Study on landscape image perception of forest tourism destination——Taking Saihanba National Forest Park for example
Tourism online photos were the visual expression of tourists perception of tourist destination image.Through analyzing the landscape photos uploaded by tourists,tourists perception of forest tourist destination landscape image could be understood and key land-scape elements could be protected and restored.Taking Saihanba National Forest Park as an example,this paper selected 1 656 landscape photos from tourism websites as the research object,and analyzed the perception of natural tourism landscape from two aspects of cogni-tion and emotion.Image semantic segmentation was used to extract landscape elements and cluster analysis,landscape pattern analysis were carried out on landscape elements.Used DeepSentiBank and HowNet sentiment dictionary to conduct sentiment research,and select-ed landscape pattern indicators to explain the reasons for the emotional bias of different pho-tos.The results showed that sky was the most important landscape element that tourists pay attention to,followed by clouds,roads and forests.The perceived tourist landscape could be divided into four types:plant landscape,weather and sky landscape,water landscape and ground object landscape.The emotion presented in the photos were positive and neutral,with the highest proportion of positive emotion in plant landscape and the highest proportion of negative emotion in ground object landscape.There was a significant negative correlation between number of patches,patch density,landscape shape index and emotion value,and a significant positive correlation between maximum patch index and emotion value.
NETL
NSTL
万方数据
