Open AccessThe research of artificial shoreline extraction based on airborne LIDAR data
Author(s) -
Li Hua,
Yao Lian Bi,
Hao Liu
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2006/1/012048
Subject(s) - shore , lidar , tracing , extraction (chemistry) , remote sensing , jump , geology , computer science , oceanography , chemistry , physics , chromatography , quantum mechanics , operating system
Shoreline is closely related to the management and development of the ocean, people’s life, and national economic construction, Therefore, it is particularly important to accurately obtain the location of the shoreline. The existing Shoreline Extraction methods are based on image data, lidar data, or the integration of the two kinds of data. However, due to the characteristics of image data, the extracted shoreline is often fragmentary or there are areas where shoreline can not be extracted, and the type of shoreline is more, there is no unified, uniform algorithm. Therefore, this paper attempts to extract shoreline of man-made construction areas from airborne lidar data, and the algorithm is implemented with C + + and PCL. The experimental results show that the method can extract shorelines completely with high precision. Compared with the contour tracing method, the shoreline extracted by this method is smoother, and there is no local regional jump.