Denoising method of remote sensing vegetation index time series data

Abstract

The invention relates to a denoising method of remote sensing vegetation index time series data, which comprises the following steps: interpolating data points at equal distances on a time axis according to remote sensing vegetation index time series data, synthetic date files, quality evaluation files and a preset interpolation rule to obtain the numerical values of the data points at equal distances and generate standard data, wherein the distance is a synthetic cycle of the remote sensing vegetation index time series data; searching all extreme points and generating characteristic point data in the standard data according to a preset inquiry rule; and carrying out filtering processing for the standard data according to the characteristic point data and a preset filtering rule to obtainfiltering data, and if the filtering data satisfies a preset judgment condition, then using the filtering data as the denoised remote sensing vegetation index time series data. The invention can effectively eliminate the noise in the remote sensing vegetation index time series data, can keep the characteristics of vegetation rapid change, has high processing speed and high efficiency.

Description

technical field [0001] The invention relates to remote sensing image processing technology, in particular to a method for denoising remote sensing vegetation index time series data. Background technique [0002] The remote sensing vegetation index (Vegetation Index, referred to as VI) time series data records the dynamic changes of surface vegetation (hereinafter referred to as vegetation). However, affected by factors such as cloud pollution and atmospheric variation, the time series data of remote sensing vegetation index often have a lot of noise, which limits the further application of the data. At present, many methods have been developed in related technologies to remove these noises (i.e. denoising methods for time series data of remote sensing vegetation indices), such as: the Best Index Slope Extraction method (abbreviated as BISE), modified BISE The Modified BISEFiltering, Fourier Analysis, the Weighted Least-Squares approach, the Polynomial Least Squares Operatio...

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Problems solved by technology

[0014] In view of this, the present invention proposes a denoising method for time series data of remote sensing vegetation index, which is used to solve the problem that the denoising method of time series data of remote sensing vegetation index in the related art cannot retain the characteristics of rapid changes in vegetation, and introduce new features after denoising. At least one of the problems of error, denoising processing speed and low efficiency

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