Social Media Image and Computer Vision Method Application in Landscape Studies: A Systematic Literature Review
Ruochen Ma,
Katsunori Furuya
Abstract:This study systematically reviews 55 landscape studies that use computer vision methods to interpret social media images and summarizes their spatiotemporal distribution, research themes, method trends, platform and data selection, and limitations. The results reveal that in the past six years, social media–based landscape studies, which were in an exploratory period, entered a refined and diversified phase of automatic visual analysis of images due to the rapid development of machine learning. The efficient p… Show more
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