Evaluation of Automatic Building Detection Approaches Combining High Resolution Images and LiDAR Data
In this paper, two main approaches for automatic building detection and localization using high spatial resolution imagery and LiDAR data are compared and evaluated: thresholding-based and object-based classification. The thresholding-based approach is founded on the establishment of two threshold v...
Main Authors: | Javier Estornell, Jorge A. Recio, Txomin Hermosilla, Luis A. Ruiz |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2011-06-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | http://www.mdpi.com/2072-4292/3/6/1188/ |
Similar Items
-
Automatic Building Extraction via Adaptive Iterative Segmentation With LiDAR Data and High Spatial Resolution Imagery Fusion
by: Shanxiong Chen, et al.
Published: (2020-01-01) -
Optimizing the Spatial Structure of Metasequoia Plantation Forest Based on UAV-LiDAR and Backpack-LiDAR
by: Chao Chen, et al.
Published: (2023-08-01) -
LiDAR Intensity Completion: Fully Exploiting the Message from LiDAR Sensors
by: Weichen Dai, et al.
Published: (2022-10-01) -
Mathematical modelling applied to LiDAR data
by: Javier Estornell, et al.
Published: (2013-06-01) -
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)