Application Analysis and Future Prospect of Landscape Architecture Images and Graphics in Deep Learning
New approaches and efficient methods for the collection,analysis,and forecasting of big sample data in landscape architecture research,as well as the quick creation of landscape design drawings,are made possible by the widespread use of deep learning to handle image and graphic data.This paper took landscape architecture images and graphics as its object,analyzed the types of landscape architecture images and graphics,and explored their application ways in deep learning technology.Starting from three aspects of image recognition,image generation,and graphic prediction,this paper analyzed and summarized relevant literatures at home and abroad,combed the application progress,and proposed that the future development trend can focus on the transformation from deep learning to transfer learning,the integration of artificial intelligence and creative thinking,the combination of material attributes and non-material attributes,and emphasized the significance of deep learning technology in analyzing the space environment of location,automatically generating landscape representation maps,rapid intelligent modeling,scientific prediction of crowd behavior preferences,and so on,by processing landscape architecture images and graphics.Its application in landscape architecture can effectively promote the intelligent development of this profession.
deep learninglandscape images and graphicsimage recognitionimage generationgraph prediction
万方数据
维普
