Comparison and analysis of two shallow water depth inversion models using multispectral remote sensing images

doi:10.3969/j.issn.1001-909X.2020.01.006

Abstract

Abstract: Using the WorldView-2 high-resolution satellite images, two models were studied: log transform model(Stumpf 2003) and dual bands linear regression model(Lyzenga 1985). Firstly, the correlation between water depth and each band was analyzed under different sediment conditions. Then the L-M(Levenberg-Marquardt) algorithm was used to solve the model parameters. Finally, the accuracy of the two models was compared and analyzed. The results show that for coral sediment, the determination coefficient and root mean square error of Lyzenga 1985 model are 0.902 and 1.651 respectively, which are better than those of Stumpf 2003 model(0.882, 6.421); For sandy sediment, the determination coefficient and root mean square error of Lyzenga 1985 model are 0.897 and 0.529 respectively, which are better than those of Stumpf 2003 model(0.779, 0.723). It can be seen that Lyzenga 1985 model is better than Stumpf 2003 model in the area of clear coral and sandy sediment, and Lyzenga 1985 model has stronger universality and can present relatively stable inversion effect.

Key words: bathymetric inversion, logarithmic transformation model, two-bands linear regression model, Levenberg-Marquardt algorithm, the inversion accuracy

CLC Number:

P237
P229.1

QI Jiawei, REN Zhaoyu, ZHAO Jinxiu, ZHU Jinshan. Comparison and analysis of two shallow water depth inversion models using multispectral remote sensing images[J]. Journal of Marine Sciences, 2020, 38(1): 50-58.

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