JOURNALS

JOURNAL ARTICLES

2024

• Fol, C. R., Zhao, J., Spat, L., Murtiyoso, A., Remondino, F., Griess, V. C., 2024: Advancing forest biodiversity inspection through mixed reality. Nature Scientific Reports.  in press

• Fol, C. R., Shi, N., Overney, N., Murtiyoso, A., Remondino, F., Griess, V. C., 2024: 3D dataset generation using virtual reality for forest biodiversity. International Journal of Digital Earth, 17(1).

• Trybała, P., Morelli, L., Remondino, F., Farrand, L., Couceiro, M.S., 2024: Under-Canopy Drone 3D Surveys for Wild Fruit Hotspot Mapping. Drones, 8(10):577

• Verdi, M., Bassi, F., Calabrese, L., Azzolini, M., Malek, S., Battisti, R., Grilli, E., Menna, F., Gallus, E., Remondino, F., 2024: Metrological Analysis with Covariance Features of Micro-Channels Fabricated with a Femtosecond Laser. Metrology 2024, 4, 398-410

• Hermann, M., Weinmann, M., Nex, F., Stathopoulou, E.K., Remondino, F., Jutzi, B., Ruf, B., 2024: Depth estimation and 3D reconstruction from UAV-borne imagery: Evaluation on the UseGeo dataset. ISPRS Open Journal of Photogrammetry and Remote Sensing, Vol. 13, 100065

• Xu, N., Qin, R., Huang, D., Remondino, F., 2024: Multi-tiling neural radiance field (NeRF) - geometric assessment on large-scale aerial datasets. The Photogrammetric Record, https://doi.org/10.1111/phor.12498  

• Nex, F., Stathopoulou, E.K., Remondino, F., Yang, M.Y., Madhuanand, L., Yogender, Y., Alsadik, B., Weinmann, M., Jutzi, B., Qin, R., 2024: UseGeo - A UAV-based multi-sensor dataset for geospatial research.  ISPRS Open Journal of Photogrammetry and Remote Sensing, Vol. 13, 100070

• Kostrzewa, A., Farella, E.M., Morelli, L., Ostrowski, W., Remondino, F., Bakuła, K., 2024: Digitizing Historical Aerial Images: Evaluation of the Effects of Scanning Quality on Aerial Triangulation and Dense Image Matching. Applied Sciences: 14(9):3635

• Takhtkeshha, N., Mandlburger, G., Remondino, F., Hyyppä, J., 2024: Multispectral Light Detection and Ranging Technology and Applications: A Review. Sensors; 24(5):1669

2023

• Shabestari, Z.B., Hosseininaveh, A., Remondino, F., 2023: Motorcycle Detection and Collision Warning Using Monocular Images from a Vehicle. Remote Sensing, 15(23):5548

• Marulli, M.R., Sorrentino, G., Menna, F., Paggi, M., 2023: Digital twin models of replicative ground stones: insight into simulating usage of Upper Paleolithic tools.  Scientific Report, 13, 18298

• Trybała, P., Szrek, J., Remondino, F., Kujawa, P., Wodecki, J., Blachowski, J., Zimroz, R., 2023: MIN3D dataset: MultI-seNsor 3D mapping with an unmanned ground vehicle. PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science,  https://doi.org/10.1007/s41064-023-00260-0

• Stathopoulou, E.K., Remondino, F., 2023: A survey of conventional and learning-based methods for multi-view stereo. The Photogrammetric Record, Vol. 38(183), pp.  374-407, DOI: 10.1111/phor.12456

• Remondino, F., Karami, A., Yan, Z., Mazzacca, G., Rigon, S., Qin, R., 2023: A Critical Analysis of NeRF-Based 3D Reconstruction. Remote Sensing, 15, 3585

• Grilli, E., Daniele, A., Bassier, M., Remondino, F., Serafini, L., 2023:  Knowledge Enhanced Neural Networks for Point Cloud Semantic Segmentation. Remote Sensing, 15(10):2590

• Ruiz de Oña, E., Barbero-García, I., González-Aguilera, D., Remondino, F., Rodríguez-Gonzálvez, P., Hernández-López, D., 2023: PhotoMatch: An Open-Source Tool for Multi-View and Multi-Modal Feature-Based Image Matching. Applied Sciences, 13(9):5467

• Marelli, D., Morelli, L., Farella, E.M., Bianco, S., Ciocca, G., Remondino, F., 2023: ENRICH: Multi-purpose dataset for benchmarking in computer vision and photogrammetry. ISPRS Journal of Photogrammetry and Remote Sensing, Vol.198, pp. 84-98

• E.K. Stathopoulou, R. Battisti, D. Cernea, A. Georgopoulos, F. Remondino, 2023: Multiple View Stereo with quadtree-guided priors. ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 196, pp. 197-209

• Kujawa, P., Chudy, K., Banasiewicz, A., Leśny, K., Zimroz, R., Remondino, F., 2023: Porosity Assessment in Geological Cores Using 3D Data. Energies, 16(3):1038

2022

• Karami, A., Menna, F., Remondino, F., 2022. Combining Photogrammetry and Photometric Stereo to Achieve Precise and Complete 3D Reconstruction. Sensors, 22(21):8172. 

• Alsadik, B., Remondino, F., Nex, F., 2022: Simulating a Hybrid Acquisition System for UAV Platforms. Drones, 6(11):314

• Farella, E.M., Malek, S., Remondino, F., 2022: Colorizing the past: Deep learning for the automatic colorization of historical aerial images.  Imaging, 8, 269

• Hazimi, A., Hosseininaveh, A., Remondino, F., 2022: PKS: A photogrammetric key-frame selection method for visual-inertial systems built on ORB-SLAM3. ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 191, pp. 18-32

• Mousavi, V., Varshosaz, M., Remondino, F., Pirasteh, S., Li, J., 2022: A Two-Step Descriptor-Based Keypoint Filtering Algorithm for Robust Image Matching. IEEE Transactions on Geoscience and Remote Sensing, Vol. 60

• Farella, E.M., Morelli, L., Rigon, S., Grilli, E., Remondino, F., 2022: Analysing Key Steps of the Photogrammetric Pipeline for Museum Artefacts 3D Digitisation. Sustainability, 14, 5740

• Karami, A., Menna, F., Remondino, F., Varshosaz, M., 2022: Exploiting light directionality for image-based 3D reconstruction of non-collaborative surfaces. The Photogrammetric Records,  Vol. 37(177), pp. 111-138

• Qin R, Ling X, Farella E.M., Remondino F., 2022: Uncertainty-Guided Depth Fusion from Multi-View Satellite Images to Improve the Accuracy in Large-Scale DSM Generation. Remote Sensing, Vol.14(6):1309

2021

• Di Stefano, F., Torresani, A., Farella, E.M., Pierdicca, R., Menna, F., Remondino, F., 2021. 3D Surveying of Underground Built Heritage: Opportunities and Challenges of Mobile Technologies. Sustainability, Vol.13, 13289

• Grilli, E., Battisti, R., Remondino, F., 2021. An Advanced Photogrammetric Solution to Measure Apples. Remote Sensing, Vol.13(19):3960

• Chemisky, B., Menna, F., Nocerino, E., Drap, P., 2021. Underwater Survey for Oil and Gas Industry: A Review of Close Range Optical Methods. Remote Sensing, Vol.13(14), 2789

• Torresani, A., Menna, F., Battisti, R., Remondino, F., 2021. A V-SLAM Guided and Portable System for Photogrammetric Applications. Remote Sensing, Vol.13(12), 2351

• Picon-Cabrera, I., Rodríguez-Gonzálvez, P., Toschi, I., Remondino, F., González-Aguilera, D., 2021. Building Reconstruction and Urban Analysis of Historic Centres with Airborne Photogrammetry. Informes de la Construcción, 73(562): e398

• Özdemir, E., Remondino, F., Golkar, A., 2021. An Efficient and General Framework for Aerial Point Cloud Classification in Urban Scenarios. Remote Sensing, Vol.13, 1985

• Hosseininaveh, A., Remondino, F., 2021. An Imaging Network Design for UGV-Based 3D Reconstruction of Buildings. Remote Sensing, Vol.13, 1923

• Yazdan, R., Varshosaz, M., Pirasteh, S., Remondino, F., 2021. Using geometric constraints to improve performance of image classifiers for automatic segmentation of traffic signs. Geomatica, Vol. 75, No. 1, pp. 28–50

• Mousavi, V., Varshosaz. M., Remondino, F., 2021: Using Information Content to Select Keypoints for UAV Image Matching. Remote Sensing, Vol.13(7):1302

• Stathopoulou, E.K., Battisti, R., Cernea, D., Remondino, F., Georgopoulos, A., 2021: Semantically Derived Geometric Constraints for MVS Reconstruction of Textureless Areas. Remote Sensing, Vol.13(6):1053

• Lecca, M., Torresani, A., Remondino, F., 2021: Comprehensive evaluation of image enhancement for unsupervised image description and matching. IET Image Processing, Vol. 14(16)

• Farella, E.M., Özdemir, E., Remondino, F., 2021:  4D Building Reconstruction with Machine Learning and Historical Maps. Applied Science, Vol.11, 1445

• Toschi, I, Farella, E.M., Welponer, M., Remondino, F., 2021: Quality-based registration refinement of airborne LiDAR and photogrammetric point clouds. ISPRS J of Photogrammetry and Remote Sensing, Vol. 172, Pages 160-170

2020

• Matrone, F., Lingua, A., Pierdicca, R., Malinverni, E., Paolanti, M., Grilli, E., Remondino, F., Muriyoso, A., Landes, T., 2020: Un benchmark per la segmentazione semantica di nuvole di punti di beni culturali. SIFET Bulletin, 2

• Grilli, E., Teruggi, S., Fassi, F., Remondino, F., Russo, M., 2020: Approccio gerarchico di machine learning per la segmentazione semantica di nuvole di punti 3D. SIFET Bulletin, 2

• Nocerino, E., Menna, F., Farella, E.M., Remondino, F., 2020: A cost-effective 3D Photogrammetric Approach for Semi-submerged Caves. CREG Journal, Vol. 112, 3-6

• Menna, F., Nocerino, E., Remondino, F., Saladino, L., Berri, L., 2020: Towards online UAS-based photogrammetric measurements for 3D metrology inspection. The Photogrammetric Record, Vol. 35(172), pp. 467-486

• Picon-Cabrera, I., Rodriguez-Gonzalvez, P., Toschi, I., Remondino, F., González-Aguilera, D., 2020: Building Reconstruction and Urban Analysis of Historic Centres with Airborne Photogrammetry. Informes de la Construccion, https://doi.org/10.3989/ic.79082

• Parvu, I.M., Özdemir, E., Remondino, F., 2020: Aerial Point Cloud Classification Using an Alternative Approach for the Dynamic Computation of K-Nearest Neighbors. Journal of Applied Engineering Sciences, Vol. 10(2)

• Nocerino, E., Stathopoulou, E.K., Rigon, S., Remondino, F., 2020: Surface Reconstruction Assessment in Photogrammetric Applications. Sensors, 20(20), 5863

• Knyaz, V.A., Kniaz, V.V., Remondino, F., Zheltov, S.Y., Gruen, A., 2020: 3D Reconstruction of a Complex Grid Structure Combining UAS Images and Deep Learning. Remote Sensing, 12(19), 3128

• Nocerino, E., Menna, F., Gruen, A., Troyer, M., Capra, A., Castagnetti, C., Rossi, P., Brooks, A.J., Schmitt, R.J., Holbrook, S.J., 2020: Coral Reef Monitoring by Scuba Divers Using Underwater Photogrammetry and Geodetic Surveying. Remote Sensing, Vol. 12(18), 3036

• Matrone, F., Grilli, E., Martini, M., Paolanti, M., Pierdicca, R., Remondino, F., 2020: Comparing Machine and Deep Learning methods for large 3D heritage semantic segmentation. International Journal of Geo-Information, 9, 535

• Farella, E.M., Torresani, A., Remondino, F., 2020: Refining the joint 3D processing of terrestrial and UAV images using quality measures. Remote Sensing, 12(18), 2873

• Teruggi, S., Grilli, E., Russo, M., Fassi, F., Remondino, F., 2020: A hierarchical machine learning approach for multi-level and multi-resolution 3D point cloud classification. Remote Sensing, 12(16), 2598

• Grilli, E., Remondino, F., 2020: Machine learning generalisation across different 3D architectural heritage. ISPRS International Journal of Geo-Information, 9(6), 379

• Alsadik, B., Remondino, F., 2020: Flight planning for LiDAR-based UAS mapping applications. ISPRS International Journal of Geo-Information, 9(6), 378

• Abzala, A., Saadatseresht, M., Varshosaz, M., Remondino, F., 2020: Development of an automatic map drawing system for ancient bas-reliefs. Int. Journal of Cultural Heritage, Vol. 45, pp. 204-214

• Nocerino, E. and Menna, F., 2020: Photogrammetry: Linking the World Across the Water Surface.  Journal of Marine Science and Engineering, 8(2), p.128.

2019

• Börlin, N., Murtiyoso, A., Grussenmeyer, P., Menna, F., Nocerino, E., 2019: Flexible Photogrammetric Computations Using Modular Bundle Adjustment: The Chain Rule and the Collinearity Equations. Photogrammetric Engineering & Remote Sensing, Vol. 85(5), pp. 361-368 - Talbert Abram Award (ASPRS)

• Grilli, E., 2019: Metodi di classificazione automatica texture- e geometry-based applicati ai beni culturali. SIFET, bulletin, n.1

• Grilli, E., Remondino, F., 2019: Classification of 3D Digital Heritage. Remote Sensing, Vol. 11(7), 847; https://doi.org/10.3390/rs11070847

• Nex, F., Remondino, F., 2019: Latest Developments, Methodologies, and Applications Based on UAV Platforms. Editorial to Drones special issue, Vol. 3(1), 26; https://doi.org/10.3390/drones3010026

2018

• Menna, F., Agrafiotis, P., Georgopoulos, A., 2018: State of the art and applications in archaeological underwater 3D recording and mapping. Int. Journal of Cultural Heritage, Vol. 33, pp. 231-248.

• Parvu, I. M., Remondino, F., Ozdemir, E., 2018: LOD2 building generation - experiences and comparisons. Journal of Applied Engineering Sciences, Vol. 8(21), pp. 59-64, DOI: 10.2478/jaes-2018-0019

• Darvishi, M., Schlögel, R., Kofler, C., Cuozzo, G., Rutzinger, M., Zieher, T., Toschi, I., Remondino, F., Mejia-Aguilar, A., Thiebes, B., Bruzzone, L., 2018: Sentinel-1 and Ground-Based Sensors for Continuous Monitoring of the Corvara Landslide (South Tyrol, Italy). Remote Sensing, 10(11), 1781; https://doi.org/10.3390/rs10111781

• De Benedictis, A., Nocerino, E., Menna, F., Remondino, F., Barbareschi, M., Rozzanigo, U., Corsini, F., Olivetti, E., Marras, C.E., Chioffi, F., Avesani P., Sarubbo, S., 2018: Photogrammetry of the Human Brain: A Novel Method for Three-Dimensional Quantitative Exploration of the Structural Connectivity in Neurosurgery and Neurosciences. World Neurosurgery,115:e279-e291, doi: 10.1016/j.wneu.2018.04.036

• Rupnik, E., Nex., F., Toschi, I., Remondino, F., 2018: Contextual classification using photometry and elevation data for damage detection after an earthquake event. European Journal of Remote Sensing, Volume 51(1), DOI: 10.1080/22797254.2018.1458584

• Giordan, D., Hayakawa, H., Nex, F., Remondino, F., Tarolli, P., 2018: The use of remotely piloted aircraft systems (RPASs) for natural hazards monitoring and management. Natural Hazards and Earth System Sciences, Vol. 18, pp. 1079-1096

• Gonzalez-Aguilera, D., López-Fernández, L., Rodriguez-Gonzalvez, P., Hernandez-Lopez, D., Guerrero, D., Remondino, F., Menna, F., Nocerino, E., Toschi, I., Ballabeni, A., Gaiani, M., 2018: GRAPHOS – open-source software for photogrammetric applications. The Photogrammetric Records, Vol. 33(161), pp. 11-29, DOI: 10.1111/phor.12231

• Nocerino, E., Menna, F., Toschi, I., Morabito, D., Remondino, F., Rodríguez-Gonzálvez, P., 2018: Valorisation of history and landscape for promoting the memory of WWI. Journal of Cultural Heritage, Vol. 29,  pp. 113-122

2017

• Gaiani, M., Apollonio, F.I., Ballabeni, A., Remondino, F., 2017: Securing color fidelity in 3D architectural heritage.  Sensors, 17(11), 2437, DOI: 10.3390/s17112437

• Toschi, I., Remondino, F., Kellenberger, T., Streilein, A., 2017: A survey of geomatics solutions for the rapid mapping of natural hazards. Photogrammetric Engineering & Remote Sensing (PERS),  Vol. 83(12), pp. 843-860

• Giordan, D., Manconi, A., Remondino, F., Nex, F., 2017: Use of unmanned aerial vehicles in monitoring application and management of natural hazards. Geomatics, Natural Hazards and Risk, 8(1), pp. 1-4

• Jimenez Fernández-Palacios, B., Morabito, D., Remondino, F., 2017: Access to complex reality-based 3d models using virtual reality solutions. Journal of Cultural Heritage, Vol. 23, pp. 40–48

2016

• Toschi, I., Remondino, F., 2016: Soluzioni geomatiche per il rapid mapping di catastrofi naturali. SIFET bulletin, 4(2016), pp.132-142

• Gallo, M., D'Onofrio, A., Tarantini, G., Nocerino, E., Remondino, F., Gerosa, G., 2016: 3D-printing model for complex aortic transcatheter valve treatment. International Journal of Cardiology, Vol. 210, pp. 139-140

• Gaiani, M., Remondino, F., Apollonio, F., Ballabeni, A., 2016: An advanced pre-processing pipeline to improve automated photogrammetric reconstructions of architectural scenes. Remote Sensing, Vol. 8(3), 178; doi: 10.3390/rs8030178

• Menna, F., Nocerino, E., Fassi, F., Remondino, F., 2016: Geometric and Optic Characterization of a Hemispherical Dome Port for Underwater Photogrammetry. Sensors, Vol.16(1), 48; doi:10.3390/s16010048

• Farella, E.M., 2016: 3D mapping of underground environments with a hand-held laser scanner. SIFET bulletin, 2(2016), pp. 48-57

2015

• Nex, F., Delucchi, L., Gianelle, D., Neteler,M., Remondino, F., Dalponte, M., 2015: Land cover classification and monitoring: the STEM open source solution. European Journal of Remote Sensing, Vol. 48(1), pp. 811-831, doi: 10.5721/EuJRS20154845

• von Schwerin, J., Richards-Rissetto, H. Remondino, F., Spera, M.G., Auer, M. Billen, N., Loos, L., Stelson, L., Reindel, M., 2015: Airborne LiDAR acquisition, post-processing and accuracy-checking for a 3D WebGIS of Copan, Honduras. Journal of Archaeological Science: Reports, Vol. 5, pp. 85–104, doi:10.1016/j.jasrep.2015.11.005

• Jiménez Fernández-Palacios, B., Nex, F., Rizzi, A., Remondino, F., 2015: ARCube - The Augmented Reality Cube for Archaeology. Archaeometry, DOI: 10.1111/arcm.12120

• Toschi, I., Rodríguez-Gonzálvez, F. Remondino, Orlandini, S., Fuller, A., 2015: Mobile Mapping Systems - An overview and performance test. LiDAR News

• Candiago, S., Remondino, F., De Giglio, M., Dubbini, M., Gattelli, M., 2015: Evaluating multispectral images and vegetation indices for precision farming applications from UAV images. Remote Sensing, Vol. 7(4), pp. 4026-4047; doi:10.3390/rs70404026

• Rupnik, E., Nex, F., Toschi, I., Remondino, F., 2015: Aerial multi-camera systems: Accuracy and block triangulation issues. ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 101, pp. 233–246

• Poli, D., Remondino, F., Angiuli, E., Agugiaro, G., 2015: Radiometric and geometric evaluation of GeoEye-1, WorldView-2 and Pléiades-1A stereo images for 3D information extraction. ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 100, pp. 35-47

2014

• Minto, S., Remondino, F., 2014: Online access and sharing of reality-based 3D models. SCIRES-IT, Vol. 4(2), pp. 17-28

• Remondino, F., Spera, M.G., Nocerino, E., Menna, F., Nex, F., 2014: State of the art in high density image matching. The Photogrammetric Record, Vol. 29(146), pp. 144-166, DOI: 10.1111/phor.12063

• Gonizzi-Barsanti, S., Remondino, F., Jiménez Fernández-Palacios, B., Visintini, D., 2014: Critical factors and guidelines for 3D surveying and modelling in Cultural Heritage. Int. Journal of Heritage in the Digital Era, Vol. 3(1), pp. 142-158

• Nex F., Remondino, F., 2014: UAV for 3D mapping applications: a review. Applied Geomatics, Vol.6(1), pp. 1-15, DOI 10.1007/s12518-013-0120-x

2013

• Saygi, G., Remondino, F., 2013: Management of Architectural Heritage Information in BIM and GIS: State-of-the-art and Future Perspectives. Int. Journal of Heritage in the Digital Era, Vol.2(4), pag. 695-714, DOI 10.1260/2047-4970.2.4.695

• von Schwerin, J., Richards-Rissetto, H., Remondino, F., Agugiaro, G., Girardi, G., 2013: The MayaArch3D project: A 3D WebGIS for analyzing ancient architecture and landscapes. Literary and Linguistic Computing, doi: 10.1093/llc/fqt059

• Jiménez Fernández-Palacios, B., Rizzi, A., Remondino, F., 2013: Etruscans in 3D - Surveying and 3D modeling for a better access and understanding of heritage. Virtual Archaeology Review, Vol. 4(8), pp.85-89. ISSN: 1989-9947

• Fiorillo, F., Jiménez Fernández-Palacios, B., Remondino, F., Barba, S., 2013: 3D Surveying and modelling of the archaeological area of Paestum, Italy. Virtual Archaeology Review, Vol. 4(8), pp. 55-60. ISSN: 1989-9947

2012

• Agugiaro, G., Kolbe, T.H., 2012: A deterministic method to integrate triangular meshes of different resolution. ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 71, pp. 96-109

• Manferdini, A.M., Remondino, F., 2012: A review of reality-based 3D model generation, segmentation and web-based visualization methods. Int. Journal of Heritage in the Digital Era, Vol.1(1), pag. 103-124, DOI 10.1260/2047-4970.1.1.103

• Menna, F., Nocerino, E., 2012: Hybrid survey method for 3D digital recording and documentation of maritime heritage. Applied Geomatics.

2011

• Remondino, F., Rizzi, A., Jimenez Fernandez-Palacios, B., Agugiaro, G., Baratti, G., De Amicis, R., 2011: The Etruscan in 3D: from space to underground. Geoinformatics FCE CTU Journal, vol. 6, pp. 283-290, Prague, Czech Republic.

• Agugiaro, G. Remondino, F., Girardi, G., von Schwerin, J., Richards-Rissetto, H., De Amicis, R., 2011: QUERYARCH3D: Querying and visualizing 3D models of a Maya archaeological site in a web-based interface. Geoinformatics FCE CTU Journal, vol. 6, pp. 10-17, Prague, Czech Republic.

• Pierrot-Deseilligny, M., De Luca, L., Remondino, F., 2011: Automated image-based procedures for accurate artifacts 3D modeling and orthoimage generation. Geoinformatics FCE CTU Journal, vol. 6, pp. 291-299, Prague, Czech Republic.

• Russo, M., Remondino, F., Guidi, G., 2011: Principali tecniche e strumenti per il rilievo tridimensionale in ambito archeologico. Archeologia e Calcolatori, n. 22, pp. 169-198, ISSN: 1120-6861, ISBN: 978-88-7814-526-9

• Remondino, F., 2011: Advanced 3D recording techniques for the digital documentation and conservation of heritage sites and objects. Change Over Time, Vol. 1(2), pp. 198-214 | DOI: 10.1353/cot.2011.0012

• Remondino, F., Rizzi, A., Barazzetti, L., Scaioni, M., Fassi, F., Brumana, R., Pelagotti, A., 2011: Review of geometric and radiometric analyses of paintings. The Photogrammetric Record, Vol. 26(136), pp. 439-461

• Remondino, F., 2011: Heritage Recording and 3D Modeling with Photogrammetry and 3D Scanning. Remote Sensing, 3(6), pp. 1104-1138.

• Remondino, F., 2011: Rilievo e modellazione 3D di siti e architetture complesse. DISEGNARECON, Vol. 4(8), pp. 90-98. Tecnologie per la comunicazione del patrimonio culturale, E. Ippoliti and A. Meschini (Eds)

2010

• Barazzetti, L., Scaioni, M., Remondino, F., 2010: Orientation and 3D modeling from markerless terrestrial images: combining accuracy with automation. The Photogrammetric Record, 25(132), pp. 356–381

• Remondino, F., Rizzi, A., Girardi, Petti, F., S. Avanzini, M., 2010: 3D Ichnology – Recovering digital 3D models of dinosaur footprints. The Photogrammetric Record, 25(131), pp. 266–282

• Remondino, F., Rizzi, A., 2010: Reality-based 3D documentation of natural and cultural heritage sites – Techniques, problems and examples. Applied Geomatics, Vol.2(3), pp. 85-100

2009

• Petti F.M., Avanzini M., Nicosia U., Girardi S., Bernardi M., Ferretti P., Schirolli P., Dal Sasso C., 2009: Late Triassic (early-middle Carnian) crurotarsan tracks from the Val Sabbia Sandstone (eastern Lombardy, Brescian Prealps, Northern Italy). Rivista Italiana di Paleontologia e Stratigrafia, 115(3): 277-290

• Franceschi, M., Teza, G., Preto, N., Pesci, A., Galgaro, A., Girardi, S., 2009: Discrimination between marls and limestones using intensity data from terrestrial laser scanner. ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 64(6), pp. 522-528

• Remondino, F., Girardi, S., Rizzi, A., Gonzo, L., 2009: 3D Modeling of complex and detailed Cultural Heritage using multi-resolution data. ACM Journal on Computing and Cultural Heritage, Vol. 2(1)

• Mills, J., Abele, S., Remondino, F., Bryan, P., 2009: Heritage3D: ongoing professional guidance on 3D recording and survey in cultural heritage. English Heritage Research News. No. 13, Winter 2009-10, pp. 20-22

• Guidi, G., Remondino, F., Russo, M., Menna, F., Rizzi, A., Ercoli, S., 2009: A Multi-Resolution methodology for the 3D modeling of large and complex archaeological areas. International Journal of Architectural Computing, Vol. 7(1), pp. 39-55

2008

• Remondino, F., El-Hakim, S., Gruen, A., Zhang, L., 2008: Turning images into 3D models - Development and performance analysis of image matching for detailed surface reconstruction of heritage objects. IEEE Signal Processing Magazine, Vol. 25(4), pp. 55-65

2007

• El-Hakim, S., Gonzo, L. Voltolini, F., Girardi, S., Rizzi, A., Remondino, F., Whiting, E., 2007: Detailed 3D modelling of castles. International Journal of Architectural Computing, Vol.5(2), pp. 199-220