Visual Feature Evaluation of Shenyang Greenway Landscape Based on Deep Learning

Abstract

At present, the research on the visual characteristics of greenway landscape is mostly focused on the evaluation of beauty degree, landscape preference, and recreation preference and mainly on the overall macroscopic evaluation of a single greenway or typical spatial research in some areas, while less attention is paid to the overall characteristics of urban greenway landscape and the differences in visual characteristics of different types of greenway landscape. The emergence of new data and new technologies such as street view, Baidu map, and deep learning provides the possibility to study the visual characteristics of greenway landscapes in large scale and full sample. The study of greenway landscape based on large deep learning can effectively refine the overall pattern of visual characteristics of greenway landscape and reveal the differences of visual characteristics of different types of greenways and their key factors, so as to provide support for the planning and design of greenway landscape and landscape appearance enhancement.