A Hybrid Attention-Aware Fusion Network (HAFNet) for Building Extraction from High-Resolution Imagery and LiDAR Data
Automated extraction of buildings from earth observation (EO) data has long been a fundamental but challenging research topic. Combining data from different modalities (e.g., high-resolution imagery (HRI) and light detection and ranging (LiDAR) data) has shown great potential in building extraction....
Main Authors: | Peng Zhang, Peijun Du, Cong Lin, Xin Wang, Erzhu Li, Zhaohui Xue, Xuyu Bai |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-11-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/12/22/3764 |
Similar Items
-
A Novel Approach to Robust LiDAR/Optical Imagery Registration
by: Ju, Hui
Published: (2013) -
Hyperspectral and LiDAR Data Fusion: Outcome of the 2013 GRSS Data Fusion Contest
by: Christian Debes, et al.
Published: (2014-01-01) -
Color Image Generation from Range and Reflection Data of LiDAR
by: Hyun-Koo Kim, et al.
Published: (2020-09-01) -
Influence of Waveform Characteristics on LiDAR Ranging Accuracy and Precision
by: Xiaolu Li, et al.
Published: (2018-04-01) -
Comparison of Machine Learning Algorithms for Wildland-Urban Interface Fuelbreak Planning Integrating ALS and UAV-borne LiDAR Data and Multispectral Images
by: Francisco Rodríguez-Puerta, et al.
Published: (2020-06-01)