Construction of tidal flat DEM based on multi-algorithm waterline extraction

doi:10.6046/gtzyyg.2019337

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Abstract

The waterline method is an effective way to obtain a large area of silty tidal flat terrain. Accurate extraction of the waterline is the key to the construction of the tidal flat digital elevation model (DEM). Affected by the tidal conditions and the surface of the tidal flat, the waterlines in different satellite images have large differences in spectrum and texture. It is difficult to extract waterlines accurately using a single method. In this paper, a tidal flat DEM construction method based on multi-algorithm waterline extraction is proposed. The waterlines are classified into four categories according to the tide conditions and are extracted by edge detection, threshold segmentation, object-based segmentation, and improved watershed algorithm respectively. Then, combined with the instantaneous tide level of waterlines, the tidal flat DEM is constructed. In this paper, the method was verified using Laizhou Bay as the research area. There was a high correlation between the inversion elevation and the measured elevation, R ²=0.86, and relative error was between 0.31~0.78 m. It is shown that the method in this paper can effectively obtain the approximate topography of the tidal flat.

Keywords waterline extraction silty tidal flat digital elevation model watershed algorithm

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TP79

Issue Date: 18 March 2021

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	Tianqi LI
	Jianchao WANG
	Fang WU
	Zheng ZHAO
	Wenkai ZHANG

Cite this article:

Tianqi LI,Jianchao WANG,Fang WU, et al. Construction of tidal flat DEM based on multi-algorithm waterline extraction[J]. Remote Sensing for Land & Resources, 2021, 33(1): 38-44.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2019337 OR https://www.gtzyyg.com/EN/Y2021/V33/I1/38

Fig.1 Location map of the study area

Fig.2 Classification rules of waterline

Tab.1 Waterline classification results

Fig.3 Waterline extraction result based on Canny edge detection

Fig.4 Waterline extraction result based on NDWI threshold segmentation

Fig.5 Waterline extraction result based on object-based segmentation

Fig.6 Flow chart of improved watershed algorithm

Fig.7 Waterline extraction result based on improved watershed algorithm

Tab.2 Instantaneous tidal level of waterlines(cm)

Fig.8 Selection result of waterlines

Fig.9 Inversion result of tidal flat DEM

Fig.10 Distribution of verification points

Fig.11 Correlation analysis

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