Building Façade Color Distribution, Color Harmony and Diversity in Relation to Street Functions: Using Street View Images and Deep Learning
نویسندگان
چکیده
Building façade colors play an important role in influencing urban imageability, attraction and citizens’ experience. However, the relations between street functions building color distribution, harmony diversity have not been thoroughly examined. We obtained dominant of façades Changning District, Shanghai, utilizing Baidu view images, image semantic segmentation technology K-means algorithm. The variations façades’ colors, across different types functional streets were examined through logistic regression ANOVA analyses. results indicate that, compared to industrial streets, red hues are more common science education residential mixed streets. Business likely green, red–purple. Residential streets’ saturation is overall higher than that In business medium–high value occurs less frequently other Moreover, we found harmonious diversified This study has implications for planning practices. Color should be well considered future planning. also addressed planning, improve existing frameworks as related strategies.
منابع مشابه
Building Instance Classification Using Street View Images
This is the pre-print version, to read the final version please go to ISPRS Journal of Photogrammetry and Remote Sensing, Elsevier. (https://doi.org/DOI: 10.1016/j.isprsjprs.2018.02.006). Land-use classification based on spaceborne or aerial remote sensing images has been extensively studied over the past decades. Such classification is usually a patch-wise or pixel-wise labeling over the whole...
متن کاملUsing Deep Learning and Google Street View to Estimate the Demographic Makeup of the US
The United States spends more than $1B each year on initiatives such as the Amer-ican Community Survey (ACS), a labor-intensive door-to-door study that measures demographic factors 1. Although a comprehensive source of data, the lag between demographic changes and their appearance in the ACS can exceed half a decade. As digital imagery becomes ubiquitous and machine vision techniques improve, a...
متن کاملAutomatic Generation of Building Models Using 2D Maps and Street View Images
We introduce a new approach for generating simple 3D building models by combining building footprints from 2D maps with street level images. The approach works with crowd sourced maps such as the OpenStreetMap and street level images acquired by a calibrated camera mounted on a moving vehicle. Buildings are modeled as boxes extruded from building footprints with the height information estimated...
متن کاملEntrance Detection from Street-View Images
We present a system for detecting building entrances in outdoor scenes, an important problem for urban scene understanding. While entrance detection in indoor scenes has received a lot of attention, tackling the problem in outdoor scenes is considerably more complicated and remains largely unexplored. The wide variety of door appearances and geometries, background clutter, occlusions, speculari...
متن کاملLayered Interpretation of Street View Images
We propose a layered street view model to encode both depth and semantic information on street view images for autonomous driving. Recently, stixels, stix-mantics, and tiered scene labeling methods have been proposed to model street view images. We propose a 4-layer street view model, a compact representation over the recently proposed stix-mantics model. Our layers encode semantic classes like...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: ISPRS international journal of geo-information
سال: 2023
ISSN: ['2220-9964']
DOI: https://doi.org/10.3390/ijgi12060224