Application of 3D Image Technology and Deep Learning in Landscape Design

This paper deeply studies the innovative application of 3D image technology and deep learning in the field of landscape design and discusses how these two technologies can jointly promote the development of landscape design. Through the comprehensive analysis of case studies and related literature, we reveal the key role of 3D image technology in digital modeling, real-time rendering, and visual expression, and the important contribution of deep learning in data analysis, model optimization, and design decisions. In landscape design, 3D image technology provides designers with more intuitive and real design tools by means of digital terrain modeling, building and structure modeling, and real-time rendering. This not only improves the design efficiency, but also enhances the creativity and expressive power of the design. Through the roaming of virtual reality and augmented reality, designers can experience design in an immersive way and promote closer communication and cooperation between teams and stakeholders. The introduction of deep learning technology adds intelligence and predictability to landscape design. In plant selection, lighting simulation, and data analysis and optimization, the deep learning model shows great ability. By learning from a large number of design data, the model can better understand the relationship between different design elements, provide comprehensive suggestions for designers, and play a key role in design decisions. This integration will not only improve the efficiency and quality of landscape design, but also open a new door for designers to innovate.