Separability of targets in urban areas using features from full-waveform LiDARA data

Abstract

Geometric and radiometric attributes of targets are provided by full-waveform LiDAR data. However, the accuracy of such information depends largely on the adopted data processing method. In this study, the emphasis is on the retrieval of the temporal target cross-section by regularization methods, with the subsequent extraction of the backscattering cross-section (BCS) and backscatter coefficient (BC), the aim being to characterize different classes in an urban scene. In particular, a sparsity constraint regularization method has been investigated to provide a temporal target response with high resolution. The L-curve method is represented as a proper approach for estimation of the optimal r..