Layered water body extraction method for enhancing water body index driving

By constructing a layered water body extraction method that enhances water body index and multispectral vegetation index, combined with cloud shadow index, the problem of water body extraction in traditional methods in complex environments is solved, and efficient and accurate water body information is achieved, which is suitable for flood disaster monitoring and water resource management.

CN120472323AActive Publication Date: 2025-08-12CENT SOUTH UNIV
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Patent Information

Application Number
CN202510954509.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-07-11
Publication Date
2025-08-12
Estimated Expiration
2045-07-11

AI Technical Summary

Technical Problem

Traditional water body extraction methods are difficult to accurately identify the water body area under complex environmental conditions, especially under interference such as clouds, thin clouds, turbid water bodies and cloud shadows, which lead to difficulty in obtaining the precise distribution of water body.

Method used

The layered water body extraction method driven by enhanced water body index is adopted, and efficient and accurate extraction of water body bodies is achieved by constructing enhanced water body index (EWI), improved multispectral vegetation index and cloud shadow index, combined with threshold segmentation and voting decisions for multi-layer landform distribution.

Benefits of technology

It significantly improves the accuracy and efficiency of water extraction, can effectively suppress interference from clouds, thin clouds and turbid water bodies, improves the reliability and automated identification capabilities of water body information, and is suitable for flood disaster monitoring and water resource management.

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Abstract

The invention relates to the field of remote sensing science, and discloses a layered water body extraction method for enhancing water body index driving, which comprises the following steps: preprocessing a remote sensing image; calculating a remote sensing index; segmenting ground feature features; performing hierarchical feature fusion and decision voting; and water body space distribution and drawing. According to the method, the enhanced water body index EWI is constructed by using the space-time invariance of ground feature spectral information, and the ground feature features in the scene are subjected to conjoint analysis in combination with remote sensing indexes such as vegetation and cloud, so that accurate quantitative recognition of surface water body distribution is realized. Aiming at the problem that a water body in a remote sensing image and other interference ground objects present a similar trend in spectral characteristics, the method is combined with EWI and other remote sensing indexes to provide a layered water body extraction strategy, so that a spectral signal of the water body can be remarkably enhanced under a thin cloud coverage condition, interference caused by cloud and shadow can be effectively inhibited, and the accuracy of the water body extraction is improved. The accuracy of water body extraction is improved; the method has wide application prospects in the fields of flood disaster emergency response, water resource management and the like.
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