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A Novel Dynamic Warping Fusion (DWF) Method for Full-Waveform Hyperspectral LiDAR Signal Correction and Decomposition

Yishuo Hao,Zheng Niu,Wang Li,Jie Bai,Li Wang,Kaiyi Bi

Published 2025 in IEEE Transactions on Geoscience and Remote Sensing

ABSTRACT

Full-waveform hyperspectral LiDAR (HSL) provides multichannel echo signals that capture both geometric and spectral information. However, the instrument’s optical system introduces challenges like interchannel time-delay effects and multichannel response heterogeneity, leading to uncertainties in HSL waveform parameter extraction and quantitative applications. Therefore, we propose a dynamic warping fusion (DWF) method for HSL signal correction and decomposition. The DWF method incorporates derivative dynamic time warping (DDTW) for multichannel signal alignment and panchromatic band waveform synthesis, eliminating uncertainties in target position extraction. Subsequently, inverse DDTW is applied to generate unique initialization parameters for each channel, reducing the risks of missed detection and oversegmentation. The results suggest that: 1) the DWF method demonstrates excellent decomposition performance on simulated datasets, exhibiting robustness across varying interchannel time-delay levels ( $R^{2}\gt 0.97$ and root-mean-square error (RMSE) <0.24); 2) the synthesized panchromatic band demonstrates superior spatial information extraction capabilities, with an average relative neighbor distance error (RNDE) <2.51%; 3) a new multiband LiDAR spectral similarity index (MLSI) is introduced, showing that spectral curves based on waveform integrated areas are closer to the true spectrum than those based on peak intensities; and 4) performance validation on measured datasets confirms the superiority of DWF over the previous multichannel interconnection waveform decomposition (MIWD) approach, reducing RNDE from 5.11% to 2.27%. The proposed approach leverages waveform shape features for interchannel time-delay correction and waveform decomposition, providing a valuable reference for signal decomposition across various HSL devices and similar data processing tasks.

PUBLICATION RECORD

  • Publication year

    2025

  • Venue

    IEEE Transactions on Geoscience and Remote Sensing

  • Publication date

    Unknown publication date

  • Fields of study

    Physics, Computer Science, Engineering, Environmental Science

  • Identifiers
    DOI 10.1109/TGRS.2025.3631229
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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