公开(公告)号：US12048549B1

公开(公告)日：2024-07-30

申请号：US18565501

申请日：2023-04-04

Applicant: SOUTHEAST UNIVERSITY

Inventor： Zhe Li ,  Liya Wang ,  Xiao Han ,  Jie Li ,  Qixin Zhang ,  Mingjing Dong ,  Mingchen Xu ,  Shuang Wu ,  Yi Shi ,  Haini Chen ,  Qiaochu Wang

IPC: G06V10/00 ,  A61B5/0205 ,  A61B5/0533 ,  A61B5/352 ,  A61B5/378 ,  A61B5/397 ,  G06N20/00 ,  G06V10/26 ,  G06V10/764 ,  G06V20/00 ,  G06Q50/26

CPC classification number: A61B5/378 ,  A61B5/0205 ,  A61B5/0533 ,  A61B5/352 ,  A61B5/397 ,  G06N20/00 ,  G06V10/26 ,  G06V10/764 ,  G06V20/39 ,  A61B2503/12 ,  G06Q50/26

Abstract: 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.