Invariant signatures of architecture, engineering, and construction objects to support BIM interoperability between architectural design and structural analysis

J Wu, HL Sadraddin, R Ren, J Zhang… - Journal of construction …, 2021 - ascelibrary.org
There has been an increasing demand in building information modeling (BIM) for structural
analysis. However, model exchange between architectural software and structural analysis …

Tree species classification of forest stands using multisource remote sensing data

H Wan, Y Tang, L Jing, H Li, F Qiu, W Wu - Remote Sensing, 2021 - mdpi.com
The spatial distribution of forest stands is one of the fundamental properties of forests. Timely
and accurately obtained stand distribution can help people better understand, manage, and …

National scale land cover classification for ecosystem services mapping and assessment, using multitemporal copernicus EO data and google earth engine

N Verde, IP Kokkoris, C Georgiadis, D Kaimaris… - Remote Sensing, 2020 - mdpi.com
Land-Use/Land-Cover (LULC) products are a common source of information and a key input
for spatially explicit models of ecosystem service (ES) supply and demand. Global …

A tree species mapping method from UAV images over urban area using similarity in tree-crown object histograms

X Feng, P Li - Remote Sensing, 2019 - mdpi.com
Timely and accurate information about spatial distribution of tree species in urban areas
provides crucial data for sustainable urban development, management and planning. Very …

Fusion of high spatial resolution WorldView-2 imagery and LiDAR pseudo-waveform for object-based image analysis

Y Zhou, F Qiu - ISPRS Journal of Photogrammetry and Remote …, 2015 - Elsevier
High spatial resolution (HSR) imagery and high density LiDAR data provide complementary
horizontal and vertical information. Therefore, many studies have focused on fusing the two …

Introducing geometric signatures of architecture, engineering, and construction objects and a new BIM dataset

J Wu, J Zhang - ASCE International Conference on Computing in …, 2019 - ascelibrary.org
Object signatures have been widely used in object detection and classification. Following a
similar idea, the authors developed geometric signatures for architecture, engineering, and …

Integrating spectral variability and spatial distribution for object-based image analysis using curve matching approaches

Y Tang, F Qiu, L Jing, F Shi, X Li - ISPRS Journal of Photogrammetry and …, 2020 - Elsevier
Object-based image analysis (OBIA) has been widely used to classify high spatial resolution
(HSR) imagery. In a traditional OBIA, object-level statistical summaries such as mean values …

Comparison of object-based image analysis approaches to mapping new buildings in Accra, Ghana using multi-temporal QuickBird satellite imagery

YH Tsai, D Stow, J Weeks - Remote Sensing, 2011 - mdpi.com
The goal of this study was to map and quantify the number of newly constructed buildings in
Accra, Ghana between 2002 and 2010 based on high spatial resolution satellite image data …

Extraction of earthquake-induced collapsed buildings from bi-temporal VHR images using object-level homogeneity index and histogram

J Liu, P Li - IEEE Journal of Selected Topics in Applied Earth …, 2019 - ieeexplore.ieee.org
The availability of very high resolution (VHR) satellite images has made the analysis of
remotely sensed data an increasingly effective tool for the extraction of urban building …

Development of a nationwide approach for large scale estimation of green roof retrofitting areas and roof-top solar energy potential using VHR natural colour …

G Mallinis, M Karteris, I Theodoridou… - Remote sensing …, 2014 - Taylor & Francis
Buildings, and other engineered structures that form cities, are responsible for a significant
portion of the local and global impacts of climate change. Therefore, there is a need for the …