Street-level imagery has emerged as a valuable tool for observing large-scale urban spaces
with unprecedented detail. However, previous studies have been limited to analyzing …

Urban scenes refer to city blocks which are basic units of megacities, they play an important
role in citizens' welfare and city management. Remote sensing imagery with largescale …

Streets, as one type of land use, are generally treated as developed or impervious areas in
most of the land-use/land-cover studies. This coarse classification substantially understates …

Measuring the human perception of urban street space and exploring the street space
elements that influence this perception have always interested geographic information and …

As cities continue to burgeon, Urban Computing emerges as a pivotal discipline for
sustainable development by harnessing the power of cross-domain data fusion from diverse …

Remote sensing in combination with deep learning has become instrumental for efficiently
and accurately classifying land-use and land-cover across large geographic areas. These …

Quantifying aspects of urban design on a massive scale is crucial to help develop a deeper
understanding of urban designs elements that contribute to the success of a public space. In …

In this study, we present the Ensemble Convolutional Neural Network (ECNN), an elaborate
CNN frame formulated based on ensembling state-of-the-art CNN models, to identify village …

Mobile and social technologies are providing new opportunities to document, characterize,
and gather impressions of urban environments. In this article, we present a study that …

With the rapid urbanization process in China, numerous urban villages have been
appeared, which are surrounded by the newly-built urban blocks. Due to the high population …