Multispectral remote sensing water depth inversion method based on improved GWR model

Abstract

The invention provides a multispectral remote sensing water depth inversion method based on an improved GWR model. The multispectral remote sensing water depth inversion method comprises the steps ofS1, performing image preprocessing to obtain reflectivity data; S2, enabling actually measured water depth data to correspond to the reflectivity data according to position information; S3, constructing a first water depth inversion model to perform water depth inversion on a whole research area to obtain water depth data corresponding to each sample point in the research area; S4, constructing asecond water depth inversion model based on the improved GWR model to perform pixel-by-pixel coefficient calibration to realize water depth inversion; and S5, comparing inversion results of the two models by using verification point so as to carry out precision verification, and outputting a water depth value obtained by inversion of the second water depth inversion model after completing the verification. According to the method, vertical heterogeneity is considered; and normalized vertical water depth information and horizontal coordinates are added into calculation of the optimal bandwidthand space weight matrix, so that the method is suitable for sea areas with large underwater topographic changes.

Description

technical field [0001] The invention relates to the technical field of space remote sensing, in particular to a multispectral remote sensing water depth inversion method based on an improved GWR model. Background technique [0002] Sea water depth is an important hydrological element and essential geospatial information for activities such as ocean navigation, marine environment governance, marine engineering construction, and marine resource development. Although the traditional water depth measurement method has high precision, it generally has the problems of low measurement efficiency, easy to miss small obstacles, and is easily affected by factors such as measurement time, weather, and waves. [0003] The physical basis of water depth remote sensing is that light has a certain penetration ability to water bodies. The water depth inversion model algorithm can be obtained from a simplified radiative transfer model. The simplified radiative transfer model is as follows: ...

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Problems solved by technology

[0013] In view of this, the present invention provides a multi-spectral remote sensing water depth inversion method based on the improved GWR model, aiming at the lack of consideration of the vertical heterogeneity in the existing GWR model, resulting in the large vertical heterogeneity of the sea area The problem of low accuracy of water depth inversion

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