Multi-Scale and Multi-Sensor 3D Documentation of Heritage Complexes in Urban Areas

被引:33
|
作者
Murtiyoso, Arnadi [1 ]
Grussenmeyer, Pierre [1 ]
Suwardhi, Deni [2 ]
Awalludin, Rabby [2 ]
机构
[1] INSA Strasbourg, Photogrammetry & Geomat Grp, ICube Lab UMR 7357, F-67084 Strasbourg, France
[2] Bandung Inst Technol ITB, Remote Sensing & GIS Grp, Jalan Ganesha 10, Bandung 40132, Indonesia
关键词
heritage; photogrammetry; laser scanning; tropical; vernacular; multi-scale; multi-sensor; POINT CLOUDS; PHOTOGRAMMETRY; CAVE; TLS;
D O I
10.3390/ijgi7120483
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The 3D documentation of heritage complexes or quarters often requires more than one scale due to its extended area. While the documentation of individual buildings requires a technique with finer resolution, that of the complex itself may not need the same degree of detail. This has led to the use of a multi-scale approach in such situations, which in itself implies the integration of multi-sensor techniques. The challenges and constraints of the multi-sensor approach are further added when working in urban areas, as some sensors may be suitable only for certain conditions. This paper describes the integration of heterogeneous sensors as a logical solution in addressing this problem. The royal palace complex of Kasepuhan Cirebon, Indonesia, was taken as a case study. The site dates to the 13th Century and has survived to this day as a cultural heritage site, preserving within itself a prime example of vernacular Cirebonese architecture. This type of architecture is influenced by the tropical climate, with distinct features designed to adapt to the hot and humid year-long weather. In terms of 3D documentation, this presents specific challenges that need to be addressed both during the acquisition and processing stages. Terrestrial laser scanners, DSLR cameras, as well as UAVs were utilized to record the site. The implemented workflow, some geometrical analysis of the results, as well as some derivative products will be discussed in this paper. Results have shown that although the proposed multi-scale and multi-sensor workflow has been successfully employed, it needs to be adapted and the related challenges addressed in a particular manner.
引用
收藏
页数:20
相关论文
共 50 条
  • [31] A multi-level and multi-sensor documentation approach of the Treblinka extermination and labor camps
    Abate, Dante
    Sturdy-Colls, Caroline
    JOURNAL OF CULTURAL HERITAGE, 2018, 34 : 129 - 135
  • [32] Segment-based fusion of multi-sensor multi-scale satellite soil moisture retrievals
    Attarzadeh, Reza
    Bagheri, Hossein
    Khosravi, Iman
    Niazmardi, Saeid
    Akbari, Davood
    REMOTE SENSING LETTERS, 2022, 13 (12) : 1260 - 1270
  • [33] Automatic co-registration of 3D multi-sensor point clouds
    Persad, Ravi Ancil
    Armenakis, Costas
    ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2017, 130 : 162 - 186
  • [34] Multi-camera system for 3D forensic documentation
    Leipner, Anja
    Baumeister, Rilana
    Thali, Michael J.
    Braun, Marcel
    Dobler, Erika
    Ebert, Lars C.
    FORENSIC SCIENCE INTERNATIONAL, 2016, 261 : 123 - 128
  • [35] Multi-Sensor Data Fusion for 3D Reconstruction of Complex Structures: A Case Study on a Real High Formwork Project
    Zhao, Linlin
    Zhang, Huirong
    Mbachu, Jasper
    REMOTE SENSING, 2023, 15 (05)
  • [36] REVERSE ENGINEERING AND 3D MODELLING FOR DIGITAL DOCUMENTATION OF MARITIME HERITAGE
    Menna, F.
    Nocerino, E.
    Scamardella, A.
    4TH ISPRS INTERNATIONAL WORKSHOP 3D-ARCH 2011: 3D VIRTUAL RECONSTRUCTION AND VISUALIZATION OF COMPLEX ARCHITECTURES, 2011, 38-5 (W16): : 245 - 252
  • [37] TMSDNet: Transformer with multi-scale dense network for single and multi-view 3D reconstruction
    Zhu, Xiaoqiang
    Yao, Xinsheng
    Zhang, Junjie
    Zhu, Mengyao
    You, Lihua
    Yang, Xiaosong
    Zhang, Jianjun
    Zhao, He
    Zeng, Dan
    COMPUTER ANIMATION AND VIRTUAL WORLDS, 2024, 35 (01)
  • [38] 3D reconstruction of seafloor from sonar images based on the multi-sensor method
    Sun, Ning
    Shim, Taebo
    Cao, Maoyong
    2008 IEEE INTERNATIONAL CONFERENCE ON MULTISENSOR FUSION AND INTEGRATION FOR INTELLIGENT SYSTEMS, VOLS 1 AND 2, 2008, : 5 - +
  • [39] A novel multi-attention, multi-scale 3D deep network for coronary artery segmentation
    Dong, Caixia
    Xu, Songhua
    Dai, Duwei
    Zhang, Yizhi
    Zhang, Chunyan
    Li, Zongfang
    MEDICAL IMAGE ANALYSIS, 2023, 85
  • [40] A multi-scale deep feature memory and recovery network for multi-sensor fault diagnosis in the channel missing scenario
    Zhang, Tianao
    Jiang, Li
    Liu, Jie
    Zhang, Xin
    Zhang, Qing
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2025, 145