Southeast University

Liya Wang

Yi Shi

Jie Li

Zhe Li

Xiao Han

Qiaochu Wang

Haini Chen

Mingchen Xu

Qixin Zhang

Mingjing Dong

Shuang Wu

A street greening quality detection method based on physiological activation recognition is provided. The street greening quality detection method includes establishing a greening quality factor index system, and obtaining and uniformly processing street greening images; collecting raw data, and performing reclassification and differential wave processing on the raw data to obtain valid physiological data that can be used for activation feature recognition of greening quality factors; calculating physiological activation feature parameters, training the physiological activation feature parameters by transfer learning fusion to determine importance of physiological activation features, and recognizing weighted average greening activation indexes of the greening quality factors; analyzing weighted average greening activation index data of the greening quality factors to form a street greening quality detection model; and inputting annotated street samples to be analyzed into the street greening quality detection model to obtain annotated results of street greening quality grading detection target data.

Street greening quality detection method based on physiological activation recognition

Growing community of inventors

Nanjing, China

Liya Wang