activity
20192024
most cited1D-Convolutional Capsule Network for Hyperspectral Image Classification

19 citations · 44 across the 18 of their papers we have counts for

collaborators

18 papers

cs.CV2024

Test-time adaptation for geospatial point cloud semantic segmentation with distinct domain shifts

Puzuo Wang, Wei Yao, Jie Shao +1

Domain adaptation (DA) techniques help deep learning models generalize across data shifts for point cloud semantic segmentation (PCSS). Test-time adaptation (TTA) allows direct ada…

cs.CV2024

A Radiometric Correction based Optical Modeling Approach to Removing Reflection Noise in TLS Point Clouds of Urban Scenes

Li Fang, Tianyu Li, Yanghong Lin +2

Point clouds are vital in computer vision tasks such as 3D reconstruction, autonomous driving, and robotics. However, TLS-acquired point clouds often contain virtual points from re…

cs.CV2024

A sustainable development perspective on urban-scale roof greening priorities and benefits

Jie Shao, Wei Yao, Lei Luo +4

Greenspaces are tightly linked to human well-being. Yet, rapid urbanization has exacerbated greenspace exposure inequality and declining human life quality. Roof greening has been…

cs.CV2024

UB-FineNet: Urban Building Fine-grained Classification Network for Open-access Satellite Images

Zhiyi He, Wei Yao, Jie Shao +1

Fine classification of city-scale buildings from satellite remote sensing imagery is a crucial research area with significant implications for urban planning, infrastructure develo…

cs.CV2023★ 1 cited

Urban GeoBIM construction by integrating semantic LiDAR point clouds with as-designed BIM models

Jie Shao, Wei Yao, Puzuo Wang +2

Developments in three-dimensional real worlds promote the integration of geoinformation and building information models (BIM) known as GeoBIM in urban construction. Light detection…

cs.CV2023★ 1 cited

Classification of Single Tree Decay Stages from Combined Airborne LiDAR Data and CIR Imagery

Tsz Chung Wong, Abubakar Sani-Mohammed, Jinhong Wang +3

Understanding forest health is of great importance for the conservation of the integrity of forest ecosystems. In this regard, evaluating the amount and quality of dead wood is of…