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李宗飞，董友强，侯妙乐，王坚，信泰琦.2021.长城数字化修复的基本问题与研究方向.遥感学报，25（12）： 2365-2380
Li Z F，Dong Y Q，Hou M L，Wang J and Xin T Q. 2021. Basic issues and research directions of the digital restoration of the Great Wall. National Remote Sensing Bulletin， 25（12）：2365-2380
数字化方式是传播遗产价值的重要手段之一，长城作为世界上最大的线型文化遗产具有独特的历史、艺术和科学价值。在文化遗产数字化保护的长期发展中，以往人们较多关注考古器物、字画、文稿等可移动文物和大型佛龛、壁画等不可移动文物领域的数字化修复，但是对长城遗址的数字化修复研究极少。本文立足于数字化修复中多源证据的重要性，结合长城的原貌价值及真实性保护理念，总结了长城数字化修复的基本概念；提出了从领域知识构建、证据转化、证据融合、语义建模到知识服务整个过程的长城数字化修复总体思路，并分析了面临的3个基本问题，包含长城认知、数据采集及证据转化、复原理念及实现问题；继而从长城领域知识构建、数字化修复关键技术和面向需求的知识服务3方面阐述了长城数字化修复的研究方向与重点；最后以九眼楼为例，介绍了数字化修复框架下的修复成果。
Digitization is one of the most important means of spreading heritage values. Nowadays
as one of the symbols of ancient civilization
the Great Wall of China has a great and irreplaceable historical research value
especially in military architecture
technology
and art. In the long-term development of the digital protection of cultural heritage
people have been paying more attention to the digital restoration of movable cultural relics
such as artifacts
calligraphy
painting
manuscripts
and immovable cultural relics
including large Buddhist shrines and murals. However
studies on the digital restoration of the Great Wall ruins remain scant.
On the basis of the value demand of the Great Wall protection and the research foundation of digital restoration
this study argues that authentic evidence is the key factor affecting scientific restoration and puts forward the criterion that the digital restoration of the Great Wall should be consistent with the “original appearance” and “authenticity” of the Great Wall. This paper summarizes the basic concepts of the digital restoration of the Great Wall and puts forward the general ideas of the Great Wall digital restoration in terms of domain knowledge
evidence transformation
evidence fusion
semantic modeling to knowledge service. This paper also discusses the three basic problems of the digital restoration of the Great Wall
namely
the cognition of the Great Wall
data collection
evidence conversion
and the concept and implementation of restoration. Aiming at these basic problems
three research directions are proposed
that is
knowledge construction in the field of Great Wall digital restoration
key technologies of digital restoration
and knowledge service. The construction of the knowledge of the Great Wall deepens the cognitive category of the Great Wall. The key technologies are the implementation of spatial geographic information 3S technology
deep learning
and semantic modeling. The knowledge service of the digital restoration of the Great Wall can provide services for the sustainable preventive protection of the Great Wall
experts
and the public. Finally
taking Nine Eyes Watchtower an example
the restoration results under the framework of digital restoration are introduced.
The results of the digital restoration of the Great Wall are not absolute. Its greatest advantage is that it can accept the public's judgment and the emergence of new evidence at any time
rendering the digital restoration of the Great Wall as a dynamic and open research process. The significance lies in the integration of multi-disciplinary advantages
showing the restoration process of the Great Wall to different groups
such as departments
experts and scholars
and the public; Furthermore
from the perspective of the protection of the Great Wall
digital restoration is a supplement to the strategy of “original site protection and original state protection
” respecting physical protection and giving full play to the advantages of digital means. The digital restoration framework can not only provide a scientific
humanistic
and feasible scheme for the digital restoration of the Great Wall
but also provide a new reference for the restoration of other ancient sites.
长城遥感多源数据证据语义数字化修复框架九眼楼
the Great Wallremote sensingmulti-source dataevidencesemanticdigital restoration frameworkthe Nine Eyes Watchtower
Arbace L, Sonnino E, Callieri M, Dellepiane M, Fabbri M, Idelson A I and Scopigno R. 2013. Innovative uses of 3D digital technologies to assist the restoration of a fragmented terracotta statue. Journal of Cultural Heritage, 14(4): 332-345 [DOI: 10.1016/j.culher.2012.06.008http://dx.doi.org/10.1016/j.culher.2012.06.008]
Cao Y C and Zhang Y K. 2015. Research on Precise Temporal Evolution of Military Defense System Along the Great Wall in Ming Dynasty.Architecture & Culture, 25(9): 138-140
曹迎春, 张玉坤. 2015. 明长城宣府镇军事防御聚落时空变迁探索. 建筑与文化, 25(9): 138-140
Carbonara G. 2012. An Italian contribution to architectural restoration. Frontiers of Architectural Research, 1(1): 2-9 [DOI: 10.1016/j.foar.2012.02.007http://dx.doi.org/10.1016/j.foar.2012.02.007]
Chang Q. 2009. Authenticity in historic preservation and restoration. Time Architecture, (3): 118-121
常青. 2009. 历史建筑修复的“真实性”批判. 时代建筑, (3): 118-121 [DOI: 10.3969/j.issn.1005-684X.2009.03.017]
Chen S L, Hu Q W, Wang S H and Yang H J. 2016. A virtual restoration approach for ancient plank road using mechanical analysis with precision 3D data of heritage site. Remote Sensing, 8(10): 828 [DOI: 10.3390/rs8100828http://dx.doi.org/10.3390/rs8100828]
Chen S L, Yang H Z, Wang S S and Hu Q W. 2018. Surveying and digital restoration of towering architectural heritage in harsh environments: a case study of the millennium ancient watchtower in Tibet. Sustainability, 10(9): 3138 [DOI: 10.3390/su10093138http://dx.doi.org/10.3390/su10093138]
Di Angelo L, Di Stefano P, Guardiani E, Morabito A E and Pane C. 2019. 3D virtual reconstruction of the ancient Roman Incile of the Fucino Lake. Sensors, 19(16): 3505 [DOI: 10.3390/s19163505http://dx.doi.org/10.3390/s19163505]
Du Q and Cao Y K. 2019. The theory and practice of restoration of Italian architects in the Post-Brandi Era. Architectural Journal, (7): 88-93
杜骞, 曹永康. 2019. 后布兰迪时代意大利建筑师的修复理论与实践. 建筑学报, (7): 88-93 [DOI: 10.3969/j.issn.0529-1399.2019.07.013]
Fukuda T, Ban H, Yagi K and Nishiie J. 2015. Development of high-definition Virtual Reality for historical architectural and urban digital reconstruction: a case study of Azuchi Castle and Old Castle Town in 1581//International Conference on Computer-Aided Architectural Design Futures. São Paulo, Brazil: Springer: 75-89 [DOI: 10.1007/978-3-662-47386-3_5http://dx.doi.org/10.1007/978-3-662-47386-3_5]
Gentry K and Smith L. 2019. Critical heritage studies and the legacies of the late-twentieth century heritage canon. International Journal of Heritage Studies, 25(11): 1148-1168 [DOI: 10.1080/13527258.2019.1570964http://dx.doi.org/10.1080/13527258.2019.1570964]
Gomes L, Bellon O R P and Silva L. 2014. 3D reconstruction methods for digital preservation of cultural heritage: a survey. Pattern Recognition Letters, 50: 3-14 [DOI: 10.1016/j.patrec.2014.03.023http://dx.doi.org/10.1016/j.patrec.2014.03.023]
Hou Y Y. 2016. Application of traditional Chinese aesthetics in ancient books repair. Research on Heritages and Preservation, 1(4): 49-53
侯妍妍. 2016. 中华传统美学思想在古籍修复中的应用分析. 遗产与保护研究, 1(4): 49-53
Hua X Z. 1988. The Great Wall Documentary of the Ming Dynasty. Beijing: Archives Press
华夏子. 1988. 明长城考实. 北京: 档案出版社
Jia J and He Y. 2016. Study on the idea of Yuanmingyuan garden construction based on digital technology. Journal of Chinese Architecture History, (2): 341-364
贾珺, 贺艳. 2016. 基于数字化技术的圆明园造园意匠研究. 中国建筑史论汇刊, (2): 341-364
Jiang L F. 1987. Dung Huang Xue Gui Hua Si Yi. Shanghai: Shanghai Classics Publishing House: 1013-1014
姜亮夫. 1987. 敦煌学规划私议. 上海: 上海古籍出版社: 1013-1014
Kan X, Zhang Y H, Cao T, Wang J G and Tian W. 2016. Snow cover recognition for Qinghai-Tibetan Plateau using deep learning and multispectral remote sensing. Acta Geodaetica et Cartographica Sinica, 45(10): 1210-1221
阚希, 张永宏, 曹庭, 王剑庚, 田伟. 2016. 利用多光谱卫星遥感和深度学习方法进行青藏高原积雪判识. 测绘学报, 45(10): 1210-1221 [DOI: 10.11947/j.AGCS.2016.20160183http://dx.doi.org/10.11947/j.AGCS.2016.20160183]
Lanitis A, Stylianou G and Voutounos C. 2012. Virtual restoration of faces appearing in byzantine icons. Journal of Cultural Heritage, 13(4): 404-412 [DOI: 10.1016/j.culher.2012.01.001http://dx.doi.org/10.1016/j.culher.2012.01.001]
Li C L, Zhou M Q, Cheng X and Cheng R B. 2006. Virtual restoration of axisymmetric relic fragments. Journal of Computer-Aided Design and Computer Graphics, 18(5): 620-624
李春龙, 周明全, 成欣, 程日彬. 2006. 轴对称破碎文物的虚拟复原方法. 计算机辅助设计与图形学学报, 18(5): 620-624 [DOI: 10.3321/j.issn:1003-9775.2006.05.002http://dx.doi.org/10.3321/j.issn:1003-9775.2006.05.002]
Li J and Zhai B Q. 2016. Reflections on the authenticity issues in the construction of heritage ruin parks in China. Chinese Landscape Architecture, 32(5): 117-121
李骥, 翟斌庆. 2016. 中国大遗址“公园化”当中的“原真性”问题再思考. 中国园林, 32(5): 117-121
Li M, Fu J, Chen A S, Li L, Wang G M and Zeng L. 2021. Study on the transformation of knowledge service-oriented geological data management. Geology and Resources, 30(1): 92-98
李敏, 傅洁, 陈安蜀, 李磊, 王国明, 曾乐. 2021. 面向知识服务的地质资料管理转型研究. 地质与资源, 30(1): 92-98 [DOI: 10.13686/j.cnki.dzyzy.2021.01.012http://dx.doi.org/10.13686/j.cnki.dzyzy.2021.01.012]
Li Y W and Zhao H R. 2018. Comprehensive display design of the Great Wall’s Cultural landscape based on virtual environment. Bulletin of Surveying and Mapping, 67(8): 131-135, 149
李一苇, 赵红蕊. 2018. 虚拟环境下长城文化景观的综合展示设计. 测绘通报, 67(8): 131-135, 149 [DOI: 10.13474/j.cnki.11-2246.2018.0261http://dx.doi.org/10.13474/j.cnki.11-2246.2018.0261]
Liu J and Wu Z K. 2016. Rule-based generation of ancient Chinese architecture from the Song Dynasty. Journal on Computing and Cultural Heritage, 9(2): Article No.: 7 [DOI: 10.1145/2835495http://dx.doi.org/10.1145/2835495]
Liu S J. 2020. On the new age value implication of the Great Wall spirit and its practical approaches. Journal of Hebei GEO University, 43(2): 127-131
刘素杰. 2020. 长城精神的新时代价值蕴含及其实践途径. 河北地质大学学报, 43(2): 127-131 [DOI: 10.13937/j.cnki.hbdzdxxb.2020.02.022http://dx.doi.org/10.13937/j.cnki.hbdzdxxb.2020.02.022]
Liu W Y. 2018. Study on the monitoring system of the Great Wall from the perspective of heritage characteristics analysis. China Cultural Heritage, (3): 85-91
刘文艳. 2018. 遗产特性分析视野下的长城监测体系研究. 中国文化遗产, (3): 85-91
Liu X L, Wang B, Huang Q and Ren Y. 2020. Condition assessment model for cable-stayed bridges based on evidence reasoning framework. Journal of South China University of Technology (Natural Science Edition), 48(6): 69-76
刘小玲, 汪炳, 黄侨, 任远. 2020. 基于证据推理框架的斜拉桥状态评估模型. 华南理工大学学报(自然科学版), 48(6): 69-76 [DOI: 10.12141/j.issn.1000-565X.190691http://dx.doi.org/10.12141/j.issn.1000-565X.190691]
Lopez-Menchero V M and Grande A. 2011. The principles of the Seville Charter//CIPA Symposium Proceedings. Prague, Czech Republic: [s.n.]: 2-6
Lu H R, Zhang Y, Niu M M, Shui W Y and Zhou M Q. 2015. Three-dimensional virtual reassembling for broken artifact fragments based on Leap motion. Journal of System Simulation, 27(12): 3006-3011, 3017
卢浩然, 张宇, 牛苗苗, 税午阳, 周明全. 2015. 基于Leap motion的三维文物虚拟拼接方法. 系统仿真学报, 27(12): 3006-3011, 3017
Lu S L. 2012. China’s exploration for the concepts of cultural relics conservation. Southeast Culture, (2): 6-9
陆寿麟. 2012. 我国文物保护理念的探索. 东南文化, (2): 6-9
Luo Z W and Dong Y H. 1990. Some basic theoretical questions about the Great Wall Study. Wen Wu Chun Qiu, (1): 1-8
罗哲文, 董耀会. 1990. 关于长城学的几个基本理论问题. 文物春秋, (1): 1-8
Ortiz-Cordero R, Pastor E L and Fernández R E H. 2018. Proposal for the improvement and modification in the scale of evidence for virtual reconstruction of the cultural heritage: a first approach in the mosque-cathedral and the fluvial landscape of Cordoba. Journal of Cultural Heritage, 30: 10-15 [DOI: 10.1016/j.culher.2017.10.006http://dx.doi.org/10.1016/j.culher.2017.10.006]
Pei S Y and Wang Y. 2020. Ancient building maintenance and repair——from the theory of style repair to the original repair. Chinese and Overseas Architecture, (10): 35-37
裴诗雅, 王艳. 2020. 古建筑维护及修复——从风格性修复理论到原真性修复. 中外建筑, (10): 35-37
Pu T B. 2011. Preservation of Ming Dynasty Great Wall in Qinghai Province and its protection countermeasures. Cultural Relics, (9): 86-90
蒲天彪. 2011. 青海省境内明长城保存现状分析与保护对策. 文物, (9): 86-90
Shi D, Du Z Y and Du X F. 2017. Research on the principles and social evaluation of the first restoration of Dajiden at the Heijo Palace Site in Japan. China Cultural Heritage, (2): 34-45
石鼎, 杜之岩, 杜晓帆. 2017. 日本平城宫遗址第一次大极殿复原理念原则与社会评价研究. 中国文化遗产, (2): 34-45
Shui J L, Yao G G and Feng X. 2019. Exploring the strategy of scenic forest construction in cultural heritage corridor: taking a scenic forest special plan of the ancient Great Wall cultural heritage corridor in Datong, northern China as an example. Journal of Beijing Forestry University, 41(12): 139-152
税嘉陵, 姚光刚, 冯潇. 2019. 文化遗产廊道中的风景林营造策略探索——以大同市古长城文化遗产廊道风景林专项规划为例. 北京林业大学学报, 41(12): 139-152 [DOI: 10.12171/j.1000-1522.20190307http://dx.doi.org/10.12171/j.1000-1522.20190307]
Shui W Y, Zhou M Q, Gao F and Qu L. 2015. A digital restoration method for broken bronze artifacts having a symmetrical structure. Sciences of Conservation and Archaeology, 27(4): 113-117
税午阳, 周明全, 高飞, 曲亮. 2015. 一种结构对称的破碎青铜文物的数字修复方法. 文物保护与考古科学, 27(4): 113-117 [DOI: 10.3969/j.issn.1005-1538.2015.04.016http://dx.doi.org/10.3969/j.issn.1005-1538.2015.04.016]
Soto-Martin O, Fuentes-Porto A and Martin-Gutierrez J. 2020. A digital reconstruction of a historical building and virtual reintegration of mural paintings to create an interactive and immersive experience in virtual reality. Applied Sciences, 10(2): 597 [DOI: 10.3390/app10020597http://dx.doi.org/10.3390/app10020597]
Tao W and Zan L. 2011. Management and Presentation of Chinese Sites for UNESCO World Heritage List (UWHL). Available at SSRN 1745323
Tian S and Ma W R. 2019. Multidisciplinary integration of the Ming Great Wall resources and construction of the studies on the Great Wall. Journal of Northwest Normal University (Social Sciences), 56(6): 78-86
田澍, 马维仁. 2019. 明长城资源的多学科整合与长城学的构建. 西北师大学报(社会科学版), 56(6): 78-86 [DOI: 10.16783/j.cnki.nwnus.2019.06.010http://dx.doi.org/10.16783/j.cnki.nwnus.2019.06.010]
Wang J, Shen X G and Yi L. 2015. The preservation of the Great Wall focuses on its original appearance. The Communist Party Member, (19): 46-47
王珏, 沈小根, 易林. 2015. 保护长城重在维护原貌. 共产党员(河北), (19): 46-47 [DOI: 10.14061/j.cnki.cn13-1033/d.2015.19.043]
Wang L P, Zhang Z, Su L and Nie W C. 2020. Target recognition and location using deep learning based on selected patterns. Journal of Harbin Engineering University, 41(4): 549-555
王立鹏, 张智, 苏丽, 聂文昌. 2020. 融合优选图案的深度学习目标识别及定位技术. 哈尔滨工程大学学报, 41(4): 549-555 [DOI: 10.11990/jheu.201901047http://dx.doi.org/10.11990/jheu.201901047]
Wang Y. 2018. Overview of the Great Wall in Beijing. Beijing: Beijing Press
王岩. 2018. 北京长城概览. 北京: 北京出版社
Wu C L, Liu G, Zhou Q, Zhang X L and Xu K. 2020. Fundamental problems of integrated application of big data in geoscience. Bulletin of Geological Science and Technology, 39(4): 1-11
吴冲龙, 刘刚, 周琦, 张夏林, 徐凯. 2020. 地质科学大数据统合应用的基本问题. 地质科技通报, 39(4): 1-11
Wu Z Z and Zhao L. 2014. On “repairing the old as the old” of historic buildings. Urban Problems, 40(2): 36-40
吴铮争, 赵荣. 2014. 关于历史建筑的“修旧如旧”——兼论陕北明长城保护中的“修旧如旧”. 城市问题, 40(2): 36-40
Xu T. 2014. Nara+20: on heritage practices, cultural values, and the concept of authenticity. World Architecture, 42(12): 108-109
徐桐. 2014. 奈良+20: 关于遗产实践、文化价值和真实性概念的回顾性文件. 世界建筑, 42(12): 108-109 [DOI: 10.16414/j.wa.2014.12.035http://dx.doi.org/10.16414/j.wa.2014.12.035]
Yang B S, Zhang F, Fang L N, Zang Y F, Wang Y M, Hou M L and Zhao R L. 2016. Common report about the theory and method of high-precise reconstruction of complex geometric objects. Science and Technology Innovation Herald, 13(17): 176-177
杨必胜, 张帆, 方莉娜, 臧玉府, 王晏民, 侯妙乐, 赵仁亮. 2016. 复杂几何对象高精度数字化重建理论与方法. 科技创新导报, 13(17): 176-177
Yang S M, Zhang P and Zhang Y K. 2012. The research on the form and transformaiton of the military for tresses of the Great Wall in Ming Dynasty: Zhangjiakou Bao as an example. Architectural Journal, 68(S1): 25-29
杨申茂, 张萍, 张玉坤. 2012. 明代长城军堡形制与演变研究: 以张家口堡为例. 建筑学报, 68(S1): 25-29
Yu B, Xu L L, Zhang Y M and Zhang J J. 2015. Application advancement of spatial information technology in the Great Wall resources survey. China Cultural Heritage Scientific Research, (1): 67-73
于冰, 许礼林, 张依萌, 张景景. 2015. 空间信息技术在长城资源调查中的应用进展. 中国文物科学研究, (1): 67-73 [DOI: 10.3969/j.issn.1674-9677.2015.01.020]
Zhang B Q, Zhang J W and Shang J Y. 2021. Methods and countermeasures of the archaeological work in the Great Wall protection and maintenance projects. Journal of National Museum of China, 43(1): 21-31
张保卿, 张剑葳, 尚劲宇. 2021. 长城保护维修工程中考古工作的方法与对策研究. 中国国家博物馆馆刊, 43(1): 21-31
Zhang J Y, Zhao X L and Chen Z. 2020. Review of semantic segmentation of point cloud based on deep learning. Laser and Optoelectronics Progress, 57(4): 040002
张佳颖, 赵晓丽, 陈正. 2020. 基于深度学习的点云语义分割综述. 激光与光电子学进展, 57(4): 040002 [DOI: 10.3788/LOP57.040002http://dx.doi.org/10.3788/LOP57.040002]
Zhang P Y. 2019. The transformation and practice of traditional restoration of Chinese bronzes. Study on Natural and Cultural Heritage, 4(S2): 86-90
张鹏宇. 2019. 中国青铜器传统修复的理念转变与实践. 自然与文化遗产研究, 4(S2): 86-90
Zhang Y K, Xu L Y, Li Y and He J. 2019. Database Construction and Application of the Defense System of Ming Great Wall from the Perspective of Spatial Humanities.Traditional Chinese Architecture and Gardens, 39(2):78-83+94
张玉坤, 徐凌玉, 李严, 何捷. 2019. 空间人文视角下明长城文化遗产数据库建设及应用. 古建园林技术, 39(2): 78-83+94
Zhao H Y, Li Z X, Han W F, Sun M L and Wang X D. 2007. Study on the main disease of the Great Wall and its conservation in Gansu province. Sciences of Conservation and Archaeology, 19(1): 28-32
赵海英, 李最雄, 韩文峰, 孙满利, 王旭东. 2007. 甘肃境内长城遗址主要病害及保护研究. 文物保护与考古科学, 19(1): 28-32 [DOI: 10.3969/j.issn.1005-1538.2007.01.005http://dx.doi.org/10.3969/j.issn.1005-1538.2007.01.005]
Zhao Y S. 2011. The investigation and measurement of the Ming Great Wall resources. Geomatics World, 9(3): 10
赵有松. 2011. 明长城资源调查与测量. 地理信息世界, 9(3): 10
Zhou X Y. 2015. Expert knowledge service: research and thinking of expert-oriented knowledge service innovation. Research on Library Science, (8): 51-56 (周新跃. 2015. 专家知识服务——面向专家的知识服务创新研究思考. 图书馆学研究, (8): 51-56) [DOI: 10.15941/j.cnki.issn1001-0424.2015.08.010]
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