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 …

Deep learning for processing and analysis of remote sensing big data: A technical review

X Zhang, Y Zhou, J Luo - Big Earth Data, 2022 - Taylor & Francis
In recent years, the rapid development of Earth observation technology has produced an
increasing growth in remote sensing big data, posing serious challenges for effective and …

Rsgpt: A remote sensing vision language model and benchmark

Y Hu, J Yuan, C Wen, X Lu, X Li - ar** remote sensing technology provides massive data for urban planning,
map**, and disaster management. As a carrier of human productive activities, buildings …

Directionally constrained fully convolutional neural network for airborne LiDAR point cloud classification

C Wen, L Yang, X Li, L Peng, T Chi - ISPRS journal of photogrammetry and …, 2020 - Elsevier
Point cloud classification plays an important role in a wide range of airborne light detection
and ranging (LiDAR) applications, such as topographic map**, forest monitoring, power …

Building footprint extraction from high resolution aerial images using generative adversarial network (GAN) architecture

A Abdollahi, B Pradhan, S Gite, A Alamri - IEEE Access, 2020 - ieeexplore.ieee.org
Building extraction with high accuracy using semantic segmentation from high-resolution
remotely sensed imagery has a wide range of applications like urban planning, updating of …