Open AccessImprovement and Application Analysis of Lake Water Body Tracking and Recognition Algorithm
Author(s) -
Qu Huihui,
Pei Liang,
Xuefeng Sang
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/453/1/012010
Subject(s) - waterline , shore , water body , attenuation , water area , water level , hydrology (agriculture) , environmental science , surface water , dike , precipitation , underwater , algorithm , geology , oceanography , geography , computer science , environmental engineering , meteorology , cartography , geotechnical engineering , physics , geochemistry , hull , optics
Basing on 30 years’ historical image data sources of Sanshan Lake between 1986 and 2017, this paper proposes a water body tracking and recognition algorithm according to the complex water area features of the lake and its branches to conduct the extraction of the historical water surface area and analysis on influence factors of Sanshan Lake. Comparing to conventional image extraction methods such as the region growing algorithm and the two-pass scanning method, this method shows its advantage of being fast and accurate. By analysing the water surface variation law of Sanshan Lake in 30 years and the influence factors, the area of Sanshan Lake is found to show a significant attenuation trend with the annual average attenuation rate reaches 0.98%; the water surface area weakly correlated with the precipitation change; the lake shore waterline line retreated 0.3- 10 meters in the 30 years; the pond and farmland area increased by 133%, indicating that the regulation of the lake water body is more affected by the lake shoreline dike and the Regulating capacity of gate pump.