无人机多源遥感技术在历史建筑数字化重建中的应用研究
Application research of multi-source remote sensing technology of unmanned aerial vehicles in digital reconstruction of historical buildings
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| DOI |
10.12208/j.sdr.20250042 |
| 刊名 |
Scientific Development Research
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| 年,卷(期) |
2025, 5(2) |
| 作者 |
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| 作者单位 |
大连理工大学城市学院 辽宁大连
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| 摘要 |
随着科技发展,无人机多源遥感技术在历史建筑保护领域的应用愈发广泛,呈现出与人工智能、虚拟现实融合,数据处理自动化、实时化以及多领域协同发展的趋势。然而,其在应用中也面临着数据处理难度大、传感器适配性不足、飞行稳定性与安全性有待提高以及专业人才短缺等难点。不过,该技术凭借高效的数据采集能力、高精度的测绘成果、非接触式的测量方式以及丰富的多源数据等优势,为历史建筑数字化重建带来了新的机遇,极大地提高了重建效率与精度,为历史建筑的保护、研究与传承提供了有力支持。本研究对于推动无人机多源遥感技术在历史建筑保护领域的深入应用,具有重要的理论与实践意义。
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| Abstract |
With the development of technology, the application of multi-source remote sensing technology of unmanned aerial vehicles in the field of historical building protection is becoming increasingly widespread, showing a trend of integration with artificial intelligence and virtual reality, automation and real-time data processing, and collaborative development in multiple fields. However, it also faces difficulties in data processing, insufficient sensor adaptability, the need to improve flight stability and safety, and a shortage of professional talents in its application. However, this technology, with its efficient data collection capabilities, high-precision surveying results, non-contact measurement methods, and rich multi-source data, has brought new opportunities for the digital reconstruction of historical buildings, greatly improving reconstruction efficiency and accuracy, and providing strong support for the protection, research, and inheritance of historical buildings. This study has important theoretical and practical significance for promoting the in-depth application of unmanned aerial vehicle multi-source remote sensing technology in the field of historical building protection.
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| 关键词 |
无人机多源遥感技术;历史建筑;数字化重建;发展趋势;应用难点
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| KeyWord |
UAV multi-source remote sensing technology; Historical buildings; Digital reconstruction; Development trend; Application difficulties
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| 基金项目 |
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| 页码 |
40-44 |
田可庆,卢宏勇,马明舟*.
无人机多源遥感技术在历史建筑数字化重建中的应用研究 [J].
科学发展研究.
2025; 5; (2).
40 - 44.