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Feasibility Study on Hyperspectral LiDAR for Ancient Huizhou-Style Architecture Preservation

The School of Electronic and Information Engineering, Anhui Jianzhu University, Hefei 230601, China
Center of Excellence of Laser Scanning Research, Finnish Geospatial Research Institute, FI-02430 Masala, Finland
Key Laboratory of Huizhou Architecture in Anhui Province, Hefei 230601, China
Key Laboratory of Quantitative Remote Sensing Information Technology, Chinese Academy of Sciences, Beijing 100094, China
Department of Computer Science, Norwegian University of Science and Technology, NO-7491 Trondheim, Norway
Interdisciplinary Division of Aeronautical and Aviation Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong, China
Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China
Author to whom correspondence should be addressed.
Remote Sens. 2020, 12(1), 88;
Received: 9 September 2019 / Revised: 15 December 2019 / Accepted: 20 December 2019 / Published: 25 December 2019
(This article belongs to the Section Engineering Remote Sensing)
Huizhou-style ancient architecture was one of the most important genres of architectural heritage in China. The architecture employed bricks, woods, and stones as raw materials, and timber frames were significant structures. Due to the drawback that the timbers were vulnerable to moisture and atmospheric agents, ancient timber buildings needed frequent protective interventions to maintain its good condition. Such interventions unavoidably disrupted the consistency between the original timber components. Besides this, the modifications brought about difficulty in correctly analysing and judging the state of existing ancient buildings, which, in current preservation practices, mainly rely on the expertise of skilled craftsmen to classify wood species and to identify the building-age of the timber components. Therefore, the industry and the research community urgently need a technique to rapidly and accurately classify wood materials and to discriminate building-age. In the paper, we designed an eye-safe 81-channel hyperspectral LiDAR (HSL) to tackle these issues. The HSL used an acousto-optic tunable filter (AOTF) as a spectral bandpass filter, offering the HSL measurements with 5 nm spectral resolution. Based on the HSL measurements, we analysed the relationship between the surface and cross-section spectral profiles of timber components from different ancient architectures built in the early Qing dynasty (~300 years), late Qing dynasty (~100 years), and nowadays, and confirmed the feasibility of using surface spectra of timber components for classification purpose. We classified building-ages and wood species with multiple Naive Bayes (NB) and support vector machine (SVM) classifiers by the surface spectra of timber components; this also unveiled the possibility of classifying gnawed timber components from its spectra for the first time. The encouraging experimental results supported that the AOTF-HSL is feasible for historic timber building preservation. View Full-Text
Keywords: Huizhou-style; ancient architecture; hyperspectral LiDAR; classification Huizhou-style; ancient architecture; hyperspectral LiDAR; classification
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MDPI and ACS Style

Shao, H.; Chen, Y.; Yang, Z.; Jiang, C.; Li, W.; Wu, H.; Wang, S.; Yang, F.; Chen, J.; Puttonen, E.; Hyyppä, J. Feasibility Study on Hyperspectral LiDAR for Ancient Huizhou-Style Architecture Preservation. Remote Sens. 2020, 12, 88.

AMA Style

Shao H, Chen Y, Yang Z, Jiang C, Li W, Wu H, Wang S, Yang F, Chen J, Puttonen E, Hyyppä J. Feasibility Study on Hyperspectral LiDAR for Ancient Huizhou-Style Architecture Preservation. Remote Sensing. 2020; 12(1):88.

Chicago/Turabian Style

Shao, Hui, Yuwei Chen, Zhirong Yang, Changhui Jiang, Wei Li, Haohao Wu, Shaowei Wang, Fan Yang, Jie Chen, Eetu Puttonen, and Juha Hyyppä. 2020. "Feasibility Study on Hyperspectral LiDAR for Ancient Huizhou-Style Architecture Preservation" Remote Sensing 12, no. 1: 88.

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