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Open AccessComputer ScienceGeographyEnvironmental Science

Using Street-level Images and Deep Learning for Urban La ndscape STUDIES

Xiaojiang Li, B. Cai, C. Ratti

2018.6.26Landscape Architecture Frontiers

DOI: 10.15302/j-laf-20180203

tlooto Summary

This study presented an application of a recently developed deep Convolutional Neural Network on landscape analysis based on street-level images, and measured the spatial distribution of the street greenery and quantitatively analyzed the openness of street canyons in Cambridge, Massachusetts.

Abstract

Abstract is not available.

Citation format

LI, Xiaojiang; CAI, B.; RATTI, C. Using street-level images and deep learning for urban la ndscape STUDIES. Landscape Architecture Frontiers, 2018, 6: 20–29.