschi

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2020, 7–7, https://doi.org/10.5194/isprs-annals-V-2-2020-7-2020,https://doi.org/10.5194/isprs-annals-V-2-2020-7-2020, 2020

OPEN-SOURCE IMAGE-BASED 3D RECONSTRUCTION PIPELINES: REVIEW, COMPARISON AND EVALUATION

E.-K. Stathopoulou, M. Welponer, and F. Remondino

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W17, 331–338, https://doi.org/10.5194/isprs-archives-XLII-2-W17-331-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W17-331-2019, 2019

APPLICATION OF MACHINE AND DEEP LEARNING STRATEGIES FOR THE CLASSIFICATION OF HERITAGE POINT CLOUDS

E. Grilli, E. Özdemir, and F. Remondino

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W18, 447–454, https://doi.org/10.5194/isprs-archives-XLII-4-W18-447-2019,https://doi.org/10.5194/isprs-archives-XLII-4-W18-447-2019, 2019

AERIAL POINT CLOUD CLASSIFICATION WITH DEEP LEARNING AND MACHINE LEARNING ALGORITHMS

E. Özdemir, F. Remondino, and A. Golkar

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W18, 843–849, https://doi.org/10.5194/isprs-archives-XLII-4-W18-843-2019,https://doi.org/10.5194/isprs-archives-XLII-4-W18-843-2019, 2019

A REVIEW OF BENCHMARKING IN PHOTOGRAMMETRY AND REMOTE SENSING

K. Bakuła, J. P. Mills, and F. Remondino

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1-W2, 1–8, https://doi.org/10.5194/isprs-archives-XLII-1-W2-1-2019,https://doi.org/10.5194/isprs-archives-XLII-1-W2-1-2019, 2019

A MULTI-PURPOSE BENCHMARK FOR PHOTOGRAMMETRIC URBAN 3D RECONSTRUCTION IN A CONTROLLED ENVIRONMENT

E. Özdemir, I. Toschi, and F. Remondino

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1-W2, 53–60, https://doi.org/10.5194/isprs-archives-XLII-1-W2-53-2019,https://doi.org/10.5194/isprs-archives-XLII-1-W2-53-2019, 2019

MULTI-VIEW STEREO WITH SEMANTIC PRIORS

E.-K. Stathopoulou and F. Remondino

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W15, 1135–1140, https://doi.org/10.5194/isprs-archives-XLII-2-W15-1135-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W15-1135-2019, 2019

VIDEOGRAMMETRY VS PHOTOGRAMMETRY FOR HERITAGE 3D RECONSTRUCTION

A. Torresani and F. Remondino

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W15, 1157–1162, https://doi.org/10.5194/isprs-archives-XLII-2-W15-1157-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W15-1157-2019, 2019

3D VIRTUALIZATION OF AN UNDERGROUND SEMI-SUBMERGED CAVE SYSTEM

E. Nocerino, F. Menna, E. Farella, and F. Remondino

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W15, 857–864, https://doi.org/10.5194/isprs-archives-XLII-2-W15-857-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W15-857-2019, 2019

SPARSE POINT CLOUD FILTERING BASED ON COVARIANCE FEATURES

E. M. Farella, A. Torresani, and F. Remondino

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W15, 465–472, https://doi.org/10.5194/isprs-archives-XLII-2-W15-465-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W15-465-2019, 2019

GEOMETRIC FEATURES ANALYSIS FOR THE CLASSIFICATION OF CULTURAL HERITAGE POINT CLOUDS

E. Grilli, E. M. Farella, A. Torresani, and F. Remondino

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W15, 541–548, https://doi.org/10.5194/isprs-archives-XLII-2-W15-541-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W15-541-2019, 2019

INVESTIGATION INTO THE POTENTIAL OF SINGLE PHOTON AIRBORNE LASER SCANNING TECHNOLOGY

C. Bernard, J. P. Mills, J. Talaya, and F. Remondino

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 927–934, https://doi.org/10.5194/isprs-archives-XLII-2-W13-927-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W13-927-2019, 2019

CLASSIFICATION OF AERIAL POINT CLOUDS WITH DEEP LEARNING

E. Özdemir and F. Remondino

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 103–110, https://doi.org/10.5194/isprs-archives-XLII-2-W13-103-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W13-103-2019, 2019

CLOUD-BASED SOLUTION FOR NATIONWIDE POWER LINE MAPPING

I. Toschi, D. Morabito, E. Grilli, F. Remondino, C. Carlevaro, A. Cappellotto, G. Tamagni, and M. Maffeis

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 119–126, https://doi.org/10.5194/isprs-archives-XLII-2-W13-119-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W13-119-2019, 2019

EVALUATION OF VISION-BASED LOCALIZATION AND MAPPING TECHNIQUES IN A SUBSEA METROLOGY SCENARIO

F. Menna, A. Torresani, E. Nocerino, M. M. Nawaf, J. Seinturier, F. Remondino, P. Drap, and B. Chemisky

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W10, 127–134, https://doi.org/10.5194/isprs-archives-XLII-2-W10-127-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W10-127-2019, 2019

QUALITY FEATURES FOR THE INTEGRATION OF TERRESTRIAL AND UAV IMAGES

E. M. Farella, A. Torresani, and F. Remondino

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W9, 339–346, https://doi.org/10.5194/isprs-archives-XLII-2-W9-339-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W9-339-2019, 2019

GENERATIVE ADVERSARIAL NETWORKS FOR SINGLE PHOTO 3D RECONSTRUCTION

V. V. Kniaz, F. Remondino, and V. A. Knyaz

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W9, 403–408, https://doi.org/10.5194/isprs-archives-XLII-2-W9-403-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W9-403-2019, 2019

SEMANTIC PHOTOGRAMMETRY – BOOSTING IMAGE-BASED 3D RECONSTRUCTION WITH SEMANTIC LABELING

E.-K. Stathopoulou and F. Remondino

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W9, 685–690, https://doi.org/10.5194/isprs-archives-XLII-2-W9-685-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W9-685-2019, 2019

COMBINING AIRBORNE OBLIQUE CAMERA AND LIDAR SENSORS: INVESTIGATION AND NEW PERSPECTIVES

I. Toschi, F. Remondino, R. Rothe, and K. Klimek

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1, 437–444, https://doi.org/10.5194/isprs-archives-XLII-1-437-2018,https://doi.org/10.5194/isprs-archives-XLII-1-437-2018, 2018

GEOSPATIAL DATA FOR ENERGY EFFICIENCY AND LOW CARBON CITIES – OVERVIEW, EXPERIENCES AND NEW PERSPECTIVES –

A. Nowacka and F. Remondino

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4, 467–474, https://doi.org/10.5194/isprs-archives-XLII-4-467-2018,https://doi.org/10.5194/isprs-archives-XLII-4-467-2018, 2018

SEGMENTATION OF 3D PHOTOGRAMMETRIC POINT CLOUD FOR 3D BUILDING MODELING

E. Özdemir and F. Remondino

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W10, 135–142, https://doi.org/10.5194/isprs-archives-XLII-4-W10-135-2018,https://doi.org/10.5194/isprs-archives-XLII-4-W10-135-2018, 2018

PANORAMIC IMAGES, 2D FEATURE-BASED AND CHANGE DETECTION METHODS FOR THE DOCUMENTATION OF CONTAMINATED CRIME SCENES

D. Abate, I. Toschi, C. Sturdy-Colls, and F. Remondino

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 1–8, https://doi.org/10.5194/isprs-archives-XLII-2-1-2018,https://doi.org/10.5194/isprs-archives-XLII-2-1-2018, 2018

A METADATA BASED APPROACH FOR ANALYZING UAV DATASETS FOR PHOTOGRAMMETRIC APPLICATIONS

A. Dhanda, F. Remondino, and M. Santana Quintero

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 297–302, https://doi.org/10.5194/isprs-archives-XLII-2-297-2018,https://doi.org/10.5194/isprs-archives-XLII-2-297-2018, 2018

FROM 2D TO 3D SUPERVISED SEGMENTATION AND CLASSIFICATION FOR CULTURAL HERITAGE APPLICATIONS

E. Grilli, D. Dininno, G. Petrucci, and F. Remondino

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 399–406, https://doi.org/10.5194/isprs-archives-XLII-2-399-2018,https://doi.org/10.5194/isprs-archives-XLII-2-399-2018, 2018

IMPROVING UNDERWATER ACCURACY BY EMPIRICAL WEIGHTING OF IMAGE OBSERVATIONS

F. Menna, E. Nocerino, P. Drap, F. Remondino, A. Murtiyoso, P. Grussenmeyer, and N. Börlin

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 699–705, https://doi.org/10.5194/isprs-archives-XLII-2-699-2018,https://doi.org/10.5194/isprs-archives-XLII-2-699-2018, 2018

MAPPING VIS AND UVL IMAGERY ON 3D GEOMETRY FOR NON-INVASIVE, NON-CONTACT ANALYSIS OF A VASE

E. Nocerino, D. H. Rieke-Zapp, E. Trinkl, R. Rosenbauer, E. M. Farella, D. Morabito, and F. Remondino

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 773–780, https://doi.org/10.5194/isprs-archives-XLII-2-773-2018,https://doi.org/10.5194/isprs-archives-XLII-2-773-2018, 2018

3DNOW: IMAGE-BASED 3D RECONSTRUCTION AND MODELING VIA WEB

Y. Tefera, F. Poiesi, D. Morabito, F. Remondino, E. Nocerino, and P. Chippendale

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 1097–1103, https://doi.org/10.5194/isprs-archives-XLII-2-1097-2018,https://doi.org/10.5194/isprs-archives-XLII-2-1097-2018, 2018

SENSOR- AND SCENE-GUIDED INTEGRATION OF TLS AND PHOTOGRAMMETRIC POINT CLOUDS FOR LANDSLIDE MONITORING

T. Zieher, I. Toschi, F. Remondino, M. Rutzinger, Ch. Kofler, A. Mejia-Aguilar, and R. Schlögel

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 1243–1250, https://doi.org/10.5194/isprs-archives-XLII-2-1243-2018,https://doi.org/10.5194/isprs-archives-XLII-2-1243-2018, 2018

Review article: the use of remotely piloted aircraft systems (RPASs) for natural hazards monitoring and management

Daniele Giordan, Yuichi Hayakawa, Francesco Nex, Fabio Remondino, and Paolo Tarolli

Nat. Hazards Earth Syst. Sci., 18, 1079–1096, https://doi.org/10.5194/nhess-18-1079-2018,https://doi.org/10.5194/nhess-18-1079-2018, 2018

Short summary

GEOMATICS MAPPING OF NATURAL HAZARDS: OVERVIEW AND EXPERIENCES

I. Toschi, M. Allocca, and F. Remondino

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W4, 505–512, https://doi.org/10.5194/isprs-archives-XLII-3-W4-505-2018,https://doi.org/10.5194/isprs-archives-XLII-3-W4-505-2018, 2018

3D RECONSTRUCTION WITH A COLLABORATIVE APPROACH BASED ON SMARTPHONES AND A CLOUD-BASED SERVER

E. Nocerino, F. Poiesi, A. Locher, Y. T. Tefera, F. Remondino, P. Chippendale, and L. Van Gool

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W8, 187–194, https://doi.org/10.5194/isprs-archives-XLII-2-W8-187-2017,https://doi.org/10.5194/isprs-archives-XLII-2-W8-187-2017, 2017

A LOW-COST PANORAMIC CAMERA FOR THE 3D DOCUMENTATION OF CONTAMINATED CRIME SCENES

D. Abate, I. Toschi, C. Sturdy-Colls, and F. Remondino

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W8, 1–8, https://doi.org/10.5194/isprs-archives-XLII-2-W8-1-2017,https://doi.org/10.5194/isprs-archives-XLII-2-W8-1-2017, 2017

AN OPEN SOURCE LOW-COST AUTOMATIC SYSTEM FOR IMAGE-BASED 3D DIGITIZATION

F. Menna, E. Nocerino, D. Morabito, E. M. Farella, M. Perini, and F. Remondino

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W8, 155–162, https://doi.org/10.5194/isprs-archives-XLII-2-W8-155-2017,https://doi.org/10.5194/isprs-archives-XLII-2-W8-155-2017, 2017

GEOMETRIC CALIBRATION AND RADIOMETRIC CORRECTION OF THE MAIA MULTISPECTRAL CAMERA

E. Nocerino, M. Dubbini, F. Menna, F. Remondino, M. Gattelli, and D. Covi

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W3, 149–156, https://doi.org/10.5194/isprs-archives-XLII-3-W3-149-2017,https://doi.org/10.5194/isprs-archives-XLII-3-W3-149-2017, 2017

A CRITICAL REVIEW OF AUTOMATED PHOTOGRAMMETRIC PROCESSING OF LARGE DATASETS

F. Remondino, E. Nocerino, I. Toschi, and F. Menna

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W5, 591–599, https://doi.org/10.5194/isprs-archives-XLII-2-W5-591-2017,https://doi.org/10.5194/isprs-archives-XLII-2-W5-591-2017, 2017

THE VAST PROJECT: VALORISATION OF HISTORY AND LANDSCAPE FOR PROMOTING THE MEMORY OF WWI

E. Nocerino, F. Menna, D. Morabito, F. Remondino, I. Toschi, D. Abate, D. Ebolese, E. Farella, F. Fiorillo, S. Minto, P. Rodríguez-Gonzálvez, C. Slongo, and M. G. Speraj

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W2, 179–186, https://doi.org/10.5194/isprs-annals-IV-2-W2-179-2017,https://doi.org/10.5194/isprs-annals-IV-2-W2-179-2017, 2017

USE OF VERTICAL AERIAL IMAGES FOR SEMI-OBLIQUE MAPPING

D. Poli, K. Moe, K. Legat, I. Toschi, F. Lago, and F. Remondino

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1-W1, 493–498, https://doi.org/10.5194/isprs-archives-XLII-1-W1-493-2017,https://doi.org/10.5194/isprs-archives-XLII-1-W1-493-2017, 2017

GEOSPATIAL DATA PROCESSING FOR 3D CITY MODEL GENERATION, MANAGEMENT AND VISUALIZATION

I. Toschi, E. Nocerino, F. Remondino, A. Revolti, G. Soria, and S. Piffer

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1-W1, 527–534, https://doi.org/10.5194/isprs-archives-XLII-1-W1-527-2017,https://doi.org/10.5194/isprs-archives-XLII-1-W1-527-2017, 2017

A REVIEW OF POINT CLOUDS SEGMENTATION AND CLASSIFICATION ALGORITHMS

E. Grilli, F. Menna, and F. Remondino

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W3, 339–344, https://doi.org/10.5194/isprs-archives-XLII-2-W3-339-2017,https://doi.org/10.5194/isprs-archives-XLII-2-W3-339-2017, 2017

DEVELOPMENT OF AN ALL-PURPOSE FREE PHOTOGRAMMETRIC TOOL

D. González-Aguilera, L. López-Fernández, P. Rodriguez-Gonzalvez, D. Guerrero, D. Hernandez-Lopez, F. Remondino, F. Menna, E. Nocerino, I. Toschi, A. Ballabeni, and M. Gaiani

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B6, 31–38, https://doi.org/10.5194/isprs-archives-XLI-B6-31-2016,https://doi.org/10.5194/isprs-archives-XLI-B6-31-2016, 2016

KNOWLEDGE AND VALORIZATION OF HISTORICAL SITES THROUGH 3D DOCUMENTATION AND MODELING

E. Farella, F. Menna, E. Nocerino, D. Morabito, F. Remondino, and M. Campi

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B5, 255–262, https://doi.org/10.5194/isprs-archives-XLI-B5-255-2016,https://doi.org/10.5194/isprs-archives-XLI-B5-255-2016, 2016

OBLIQUE AERIAL IMAGERY FOR NMA – SOME BEST PRACTICES

F. Remondino, I. Toschi, M. Gerke, F. Nex, D. Holland, A. McGill, J. Talaya Lopez, and A. Magarinos

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B4, 639–645, https://doi.org/10.5194/isprs-archives-XLI-B4-639-2016,https://doi.org/10.5194/isprs-archives-XLI-B4-639-2016, 2016

UNDERWATER CALIBRATION OF DOME PORT PRESSURE HOUSINGS

E. Nocerino, F. Menna, F. Fassi, and F. Remondino

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-3-W4, 127–134, https://doi.org/10.5194/isprs-archives-XL-3-W4-127-2016,https://doi.org/10.5194/isprs-archives-XL-3-W4-127-2016, 2016

SEEING AMONG FOLIAGE WITH LIDAR AND MACHINE LEARNING: TOWARDS A TRANSFERABLE ARCHAEOLOGICAL PIPELINE

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