The Integration of The Multi-Source Data for Multi-Temporal Investigation of Cultural Heritage Objects

被引:0
|
作者
Markiewicz, Jakub [1 ]
Bochenska, Agnieszka [2 ]
Kot, Patryk [3 ]
Lapinski, Slawomir [1 ]
Muradov, Magomed [3 ]
机构
[1] Warsaw Univ Technol, Fac Geodesy & Cartog, Warsaw, Poland
[2] Royal Castle Warsaw, Archaeol Dept, Warsaw, Poland
[3] Liverpool John Moores Univ, BEST Res Inst, Liverpool, Merseyside, England
来源
2021 14TH INTERNATIONAL CONFERENCE ON DEVELOPMENTS IN ESYSTEMS ENGINEERING (DESE) | 2021年
关键词
Cultural Heritage; multi-temporal analysis; point clouds; Structure-from-Motion (SfM); Terrestrial Laser Scanning (TLS);
D O I
10.1109/DESE54285.2021.9719566
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Nowadays, there are many techniques being developed to increase the knowledge of cultural heritage sites as there are many historical places where the knowledge about their construction and function is not well investigated yet. The example of such monument is the Justice Court Tower at Royal Castle in Warsaw where the excavation of the tower was carried out for archaeological and architectural research. This article demonstrates the integration of digital methods along with excavation work. Three measurement techniques were applied: the close-range terrestrial laser scanning and close-range photogrammetry as well as surveying. It was important to determine the potential route of the wall on the west side of the tower and to determine its relationship with the lowest part of its foundations. The results confirmed that the Tower collapsed in the Middle Ages. The building that has survived to the present day is another one erected on this site. At least two construction phases have been distinguished in the foundation structure. The relic of the wall adjacent to it from the west could have been an element of earlier buildings integrated with the Tower or an autonomous edifice. The study of the torsion angles of the surfaces of the lowest foundation layers in relation to slightly younger upper levels and the parallelism of both adjacent structures allowed to finally resolve this issue.
引用
收藏
页码:63 / 68
页数:6
相关论文
共 50 条
  • [1] Multi-Source and Multi-Temporal Image Fusion on Hypercomplex Bases
    Schmitt, Andreas
    Wendleder, Anna
    Kleynmans, Ruediger
    Hell, Maximilian
    Roth, Achim
    Hinz, Stefan
    REMOTE SENSING, 2020, 12 (06)
  • [2] Multi-temporal and Multi-source Alpine Glacier Cover Classification
    Callegari, Mattia
    Marin, Carlo
    Notarnicola, Claudia
    2017 9TH INTERNATIONAL WORKSHOP ON THE ANALYSIS OF MULTITEMPORAL REMOTE SENSING IMAGES (MULTITEMP), 2017,
  • [3] CLOUD REMOVAL BY FUSING MULTI-SOURCE AND MULTI-TEMPORAL IMAGES
    Zhang, Chengyue
    Li, Zhiwei
    Cheng, Qing
    Li, Xinghua
    Shen, Huanfeng
    2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2017, : 2577 - 2580
  • [4] Geothermal target detection integrating multi-source and multi-temporal thermal infrared data
    Chao, Jiangqin
    Zhao, Zhifang
    Xu, Shiguang
    Lai, Zhibin
    Liu, Jianyu
    Zhao, Fei
    Yang, Haiying
    Chen, Qi
    ORE GEOLOGY REVIEWS, 2024, 167
  • [5] Multi-source heterogeneous cultural big data integration platforms design
    Liu P.
    Wang H.
    Zheng D.
    Liu F.
    Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition), 2021, 49 (02): : 95 - 101
  • [6] A NOVEL APPROACH FOR ENVIRONMENTAL MONITORING BASED ON THE INTEGRATION OF MULTI-TEMPORAL MULTI-SOURCE EARTH OBSERVATION DATA AND FIELD SURVEYS IN A SPATIO-TEMPORAL FRAMEWORK
    Paris, Claudia
    Kotowska, Martyna M.
    Erasmi, Stefan
    Schlund, Michael
    2022 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2022), 2022, : 5897 - 5900
  • [7] Impacts on mountain settlements of a large slow rock-slope deformation: a multi-temporal and multi-source investigation
    M. Cignetti
    D. Godone
    D. Notti
    L. Lanteri
    D. Giordan
    Landslides, 2024, 21 : 327 - 337
  • [8] Impacts on mountain settlements of a large slow rock-slope deformation: a multi-temporal and multi-source investigation
    Cignetti, M.
    Godone, D.
    Notti, D.
    Lanteri, L.
    Giordan, D.
    LANDSLIDES, 2024, 21 (02) : 327 - 337
  • [9] Investigation of Land Use/Cover Change in the City of Alfujairah Using Multi-temporal and Multi-source Geospatial Datasets
    Alzuodi, Moza
    Beaid, Mohamed Ait
    ElBattay, Ali
    2014 THIRD INTERNATIONAL WORKSHOP ON EARTH OBSERVATION AND REMOTE SENSING APPLICATIONS (EORSA 2014), 2014,
  • [10] Reducing error in small-area estimates of multi-source forest inventory by multi-temporal data fusion
    Katila, Matti
    Heikkinen, Juha
    FORESTRY, 2020, 93 (03): : 471 - 480