A method of extracting water body information through data fusion

Abstract

The invention discloses a method for extracting water body information through data fusion. The steps are as follows: S1. Obtain optical image data and SAR observation image data covering a research area; S2. Preprocess the optical image data in S1; S3. Based on the preprocessing results in S2, obtain the surface albedo value on each pixel, obtain the water body index through band calculation, and select the water body index map with the best extraction effect; S4. SAR observation image data is preprocessed to obtain the backscatter coefficient map of ground objects; S5, establish a relationship between the water body index map determined in S3 and the backscatter coefficient map obtained in S4, and perform data fusion to obtain Water body information. This fusion method can obtain water body information scientifically, accurately, and quickly, grasp the spatiotemporal change law of water body, and provide a theoretical basis for the effective use and rational planning of water resources.

Description

technical field [0001] The invention relates to the field of water resource management, in particular to a method for extracting water body information through data fusion. Background technique [0002] Water is the source of life, and water resources play a particularly important role in the development of a country and society. The traditional method of obtaining water body information is mainly to analyze the data obtained by artificial field monitoring and hydrological monitoring stations. Although the accuracy of field monitoring data is the highest, the field monitoring period is long, the cost is high, and the monitoring range is limited. In addition, the seasonal changes of water bodies are large, and the interannual changes are obvious, which are not conducive to obtaining long-term and large-scale water body information. [0003] Remote sensing technology is increasingly used in monitoring water bodies. Remote sensing images have a wide coverage and a short peri...

AI Technical Summary

Problems solved by technology

Optical images have rich band information, but images are affected by weather conditions. In cloudy thunderstorms and other weather conditions, the image quality is poor and water body information cannot be extracted; SAR has the ability to monitor all-weather and all-weather, and can penetrate clouds and fog , not affected by weather, but SAR is easily affected by terrain and coherent speckle noise when extracting water body information, resulting in low accuracy of extraction results

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