Urban Functional Zone Classification Using Light-Detection-and-Ranging Point Clouds, Aerial Images, and Point-of-Interest Data
Urban Functional Zones (UFZs) serve as the fundamental units of cities, making the classification and recognition of UFZs of paramount importance for urban planning and development. These differences between UFZs not only encompass geographical landscape disparities but also incorporate socio-econom...
Main Authors: | You Mo, Zhaocheng Guo, Ruofei Zhong, Wen Song, Shisong Cao |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-01-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/16/2/386 |
Similar Items
-
Airborne LiDAR Intensity Correction Based on a New Method for Incidence Angle Correction for Improving Land-Cover Classification
by: Qiong Wu, et al.
Published: (2021-02-01) -
Fusion of Airborne LiDAR Point Clouds and Aerial Images for Heterogeneous Land-Use Urban Mapping
by: Yasmine Megahed, et al.
Published: (2021-02-01) -
Comparison of Filters for Archaeology-Specific Ground Extraction from Airborne LiDAR Point Clouds
by: Benjamin Štular, et al.
Published: (2020-09-01) -
Extracting Urban Road Footprints from Airborne LiDAR Point Clouds with PointNet++ and Two-Step Post-Processing
by: Haichi Ma, et al.
Published: (2022-02-01) -
Airborne LiDAR Strip Adjustment Method Based on Point Clouds with Planar Neighborhoods
by: Zhenxing Sun, et al.
Published: (2023-11-01)