[HTML][HTML] Integration of convolutional and adversarial networks into building design: A review

J Parente, E Rodrigues, B Rangel, JP Martins - Journal of Building …, 2023 - Elsevier
Convolutional and adversarial networks are found in various fields of knowledge and
activities. One such field is building design, a multi-disciplinary and multi-task process …

Deep building footprint update network: A semi-supervised method for updating existing building footprint from bi-temporal remote sensing images

H Guo, Q Shi, A Marinoni, B Du, L Zhang - Remote Sensing of Environment, 2021 - Elsevier
Building footprint information is one foundation for understanding urban processes and
hence a program for environmentally sustainable urbanization. For most cities, municipal …

Convolutional neural networks for global human settlements mapping from Sentinel-2 satellite imagery

C Corbane, V Syrris, F Sabo, P Politis… - Neural Computing and …, 2021 - Springer
Spatially consistent and up-to-date maps of human settlements are crucial for addressing
policies related to urbanization and sustainability, especially in the era of an increasingly …

Improved mask R-CNN for rural building roof type recognition from uav high-resolution images: a case study in hunan province, China

Y Wang, S Li, F Teng, Y Lin, M Wang, H Cai - Remote Sensing, 2022 - mdpi.com
Accurate roof information of buildings can be obtained from UAV high-resolution images.
The large-scale accurate recognition of roof types (such as gabled, flat, hipped, complex and …

Deep learning-based generation of building stock data from remote sensing for urban heat demand modeling

M Wurm, A Droin, T Stark, C Geiß, W Sulzer… - … International Journal of …, 2021 - mdpi.com
Cities are responsible for a large share of the global energy consumption. A third of the total
greenhouse gas emissions are related to the buildings sector, making it an important target …

Improved mask R-CNN for aircraft detection in remote sensing images

Q Wu, D Feng, C Cao, X Zeng, Z Feng, J Wu, Z Huang - Sensors, 2021 - mdpi.com
In recent years, remote sensing images has become one of the most popular directions in
image processing. A small feature gap exists between satellite and natural images …

Satellite-based mapping of urban poverty with transfer-learned slum morphologies

T Stark, M Wurm, XX Zhu… - IEEE Journal of Selected …, 2020 - ieeexplore.ieee.org
In the course of global urbanization, poverty in cities has been observed to increase,
especially in the Global South. Poverty is one of the major challenges for our society in the …

Damaged building extraction using modified mask R-CNN model using post-event aerial images of the 2016 Kumamoto earthquake

Y Zhan, W Liu, Y Maruyama - Remote Sensing, 2022 - mdpi.com
Remote sensing is an effective method of evaluating building damage after a large-scale
natural disaster, such as an earthquake or a typhoon. In recent years, with the development …

[HTML][HTML] A bottom-up building stock quantification methodology for construction minerals using Earth Observation. The case of Hanoi

T Bide, A Novellino, E Petavratzi, CS Watson - Cleaner Environmental …, 2023 - Elsevier
Increasing demand for significant volumes of construction materials, especially sand for use
in concrete, in rapidly developing urban environments is becoming a significant socio …

Comparing established visitor monitoring approaches with triggered trail camera images and machine learning based computer vision

J Staab, E Udas, M Mayer, H Taubenböck… - Journal of Outdoor …, 2021 - Elsevier
The management of protected areas and other recreational landscapes is subject to a
variety of challenges. One aspect hereof, visitor monitoring, is crucial for many management …