A Sparsity-Based Regularization Approach for Deconvolution of Full-Waveform Airborne Lidar Data

A Sparsity-Based Regularization Approach for Deconvolution of Full-Waveform Airborne Lidar Data

Full-waveform lidar systems capture the complete backscattered signal from the interaction of the laser beam with targets located within the laser footprint. The resulting data have advantages over discrete return lidar, including higher accuracy of the range measurements and the possibility of retr...

Full description

Bibliographic Details
Main Authors: Mohsen Azadbakht, Clive S. Fraser, Kourosh Khoshelham
Format: Article
Language:English
Published: MDPI AG 2016-08-01
Series:Remote Sensing
Subjects:
deconvolution
full-waveform
lidar
L-curve
sparse solution
target cross-section
Online Access:http://www.mdpi.com/2072-4292/8/8/648

Internet

http://www.mdpi.com/2072-4292/8/8/648

Similar Items