[HTML][HTML] Deep learning in multimodal remote sensing data fusion: A comprehensive review

J Li, D Hong, L Gao, J Yao, K Zheng, B Zhang… - International Journal of …, 2022 - Elsevier
With the extremely rapid advances in remote sensing (RS) technology, a great quantity of
Earth observation (EO) data featuring considerable and complicated heterogeneity are …

[HTML][HTML] Integrating remote sensing and geospatial big data for urban land use mapping: A review

J Yin, J Dong, NAS Hamm, Z Li, J Wang, H Xing… - International Journal of …, 2021 - Elsevier
Remote Sensing (RS) has been used in urban mapping for a long time; however, the
complexity and diversity of urban functional patterns are difficult to be captured by RS only …

A unified deep learning framework for urban functional zone extraction based on multi-source heterogeneous data

W Lu, C Tao, H Li, J Qi, Y Li - Remote Sensing of Environment, 2022 - Elsevier
Remote sensing imagery (RSI) and point of interest (POI) are two complementary data for
urban functional zone (UFZ) extraction. However, current methods only use single data or …

Mapping large-scale and fine-grained urban functional zones from VHR images using a multi-scale semantic segmentation network and object based approach

S Du, S Du, B Liu, X Zhang - Remote Sensing of Environment, 2021 - Elsevier
Urban functional zones (UFZs) are essential for characterizing both urban spatial
configurations and socio-economic properties and monitoring urbanization process, thus …

SALT: A multifeature ensemble learning framework for mapping urban functional zones from VGI data and VHR images

H Wu, W Luo, A Lin, F Hao… - … Environment and Urban …, 2023 - Elsevier
Urban functional zone mapping is essential for providing deeper insights into urban
morphology and improving urban planning. The emergence of Volunteered Geographic …

Mapping essential urban land use categories (EULUC) using geospatial big data: Progress, challenges, and opportunities

B Chen, B Xu, P Gong - Big Earth Data, 2021 - Taylor & Francis
Urban land use information that reflects socio-economic functions and human activities is
critically essential for urban planning, landscape design, environmental management …

Classification schemes and identification methods for urban functional zone: A Review of Recent Papers

B Liu, Y Deng, M Li, J Yang, T Liu - Applied Sciences, 2021 - mdpi.com
Urbanization is accelerating due to economic and societal development. The accurate
identification of urban functional zones is significant for urban structure optimization, urban …

[HTML][HTML] Classifying urban functional regions by integrating buildings and points-of-interest using a stacking ensemble method

M Yang, B Kong, R Dang, X Yan - … Journal of Applied Earth Observation and …, 2022 - Elsevier
The automatic classification of urban functional regions is vital for urban planning and
governance. The current methods mainly rely on single remote sensing image data or social …

[HTML][HTML] Building use and mixed-use classification with a transformer-based network fusing satellite images and geospatial textual information

W Zhou, C Persello, M Li, A Stein - Remote Sensing of Environment, 2023 - Elsevier
Assigning detailed use categories to buildings is a challenging and relevant task in urban
land use classification with applications in urban planning, digital city modelling and …

A graph-based neural network approach to integrate multi-source data for urban building function classification

B Kong, T Ai, X Zou, X Yan, M Yang - Computers, Environment and Urban …, 2024 - Elsevier
Accurately understanding the functions of buildings is crucial for urban monitoring, analysis
of urban economic structures, and effectively allocating resources. Previous studies have …