Selected Publications

A selection of my work, sorted by topics. You can also find a complete list of my articles (60+) on my Google Scholar profile.

My theses

• PhD thesis (2020): Geospatial recording and point cloud classification of heritage buildings. Advisor: Pierre Grussenmeyer. Jury members: Andreas Georgopoulos, Diego Gonzàlez-Aguilera, Pierre Charbonnier and Fabio Remondino.
• MSc thesis (2016): Protocoles d’acquisition d’images et de traitement des données par drone: modélisation 3D de bâtiments remarquables par photogrammétrie. Advisors: Tristan Freville, Mathieu Koehl and Pierre Grussenmeyer.
• BSc thesis (2011): Pemanfaatan fotogrametri rentang dekat untuk membantu rekonstruksi objek arkeologi (Studi kasus: candi perwara nomor 72 komplek Candi Sewu). Advisors: Deni Suwardhi and Sugeng Riyanto.

Photogrammetry

• Börlin, N., Murtiyoso, A., Grussenmeyer, P., Menna, F. and Nocerino, E., 2019. Flexible Photogrammetric Computations Using Modular Bundle Adjustment: The Chain Rule and the Collinearity Equations.. Photogrammetric Engineering & Remote Sensing, 85(5), pp.361-368.
• Murtiyoso, A., Grussenmeyer, P., Börlin, N., Vandermeerschen, J. and Freville, T., 2018. Open source and independent methods for bundle adjustment assessment in close-range UAV photogrammetry. Drones, 2(1), p.3.
• Menna, F., Nocerino, E., Drap, P., Remondino, F., Murtiyoso, A., Grussenmeyer, P. and Börlin, N., 2018. Improving underwater accuracy by empirical weighting of image observations. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, pp.699-705.
• Murtiyoso, A., Remondino, F., Rupnik, E., Nex, F. and Grussenmeyer, P., 2014. Oblique aerial photography tool for building inspection and damage assessment. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-1, pp.309-313.

Heritage documentation

• Murtiyoso, A., Grussenmeyer, P. and Suwardhi, D., 2019. Technical Considerations in Low-Cost Heritage Documentation. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W17, pp.225-232.
• Murtiyoso, A., Grussenmeyer, P., Suwardhi, D. and Awalludin, R., 2018. Multi-scale and multi-sensor 3D documentation of heritage complexes in urban areas. ISPRS International Journal of Geo-Information, 7(12), p.483.
• Murtiyoso, A. and Grussenmeyer, P., 2017. Documentation of heritage buildings using close‐range UAV images: dense matching issues, comparison and case studies. The Photogrammetric Record, 32(159), pp.206-229.

Point cloud processing

• Murtiyoso, A., Pellis, E., Grussenmeyer, P., Landes, T. and Masiero, A., 2022. Towards Semantic Photogrammetry: Generating Semantically Rich Point Clouds from Architectural Close-Range Photogrammetry. Sensors, 22(3), p.966.
• Murtiyoso, A. and Grussenmeyer, P., 2020. Virtual disassembling of historical edifices: Experiments and assessments of an automatic approach for classifying multi-scalar point clouds into architectural elements.. Sensors, 20(8), p.2161.
• Murtiyoso, A., Veriandi, M., Suwardhi, D., Soeksmantono, B. and Harto, A.B., 2020. Automatic Workflow for Roof Extraction and Generation of 3D CityGML Models from Low-Cost UAV Image-Derived Point Clouds. ISPRS International Journal of Geo-Information, 9(12), p.743.

Novel 3D sensors

• Murtiyoso, A. and Grussenmeyer, P., 2023. Initial assessment on the use of state-of-the-art NeRF neural network 3D reconstruction for heritage documentation. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-M-2-2023, pp. 1113-1118.
• Murtiyoso, A., Grussenmeyer, P., Landes, T. and Macher, H., 2021. First assessments into the use of commercial-grade solid state lidar for low cost heritage documentation. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2021, pp. 599–604.
• Murtiyoso, A. and Grussenmeyer, P., 2021. Experiments using smartphone-based videogrammetry for low-cost cultural heritage documentation. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-M-1-2021, pp. 487–491.

3D for forests

• Fol, C.R., Kükenbrink, D., Rehush, N., Murtiyoso, A., and Griess, V.C., 2023. Evaluating state-of-the-art 3D scanning methods for stem-level biodiversity inventories in forests. International Journal of Applied Earth Observation and Geoinformation, Vol. 122, p. 103396.
• Murtiyoso, A., Holm, S., Riihimäki, H., Krucher, A., Griess, H., and Griess, V.C., 2023. Virtual forests: a review on emerging questions in the use and application of 3D data in forestry. International Journal of Forest Engineering, pp. 1-14.
• Murtiyoso, A., Hristova, H., Rehush, N., and Griess, V.C., 2023. Low-cost mapping of forest under-storey vegetation using spherical photogrammetry. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2/W1-2022, pp. 185-190.

Pour les francophones

• Murtiyoso, A., 2020. Relevé 3D et classification de nuages de points du patrimoine bâti. Revue XYZ de l’Association francophone de topographie (AFT), No. 164, 3è trimestre 2020, pp. 33-42.

Juga tersedia dalam bahasa Indonesia

• Veriandi, M., Suwardhi, D., Trisyanti, S.W., Harto, A.B., Murtiyoso, A., Soeksmantono, B., 2020. Program Konversi Peta Berstandar CityGML dari Produk Pemetaan Tiga Dimensi (3D). Prosiding Seminar Nasional Geomatika 2020, pp. 903-912.
• Murtiyoso, A. and Suwardhi, D., 2017. Teknik Pencocokan Citra dalam Fotogrametri untuk Dokumentasi Cagar Budaya in Bunga Rampai Forum Peneliti Muda Indonesia 2017, eds. Wikantika, K., Ariadji, F., Prastiwi, P., pp. 241-260. Bandung: Penerbit ITB.