<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>At present, due to the traditional village landscape protection method being relatively single, resulting in the traditional village landscape tends to “homogenization,” which is not conducive to the development of the village cultural landscape. This paper combines spatial information technology and three-dimensional modeling to reconstruct the village landscape and analyze its characteristics. Low-altitude oblique photography technology is used to collect village landscape information from multiple angles and then combined with the 3D model imaging law covariance equations to form the landscape 3D model features and then complete the multi-visual 3D model information matching. Finally, through texture mapping, the 3D model is generated to match the color of the real landscape. Using BIM technology, the data is refined to address the problem of local defects in the landscape 3D reconstruction process. The proposed technology is applied in practice to analyze the spatial comprehensibility of the test village landscape, and the comprehensibility value R² is obtained as 0.317, which is a poor spatial order of the test village. The village residents’ actual landscape color perception of the town ranges from -0.0364 to 0.4566, and the expected range is above 0.7. The actual perception is much lower than the predicted perception, and the subsequent landscape modification should be close to the villagers’ expectations.</p>
</abstract>

At present, due to the traditional village landscape protection method being relatively single, resulting in the traditional village landscape tends to “homogenization,” which is not conducive to the development of the village cultural landscape. This paper combines spatial information technology and three-dimensional modeling to reconstruct the village landscape and analyze its characteristics. Low-altitude oblique photography technology is used to collect village landscape information from multiple angles and then combined with the 3D model imaging law covariance equations to form the landscape 3D model features and then complete the multi-visual 3D model information matching. Finally, through texture mapping, the 3D model is generated to match the color of the real landscape. Using BIM technology, the data is refined to address the problem of local defects in the landscape 3D reconstruction process. The proposed technology is applied in practice to analyze the spatial comprehensibility of the test village landscape, and the comprehensibility value R² is obtained as 0.317, which is a poor spatial order of the test village. The village residents’ actual landscape color perception of the town ranges from -0.0364 to 0.4566, and the expected range is above 0.7. The actual perception is much lower than the predicted perception, and the subsequent landscape modification should be close to the villagers’ expectations.

Characteristic analysis of village cultural landscape by Lian Li space information technology and three-dimensional modelling

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

At present, due to the traditional village landscape protection method being relatively single, resulting in the traditional village landscape tends to...

Characteristic analysis of village cultural landscape by Lian Li space information technology and three-dimensional modelling

Online veröffentlicht: 10. Juni 2024

Seitenbereich: -

Eingereicht: 13. Feb. 2024

Akzeptiert: 28. Apr. 2024

DOI: https://doi.org/10.2478/amns-2024-1465

Schlüsselwörter
Spatial information technology, Three-dimensional modeling, Low-altitude oblique photography, Texture mapping, Village landscape characteristics

© 2024 Yanlin Lai et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Characteristic analysis of village cultural landscape by Lian Li space information technology and three-dimensional modelling

Online veröffentlicht: 10. Juni 2024

Seitenbereich: -

Eingereicht: 13. Feb. 2024

Akzeptiert: 28. Apr. 2024

DOI: https://doi.org/10.2478/amns-2024-1465

SchlüsselwörterSpatial information technology, Three-dimensional modeling, Low-altitude oblique photography, Texture mapping, Village landscape characteristics

© 2024 Yanlin Lai et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Spatial information technology, Three-dimensional modeling, Low-altitude oblique photography, Texture mapping, Village landscape characteristics