Vegetation index time series data reconstruction method based on wavelet multi-scale decomposition

A multi-scale decomposition and time-series data technology, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., can solve the problems of non-stationarity of vegetation index time-series data, unsuitable for stationarity methods, etc., to achieve a wide range of applications, high precision effect

Active Publication Date: 2014-11-12
FUZHOU UNIV
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Problems solved by technology

These methods all have certain rationality and practical promotion value, but their shortcoming is that the vegetation index time series data are generally non-stationary, so it is not suitable to use the stationary method, so there are inevitably certain limitations

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  • Vegetation index time series data reconstruction method based on wavelet multi-scale decomposition
  • Vegetation index time series data reconstruction method based on wavelet multi-scale decomposition

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Embodiment Construction

[0008] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0009] The method for reconstructing vegetation index time series data based on wavelet multi-scale decomposition in the present invention, such as figure 1 As shown, using wavelet transform, the original vegetation index signal is decomposed into high-frequency and low-frequency components corresponding to half-moon, month, bimonthly, season, half-year, and inter-annual scales, and further based on the vegetation index on each scale Time-series data change law Select the appropriate model to reconstruct the vegetation index time-series data, and finally integrate the time-series data of different scales to realize the reconstruction of the vegetation index time-series data.

[0010] Specifically, the reconstruction method of vegetation index time-series data based on wavelet multi-scale decomposition in this embodiment further includes the f...

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Abstract

The invention relates to a vegetation index time series data reconstruction method based on wavelet multi-scale decomposition. The method is characterized by comprising the following steps: performing wavelet transformation according to the vegetation index time series data to respectively sequentially decompose the original time series data of vegetation indexes and climatic factors into corresponding half moth, month, double month, season, half a year, and time series data based on interannual scales; further selecting the climatic factor time series data under the corresponding scale according to the features of the vegetation index time series data in each scale; selecting a proper model; reconstructing time series data in different scales; finally combining the vegetation index time series data in all scales to realize the reconstruction of the original vegetation index time series data. The method has the characteristics of being high in precision and wide in applicable scope.

Description

technical field [0001] The present invention relates to the technical field of time series analysis, in particular to a reconstruction method for vegetation index (Vegetation index, VI) time series data based on wavelet multi-scale decomposition. Background technique [0002] The time series data of remote sensing vegetation index are widely used in the monitoring of dynamic changes in forest and crop vegetation. In the process of remote sensing data collection and image processing, due to the interference of various factors such as observation angles and clouds, the quality of the generated vegetation index time series data is not ideal. Therefore, it is necessary to further denoise and reconstruct the original vegetation index time series data. [0003] There are many methods for denoising and reconstructing vegetation index time series data, such as Best Slope Index Extraction (Best slope extraction, BISE), Fourier analysis, multivariate least squares, geostatistics, non...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
Inventor 邱炳文钟鸣
Owner FUZHOU UNIV
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