Method for judging validity of high-resolution multispectral water depth inversion data based on spectral roughness information

Abstract

The invention discloses a method for judging validity of high-resolution multispectral water depth inversion data based on spectral roughness information, and relates to the field of marine surveying and mapping. The method comprises the following steps: selecting a plurality of wavebands in a multispectral image to set local sliding sub-windows, fitting a spectral trend surface based on an M robust estimation algorithm, respectively calculating a standard deviation of a residual vector in each local sliding sub-window to obtain a spectral roughness index, drawing a spectral roughness characteristic graph, and analyzing the distribution characteristics of the spectral roughness index to obtain the spectral roughness of the multispectral image. Extracting the distribution range of wave crests in the optical deepwater area, determining the spatial distribution of the optical deepwater area in the multispectral image, combining the optical deepwater area in each wave band of the multispectral image, and determining the effective area of the multispectral remote sensing inversion water depth. According to the method, the effectiveness of the high-resolution multispectral water depth inversion data can be directly judged without actually measured water depth data from spectral data, and the method has important application value in the fields of marine surveying and mapping, marine remote sensing and marine information.

Description

technical field [0001] The invention relates to the technical fields of ocean surveying and mapping and ocean remote sensing, in particular to a method for judging the validity of high-resolution multispectral water depth inversion data based on spectral roughness information. Background technique [0002] The depth retrieval technology using multispectral remote sensing appeared in the second half of the 20th century. With the rapid development of vehicles and sensors, the effect of multispectral remote sensing depth retrieval has been significantly improved. Multispectral images can be obtained by satellites or flying chess with extremely high measurement efficiency. The development of measurement tools has significantly improved the acquisition efficiency of coastal water depth information, and has broad application prospects in coastal ocean detection. Using multispectral images for water depth reflection It has become a research hotspot in recent years. [0003] Howeve...

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Problems solved by technology

[0005] In order to overcome the problem that the existing methods are difficult to accurately judge the validity of water depth inversion data, the present invention proposes a method for judging the validity of high-resolution multispectral water depth inversion data based on spectral roughness information. The method starts from the spectral data itself , the validity of the high-resolution multispectral depth retrieval data can be directly judged by using only the spectral roughness information without using the measured water depth data, which is conducive to the wide application of shallow water depth remote sensing inversion information

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