[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 …

A review of regional and Global scale Land Use/Land Cover (LULC) map** products generated from satellite remote sensing

Y Wang, Y Sun, X Cao, Y Wang, W Zhang… - ISPRS Journal of …, 2023 - Elsevier
Abstract Land Use and Land Cover (LULC) map** products are essential for various
environmental studies, including ecological environmental assessments, resource …

Anthropogenic land use and land cover changes—A review on its environmental consequences and climate change

PS Roy, RM Ramachandran, O Paul, PK Thakur… - Journal of the Indian …, 2022 - Springer
The global demand for food and bioenergy changes associated with land use and land
cover change (LULCC) has raised concerns about the environment, global warming, and …

[HTML][HTML] A review of spatially-explicit GeoAI applications in Urban Geography

P Liu, F Biljecki - International Journal of Applied Earth Observation and …, 2022 - Elsevier
Urban Geography studies forms, social fabrics, and economic structures of cities from a
geographic perspective. Catalysed by the increasingly abundant spatial big data, Urban …

Urban remote sensing with spatial big data: A review and renewed perspective of urban studies in recent decades

D Yu, C Fang - Remote Sensing, 2023 - mdpi.com
During the past decades, multiple remote sensing data sources, including nighttime light
images, high spatial resolution multispectral satellite images, unmanned drone images, and …

Knowledge and topology: A two layer spatially dependent graph neural networks to identify urban functions with time-series street view image

Y Zhang, P Liu, F Biljecki - ISPRS Journal of Photogrammetry and Remote …, 2023 - Elsevier
With the rise of GeoAI research, streetscape imagery has received extensive attention due to
its comprehensive coverage, abundant information, and accessibility. However, obtaining a …

Multiscale location attention network for building and water segmentation of remote sensing image

X Dai, M **a, L Weng, K Hu, H Lin… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Traditional building and water segmentation methods are vulnerable to noise interference,
and hence, they could not avoid missed and false detections in the detection process …

Trustworthy remote sensing interpretation: Concepts, technologies, and applications

S Wang, W Han, X Huang, X Zhang, L Wang… - ISPRS Journal of …, 2024 - Elsevier
Geographic spaces is a vast and complex system involving multiple elements and nonlinear
interactions of these elements, and rich in geographical phenomena, processes and …

[HTML][HTML] A comprehensive framework for evaluating the quality of street view imagery

Y Hou, F Biljecki - International Journal of Applied Earth Observation and …, 2022 - Elsevier
Street view imagery (SVI) is increasingly in competition with traditional remote sensing
sources and assuming its domination in myriads of studies, mainly thanks to the …

[HTML][HTML] 3D building reconstruction from single street view images using deep learning

HE Pang, F Biljecki - International Journal of Applied Earth Observation and …, 2022 - Elsevier
Abstract 3D building models are an established instance of geospatial information in the
built environment, but their acquisition remains complex and topical. Approaches to …