Semi-Automatic Extraction of The Threshold Segmentation of Coastline Based on Coastline Type

Using remote sensing images to extract the shoreline is an important means of studying coastlines. In this paper, we propose a semi-automatic coastline extraction method based on the coastline type that uses region segmentation and edge detection image processing. Based on selected Landsat 4-5 TM an...

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Bibliographic Details
Published in:IOP conference series. Earth and environmental science 2021-03, Vol.690 (1), p.12019
Main Authors: Yu, Tan, Xu, Shuwen, Zhou, Xinyu, Xiao, Jiajun, Zhang, Bingxu
Format: Article
Language:English
Subjects:
Adaptability
Coasts
Control methods
Edge detection
Image processing
Image segmentation
Landsat
Landsat satellites
Remote sensing
Satellite imagery
Shorelines
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Summary:Using remote sensing images to extract the shoreline is an important means of studying coastlines. In this paper, we propose a semi-automatic coastline extraction method based on the coastline type that uses region segmentation and edge detection image processing. Based on selected Landsat 4-5 TM and Landsat 8 OLI_TIRS satellite images of Chongming Island from 1985 to 2017, we find that the point control method, neighborhood marking method, and targeted selection based on different shoreline types significantly improve the calculation efficiency, have good adaptability, and produce highly accurate shoreline extraction.
ISSN:1755-1307
1755-1315
DOI:10.1088/1755-1315/690/1/012019