首页|Fujian Agriculture and Forestry University Reports Findings in Machine Learning (Integrating street-view images to quantify the urban soundscape: Case study of Fuzhou City’s main urban areaa))
Fujian Agriculture and Forestry University Reports Findings in Machine Learning (Integrating street-view images to quantify the urban soundscape: Case study of Fuzhou City’s main urban areaa))
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news originating from Fujian, People’s Repub lic of China, by NewsRx correspondents, research stated, “Soundscapes are an imp ortant part of urban landscapes and play a key role in the health and well-being of citizens. However, predicting soundscapes over a large area with fine resolu tion remains a great challenge and traditional methods are time-consuming and re quire laborious large-scale noise detection work.” Our news journalists obtained a quote from the research from Fujian Agriculture and Forestry University, “Therefore, this study utilized machine learning algori thms and street-view images to estimate a large-area urban soundscape. First, a computer vision method was applied to extract landscape visual feature indicator s from large-area streetscape images. Second, the 15 collected soundscape indica tors were correlated with landscape visual indicators to construct a prediction model, which was applied to estimate large-area urban soundscapes.”
FujianPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine Learning
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