An Adaptive Gaussian Low-pass Filtering Method for Extracting Black Soil Organic Matter Information

Abstract

The invention belongs to the technical field of information extraction, and particularly relates to an adaptive Gaussian low-pass filtering algorithm for extracting black soil organic matter information. The invention aims to provide a self-adaptive Gaussian low-pass filtering algorithm for extracting black soil organic matter information in order to overcome the defects in the prior art. The method comprises the following steps: step 1, carrying out hyperspectral pretreatment on the black land; Step 2, carrying out frequency domain conversion; Step 3, performing self-adaptive Gaussian filtering; Step 4, performing graded extraction; 5, obtaining organic matter extraction result; carrying out comprehensive mapping on the organic matters with various levels of contents to form an aviation hyperspectral extraction result with the organic matter content; wherein the parameters with the highest overall precision and the highest Kappa coefficient are set to be 1 = 0.5 and 1 = 1.1 and applied to black soil organic matter operation, and after classification, the organic matter content of each level is given according to ground analysis data, and the spatial distribution condition of the black soil organic matter content is obtained.

Description

Technical field[0001]The invention belongs to the technical field of information extraction, and in particular relates to an adaptive Gaussian low-pass filtering method for black soil organic matter information extraction.Background technique[0002]The black soil in northeast my country is rich in organic matter, and the introduction of aerial hyperspectral data can provide new technical means for scientifically evaluating the quality of black soil. In the identification of the organic matter content of black soil based on hyperspectral data, the spectral data is understood as the energy distribution map reflecting the target electromagnetic radiation characteristics of the black soil composition content. This processing only describes the spectral characteristics of the energy distribution of the ground objects, which is a single image of black soil The method of meta-analysis can extract limited black soil information. In order to grasp the law of remote sensing optical system info...

AI Technical Summary

Problems solved by technology

[0003] The conventional method is to separately process the energy expression of the black soil pixel spectrum and the representation of the spectrum energy in the frequency domain. This processing cannot redistribute the original spectral data to another space, and cannot reflect the energy change law in the spatial domain image, making The spatial characteristics of black soil such as hue, texture, direction and boundary cannot be involved in soil quality assessment, and the assessment results are often not a comprehensive set of black soil characteristics, which limits the accuracy of black soil organic matter information extraction

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