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DOC-032 · PAPER

Synergy of LiDAR and Hyperspectral Remote Sensing: Health-Status Assessment of Architectural Heritage Based on Normal Cloud Theory and Variable Weight Theory

Combines point clouds, finite-element analysis and hyperspectral detection of pigments and deterioration in one assessment system for structure, enclosure and mural surfaces.

Author
Ming Guo、Xiaoke Shang、Jiawei Zhao、Ming Huang、Ying Zhang、Shuqiang Lv
Institution / journal
Heritage Science 12:217
Date
2024
Document type
paper
Original Figure 3: finite-element geometry and stress analysis generated from a dougong point cloud.
Original Figure 3: finite-element geometry and stress analysis generated from a dougong point cloud.
Guo et al. / Heritage Science · CC BY 4.0；按来源论文图注署名，第三方材料以原图注为准
Original Figure 4: hyperspectral segmentation, true-colour imagery and mixed-pigment inversion for representative murals.
Original Figure 4: hyperspectral segmentation, true-colour imagery and mixed-pigment inversion for representative murals.
Guo et al. / Heritage Science · CC BY 4.0；按来源论文图注署名，第三方材料以原图注为准
Original Figure 5: extraction of mural loss and scratch deterioration using spectral and morphological data with an improved U-Net.
Original Figure 5: extraction of mural loss and scratch deterioration using spectral and morphological data with an improved U-Net.
Guo et al. / Heritage Science · CC BY 4.0；按来源论文图注署名，第三方材料以原图注为准