Extraction method and system for bedrock coast line

Abstract

The invention relates to an extraction method for a bedrock coast line, comprising: based on an object-oriented method, performing multi-scale segmentation on remote sensing image data from which thebedrock coast line is going to be extracted; establishing operating characteristics according to the remote sensing image data after the multi-scale segmentation; establishing a membership functionaccording to the established operating characteristics; setting adiscrimination interval of the membership function for discriminating seawater by using a fuzzy rule, and assigning the membership function by using the discrimination interval; classifying the assigned membership function, and extracting a seawater object to obtain the bedrock coast line. The invention further relates to an extractionsystem for a bedrock coast line. The method and the system have strong global search capability and robustness, can better distinguish, extract and amplify the characteristics useful for classification, and are clear in classification result contour and low in degree of fragmentation of classification results.

Description

technical field [0001] The invention relates to a method and system for extracting bedrock coastline. Background technique [0002] The bedrock coast is an important part of the natural coast, which is usually composed of hard rocks with clear and distinct outer contours, and usually contains protruding headlands, and there are bays deep into the land between the headlands and other natural coastlines. In comparison, the shorelines of bedrock coasts tend to be particularly tortuous and complex. Bedrock coasts are often relatively steep, with very large slopes, and some areas are almost vertical. Therefore, even if the sea tide level changes greatly, the fluctuation of the water boundary line in the horizontal direction of the bedrock coast is not significant. Rocky shoreline extraction has minimal impact. In addition, the rock beach on the offshore side of the bedrock coast has the function of preventing seawater intrusion and corrosion, so the upwash of the spring tide ca...

AI Technical Summary

Problems solved by technology

At present, there are many membership functions that can be used for fuzzy classification, but there is still no definite criterion for solving the problem of bedrock coastline extraction, and there is no relevant comparative analysis of the extraction results of different membership functions.

For fuzzy classification algorithms, the results of classification using commonly used membership functions often face problems such as blurred edges, insufficient local convergence, severe patch fragmentation, and more scattered distributions.

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