Method for extracting water body information through data fusion

Abstract

The invention discloses a method for extracting water body information through data fusion. The method comprises the following steps: S1, obtaining optical image data and SAR observation image data covering a research area range; s2, preprocessing the optical image data in the step S1; s3, acquiring a surface reflectance value on each pixel based on a preprocessing result in the S2, acquiring a water body index through waveband calculation, and selecting a water body index graph with an optimal extraction effect; s4, preprocessing the SAR observation image data in the step S1 to obtain a backscattering coefficient graph of a ground object; and S5, establishing a relationship between the water body index map determined in the S3 and the backscattering coefficient map obtained in the S4, andperforming data fusion to obtain water body information. The fusion method can scientifically, accurately and quickly obtain the water body information, grasp the space-time change rule of the waterbody, and provide a theoretical basis for effective utilization and reasonable 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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