在文化遗产中绘制图像识别的知识结构:利用CiteSpace,VOSviewer和Bibliometrix进行科学度分析
1College of Art & Design, Nanjing Forestry University, Nanjing 210037, China.
Journal of imaging
|November 26, 2024
概括
由人工智能驱动的图像识别正在改变文化遗产的保护. 未来的研究应该将这些技术与环境科学相结合,以实现可持续的遗产管理.
科学领域:
- 数字人文学科 数字人文学科
- 计算机科学 计算机科学
- 遗产科学科学 遗产科学
背景情况:
- 文化遗产中图像识别现有的研究是分散的,专注于狭窄的应用.
- 对该领域的演变和更广泛的影响缺乏全面的理解.
研究的目的:
- 在1995-2024年期间对文化遗产中的图像识别进行文献计量分析.
- 确定关键的趋势,方法和未来的研究方向.
- 探索图像识别与环境科学的整合.
主要方法:
- 科学网络 (WoS) 文献的图书法分析.
- 定性和定量研究方法.
- 关键词分析以确定新兴主题.
主要成果:
- 人工智能,特别是深度学习,已经显著提升了数字文档和文物识别.
- 越来越多的趋势是将文化遗产与生态监测和社会政策相结合.
- "生态系统服务"",模型"和"能源"等关键词的出现表明人们专注于可持续性.
结论:
- 图像识别技术对于现代文化遗产管理至关重要.
- 未来的研究必须采用多学科的方法,将遗产与环境可持续性联系起来.
- 在非侵入性识别和损害检测方面的进步是遗产遗址优化的关键.
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