Coupling Dilated Encoder–Decoder Network for Multi-Channel Airborne LiDAR Bathymetry Full-Waveform Denoising
نویسندگان
چکیده
Multi-channel airborne full-waveform LiDAR is widely used for high-precision underwater depth measurement. However, the signal quality of data unstable due to influence background light, dark current noise, and complex transmission process. Therefore, we propose a nonlocal encoder block (NLEB) based on spatial dilated convolution optimize feature extraction adjacent frames. On this basis, coupled denoising encoder–decoder network proposed that takes advantage echo correlation in deep-water shallow-water channels. Firstly, full waveforms from different channels are stacked together form two-dimensional tensor input into network. Then, NLEB extract local features 2D tensor. After fusing two channels, reconstructed denoised can be obtained by upsampling with fully connected layer deconvolution layer. Based measured set, constructed noise–noisier which several algorithms were compared. The results show method improves stability using inter-channel multi-frame correlation.
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ژورنال
عنوان ژورنال: Remote Sensing
سال: 2023
ISSN: ['2315-4632', '2315-4675']
DOI: https://doi.org/10.3390/rs15133293