A coastline extraction method and system based on remote sensing image classification

Abstract

The invention relates to a coastline extraction method and system based on remote sensing image classification. Including: performing multi-scale segmentation on the input remote sensing image, extracting the data of the first sea-land boundary line and the second sea-land boundary line data in the remote sensing image, and obtaining the outer boundary data on the landward side; sampling on the outer boundary data, And calculate the first waterline difference data of the two sea-land boundary data at each sampling point; calculate the first tide level and the second tide level of the two remote sensing images, and the highest tide level in the area to be extracted, and calculate the first tide level and the The first tidal range between the second tide level, and the second tidal range between the second tide level and the highest tide level; calculate the second level of the highest tide level based on the data of the first tidal range, the second tidal range, and the first water line difference For the line difference data, according to the second waterline difference data, all the sampling points are shifted to the land side, and then spline interpolation is performed to obtain the coastline data of the area to be extracted. The invention can effectively improve the coastline extraction efficiency and accuracy.

Description

technical field [0001] The invention relates to the technical field of ecological environment monitoring, in particular to a coastline extraction method and system based on remote sensing image classification. Background technique [0002] The coastline is the functional boundary between ocean and land. Among them, the general silt and muddy smooth coastline is an important part of my country's coastline. Generally, the beach surface of silty muddy smooth beach is very gentle, with a slope of only 1 / 1000-1 / 3000. Generally, the intertidal zone of the silt and muddy smooth coast is relatively wide, and obvious tidal grooves can be seen in the intertidal zone. The identification and extraction of the coastline of the general silt and muddy smooth beach is not only a prerequisite for carrying out work such as sea-land coupling, urban expansion, and coastal area development, but also an important topic for research work such as geographic information management and coastal zone...

AI Technical Summary

Problems solved by technology

[0008] To sum up, although remote sensing technology has the advantages of real-time, dynamic, short period, and large range, the existing coastline extraction method based on remote sensing technology only uses the water-land boundary line in the image data as the coastline of the coast, but the actual The situation is that the imaging time of general remote sensing images often cannot accurately correspond to the local spring tide or high tide water level, so the general tide level waterline must be used to deduce the high tide waterline. Therefore, the technology for identifying or extracting the coastline in the strict sense is still very immature

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