Method and system for extracting information of urban water body

Abstract

The invention relates to a method and system for extracting information of an urban water body. The method comprises: S1, carrying out data preprocessing on an urban remote sensing image captured by a satellite to obtain a preprocessed image; S2, carrying out image segmentation on the preprocessed image according to a preset segmentation parameter to obtain a mean value image having feature groups including a spectral feature, a topological feature, a shape feature and an length-width ratio feature; S3, carrying out a spectral feature analysis on the mean value image to obtain a typical ground object spectral curve graph including spectral curves of all typical ground objects containing a building, a water body and a shadow, at all wave bands; and S4, according to the feature group, extracting water body information in the typical ground object spectral curve graph. According to the invention, the method and system have the following beneficial effects: the water body is effectively extracted based on the spectral features of the ground objects, the shape features, topological relations, and length-width ratio information of the ground objects; and the extraction accuracy is ensured.

Description

Technical field [0001] The invention relates to the technical field of urban water bodies, in particular to a method and system for extracting urban water body information. Background technique [0002] Cities are the embodiment of the high development of human society. As an important factor in the urban ecosystem, urban water plays an important role in the development of the city, the quality of the living environment of residents, and the stability of the ecosystem. Therefore, the extraction of urban water information has always been It is the research focus of remote sensing technology in the field of information extraction. [0003] The use of satellite remote sensing data to extract water bodies has been extensively studied in the past 20 years. The remote sensing analysis method for water bodies is to make full use of the spectral characteristics of remote sensing images, but for high-resolution remote sensing images, the shape of the target is clearly visible, and the stru...

AI Technical Summary

Problems solved by technology

The remote sensing analysis method for water bodies is to make full use of the spectral characteristics of remote sensing images, but for high-resolution remote sensing images, the shape of the target object is clearly visible, and the structure, shape, texture and details of the landscape on the image are very prominent, while The spectral resolution is not high, and the spectral features are not as rich as the spatial features

Therefore, for high-resolution images, if only relying on spectral features when classifying, the extracted water body information will be inaccurate

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