Multi-Spectral Global Feature Estimation in Ancient Village Inheritance to Visualize Virtual Reality in Landscape
Keywords:
Virtual Reality, Global Features, Multi-Spectral, landscape, ancient villages, Data FusionAbstract
Ancient villages represent an invaluable cultural heritage that reflects the historical, architectural, and sociocultural aspects of a region. However, the preservation and sustainable development of these ancient villages are confronted with numerous challenges in the face of modernization and urbanization. This paper explores the innovative Multi-Spectral Data Fusion Global Feature (MSDF-GF) model for the application of landscape visualization and virtual reality (VR) technology as tools to enhance the protection and inheritance of ancient villages. The proposed MSDF-GF performs Landscape visualization, through 3D modeling and mapping, and offers the means to document and assess the spatial and environmental elements of ancient villages. The VR image's multi-spectral features are estimated for the elimination of noises in the landscape visualization process. With the computed features the global features of the images are estimated and evaluated for processing. The analysis of the MSDF-GF with the entropy estimation with the global features estimated the image loss in the VR of the ancient villages. The findings emphasize that the proposed MSDF-GF model with the integration of landscape visualization and VR technology offers a promising approach to safeguarding ancient villages. It not only aids in the protection of historical and architectural treasures but also contributes to the sustainable development of these areas by fostering tourism and local engagement.
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