Street quality evaluation method based on man-machine confrontation scoring
A quality assessment, man-machine confrontation technology, applied in the field of data analysis, can solve the problems of deviation, urban street quality, space and area, etc., to achieve accurate and effective reference effect
Pending Publication Date: 2020-05-08
CHINA UNIV OF GEOSCIENCES (WUHAN)
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Problems solved by technology
The present invention has the characteristics of low cost and low deviation in the method, and overcomes the problems of laboriousness and potential spatial and regional deviation in the process of evaluating the quality of urban streets in the existing method
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[0031] In order to have a clearer understanding of the technical features, purposes and effects of the present invention, the specific implementation manners of the present invention will now be described in detail with reference to the accompanying drawings.
[0032] refer to figure 1 ,figure 1 It is a flow chart of an embodiment of the street quality assessment method based on man-machine confrontation scoring in the present invention. The street quality assessment method based on man-machine confrontation scoring of the present embodiment comprises the following steps:
[0033] S1. According to the road network data of the area to be evaluated, and then based on the road network data, determine the coordinates of the discrete sampling points on the street for quality evaluation at equal intervals or unequal intervals along the road network to form a coordinate file.
[0034] S2. According to the coordinate file, from the online map (such as Tencent map, Google map, etc.) t...
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The invention discloses a street quality evaluation method based on man-machine confrontation scoring. The method comprises the steps: extracting coordinates of sampling points according to road network data; crawling streetscape picture data through coordinates to construct an initial data set; performing deep learning semantic segmentation on the streetscape pictures in the initial data set, andextracting surface feature-level visual elements contained in the streetscape; researching and developing a man-machine confrontation scoring system, rapidly and accurately collecting psychological perception and evaluation of urban residents for street quality through man-machine interaction scoring, real-time training of a system background random forest model and iterative feedback, wherein psychological perception evaluation comprises six psychological perception indexes including richness, safety, vitality, beauty, boring and depression. By utilizing the model, the psychological perception data set meeting the specific urban street quality can be obtained with low cost and high throughput only by providing a street view data set and a small number of volunteers, and the method can befurther applied to the fields of urban planning, public health and the like.
Description
technical field [0001] The invention relates to the field of data analysis, in particular to a street quality evaluation method based on man-machine confrontation scoring. Background technique [0002] With the emergence of multi-source geographic big data, especially street view images with geographic tags, the rich visual information contained in it can accurately describe the visual physical environment of the city and accurately reflect the style, function and pattern of the city. And influence and shape people's emotions, activities and trips in the city. In addition, the human brain and vision are also the most direct and effective ways for people to obtain the perception of street quality, and they have potential advantages in understanding and recognizing natural scenes. Therefore, urban street views can better assist us in the perception of urban street quality. Qualitative analysis and quantitative evaluation. [0003] With the development of machine learning tec...
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Login to View More IPC IPC(8): G06Q10/06G06F16/9537G06Q50/26
CPCG06Q10/06393G06F16/9537G06Q50/26
Inventor 姚尧刘晔关庆锋王葭泐
Owner CHINA UNIV OF GEOSCIENCES (WUHAN)