Combining physical approaches with deep learning techniques for urban building energy modeling: A comprehensive review and future research prospects
In recent times, there has been a growing interest in urban building energy modeling
(UBEM), owing to its potential benefits for cities. These benefits include aiding city decision …
(UBEM), owing to its potential benefits for cities. These benefits include aiding city decision …
A first Chinese building height estimate at 10 m resolution (CNBH-10 m) using multi-source earth observations and machine learning
Building height is a crucial variable in the study of urban environments, regional climates,
and human-environment interactions. However, high-resolution data on building height …
and human-environment interactions. However, high-resolution data on building height …
Toward 3D property valuation—a review of urban 3D modelling methods for digital twin creation
Increasing urbanisation has inevitably led to the continuous construction of buildings. Urban
expansion and densification processes reshape cities and, in particular, the third dimension …
expansion and densification processes reshape cities and, in particular, the third dimension …
Joint learning of semantic segmentation and height estimation for remote sensing image leveraging contrastive learning
Z Gao, W Sun, Y Lu, Y Zhang, W Song… - … on Geoscience and …, 2023 - ieeexplore.ieee.org
Semantic segmentation (SS) and height estimation (HE) are two critical tasks in remote
sensing scene understanding that are highly correlated with each other. To address both the …
sensing scene understanding that are highly correlated with each other. To address both the …
Deep learning–based building attribute estimation from google street view images for flood risk assessment using feature fusion and task relation encoding
Floods are the most common and damaging natural disaster worldwide in terms of both
economic losses and human casualties. Currently, policymakers rely on data collected …
economic losses and human casualties. Currently, policymakers rely on data collected …
Multi-scene building height estimation method based on shadow in high resolution imagery
Y **e, D Feng, S **ong, J Zhu, Y Liu - Remote Sensing, 2021 - mdpi.com
Accurately building height estimation from remote sensing imagery is an important and
challenging task. However, the existing shadow-based building height estimation methods …
challenging task. However, the existing shadow-based building height estimation methods …
Building height extraction from GF-7 satellite images based on roof contour constrained stereo matching
Building height is one of the basic geographic information for planning and analysis in urban
construction. It is still very challenging to estimate the accurate height of complex buildings …
construction. It is still very challenging to estimate the accurate height of complex buildings …
Remote sensing novel view synthesis with implicit multiplane representations
Novel view synthesis of remote sensing (RS) scenes is of great significance for scene
visualization, human–computer interaction, and various downstream applications. Despite …
visualization, human–computer interaction, and various downstream applications. Despite …
Img2ndsm: Height estimation from single airborne rgb images with deep learning
Estimating the height of buildings and vegetation in single aerial images is a challenging
problem. A task-focused Deep Learning (DL) model that combines architectural features …
problem. A task-focused Deep Learning (DL) model that combines architectural features …
4D building reconstruction with machine learning and historical maps
The increasing importance of three-dimensional (3D) city modelling is linked to these data's
different applications and advantages in many domains. Images and Light Detection and …
different applications and advantages in many domains. Images and Light Detection and …