Sandy coastline fine extraction and correction method based on high resolution image

Yin Hang; Qi Hongshuai; Cai Feng; Zhang Chi; Liu Gen; Zhao Shaohua; Song Jiacheng; Zhao Guorun

doi:10.12284/hyxb2022084

Volume 44 Issue 4

Apr. 2022

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Yin Hang，Qi Hongshuai，Cai Feng, et al. Sandy coastline fine extraction and correction method based on high resolution image[J]. Haiyang Xuebao，2022, 44(4)：143–152 doi: 10.12284/hyxb2022084

Citation:

Yin Hang，Qi Hongshuai，Cai Feng, et al. Sandy coastline fine extraction and correction method based on high resolution image[J]. Haiyang Xuebao，2022, 44(4)：143–152 doi: 10.12284/hyxb2022084

Citation:

Yin Hang，Qi Hongshuai，Cai Feng, et al. Sandy coastline fine extraction and correction method based on high resolution image[J]. Haiyang Xuebao，2022, 44(4)：143–152 doi: 10.12284/hyxb2022084

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Sandy coastline fine extraction and correction method based on high resolution image

doi: 10.12284/hyxb2022084

Yin Hang^1
,,
Qi Hongshuai^{1, 2
,
,},
Cai Feng^{1, 2},
Zhang Chi³,
Liu Gen¹,
Zhao Shaohua^{1, 2},
Song Jiacheng^{1, 3},
Zhao Guorun^{1, 3}

1.
Laboratory of Ocean and Coast Geology, Third Institute of Oceanography, Ministry of Natural Resources, Xiamen 361005, China
2.
Fujian Provincial Key Laboratory of Marine Ecological Protection and Restoration, Xiamen 361005, China
3.
College of Harbor, Coastal and Offshore Engineering, Hohai University, Nanjing 210098, China

Received Date: 2021-07-19
Rev Recd Date: 2021-08-27
Publish Date: 2022-04-14

Abstract

Abstract

The stable acquisition of large-scale and continuous coastline data through remote sensing is an important basis for the development of coastal zone research. Aiming at the problems of noise sensitivity and threshold instability in the traditional edge detection algorithm for high-resolution remote sensing images, the strected forests edge detection algorithm based on the structured random forest model is introduced to identify the sandy shoreline of the west coast of Haikou City, and proposed based on the Bruun-Dean balanced profile model, a new method of tide level correction is established to fit the profile model, and finally the fine coastline data is extracted. Based on the measured data, the precision evaluation and error analysis of the extraction results are carried out, and the prospects for method improvement and popularization and application are put forward. The research show that: (1) the result of the water edge line detected by the strected forests edge detection algorithm is clear and delicate, which is more accurate and efficient than the traditional edge detection operator methods such as Roberts operator, Canny operator, and LoG operator, and is suitable for the study of coastline extraction from high-resolution remote sensing images; (2) aiming at the tide level correction of the sandy coastline, the fitted profile model established based on the RTK measured data and the fitted profile model overcomes the large error of the traditional linear model and improves the accuracy and feasibility of the coastline correction; (3) based on actual measurement for the shoreline, the results are quantitatively analyzed using the section method, and it is verified that the positioning accuracy of the extracted shoreline is better than 2.5 m.
- WorldView-2,
- coastline,
- edge detection,
- balanced profile mode,
- tide level correction,
- high resolution image

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References(45)

References

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