Comparative Analysis of Digital Elevation Model Generation Methods Based on Sparse Modeling

نویسندگان

چکیده

With the spread of aerial laser bathymetry (ALB), seafloor topographies are being measured more frequently. Nevertheless, data deficiencies occur owing to seawater conditions and other factors. Conventional interpolation methods generally need produce digital elevation models (DEMs) with sufficient accuracy. If topographic features considered as a basis, DEM should be reproducible based on combination such features. The purpose this study is develop new generation sparse modeling. Based review definitions sparsity, we developed discrete cosine transform (DCT), DCT elastic net, K-singular value decomposition (K-SVD), Fourier regularization, wavelet total variation (TV) minimization, conducted comparative analysis. were applied artificially deficient ALB data, their accuracy was evaluated. Thus, conclusion, can confirm that K-SVD method appropriate when percentage low, TV minimization high. these results, also integrating both achieved an RMSE 0.128 m.

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ژورنال

عنوان ژورنال: Remote Sensing

سال: 2023

ISSN: ['2315-4632', '2315-4675']

DOI: https://doi.org/10.3390/rs15112714