Object detection and image segmentation with deep learning on Earth observation data: A review—Part II: Applications

T Hoeser, F Bachofer, C Kuenzer - Remote Sensing, 2020 - mdpi.com
In Earth observation (EO), large-scale land-surface dynamics are traditionally analyzed by
investigating aggregated classes. The increase in data with a very high spatial resolution …

A Review of Building Extraction from Remote Sensing Imagery: Geometrical Structures and Semantic Attributes

Q Li, L Mou, Y Sun, Y Hua, Y Shi… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In the remote sensing community, extracting buildings from remote sensing imagery has
triggered great interest. While many studies have been conducted, a comprehensive review …

Building façade style classification from UAV imagery using a Pareto-optimized deep learning network

R Maskeliūnas, A Katkevičius, D Plonis, T Sledevič… - Electronics, 2022 - mdpi.com
The article focuses on utilizing unmanned aerial vehicles (UAV) to capture and classify
building façades of various forms of cultural sites and structures. We propose a Pareto …

Boundary shape-preserving model for building map** from high-resolution remote sensing images

A Hu, L Wu, S Chen, Y Xu, H Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The building is a critical urban element for develo** smart cities. Building extraction
research has experienced rapid development due to abundant remote sensing image data …

Beyond Grid Data: Exploring graph neural networks for Earth observation

S Zhao, Z Chen, Z **ong, Y Shi… - IEEE Geoscience and …, 2024 - ieeexplore.ieee.org
Earth Observation (EO) data analysis has been significantly revolutionized by deep learning
(DL), with applications typically limited to grid-like data structures. Graph Neural Networks …

RETRACTED ARTICLE: Boundary-guided DCNN for building extraction from high-resolution remote sensing images

S Yang, Q He, JH Lim, G Jeon - The International Journal of Advanced …, 2024 - Springer
In the area of remote sensing, automatic building extraction is a significant research topic
with wide prospects of application, such as population estimates, building change detection …

[PDF][PDF] Building Façade Style Classification from UAV Imagery Using a Pareto-Optimized Deep Learning Network. Electronics 2022, 11, 3450

R Maskeliunas, A Katkevicius, D Plonis, T Sledevic… - 2022 - academia.edu
The article focuses on utilizing unmanned aerial vehicles (UAV) to capture and classify
building façades of various forms of cultural sites and structures. We propose a Pareto …