Research on shoreline extraction for high-resolution remote sensing image based on improved marked watershed algorithm

doi:10.3969/j.issn.1001-909X.2021.01.003

Abstract

Abstract: The use of remote sensing technology to quickly extract the shorelines of islands is an important technology. An approach of marked watershed based on extended extremum transform was proposed in this study, solving the problems of over-segmentation and poor anti-interference ability of traditional watershed algorithm in high-resolution multispectral satellite data processing. Firstly, the foreground and background markers were established by morphological reconstruction and extended extremum transform to suppress the minimum and maximum gray regions initially, then the gradient image was modified based on above markers, and finally the island shoreline was extracted based on the improved watershed transform method. The typical islands located in the South China Sea region were selected, and the accuracy and reliability of the proposed method were verified using 2017 GF-2 satellite data. The results show that the accuracy of artificial shorelines is higher than 90% within 1 pixel(4 m) for island shorelines, and the accuracy of sandy shorelines is higher than 90% within 1.5 pixels(6 m), confirmed that the proposed method can be used for segmentation of high-resolution multispectral images and extraction of island shoreline.

Key words: island shoreline, GF-2, extended extremum transform, marked watershed

CLC Number:

TP79
P237

LUAN Kuifeng, LIU Shuai, PAN Yujia, ZHU Weidong, LI Pixue, QIU Cheng, QIU Zhen'ge, SHEN Wei, WANG Jie, WANG Zhenhua. Research on shoreline extraction for high-resolution remote sensing image based on improved marked watershed algorithm[J]. Journal of Marine Sciences, 2021, 39(1): 20-28.

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