Remote sensing cultivated land change detection method and system considering phenological characteristics

Abstract

The invention discloses a remote sensing cultivated land change detection method and system considering phenological characteristics. The method comprises the following steps: constructing a pluralityof time series data sets according to time series vegetation indexes; processing each time series data set by adopting an improved MPFIT algorithm to obtain a processed time series data set; constructing a multi-harmonic model corresponding to each time series data set according to each processed time series data set and double-peak or multi-peak distribution characteristics of the cultivated land in consideration of phenological years; optimizing each multi-harmonic model to obtain a cultivated land phenology time sequence track model corresponding to each time sequence data set; calculatingthe change intensity of the cultivated land based on the phenological time sequence track model of each cultivated land; judging whether the cultivated land changes or not according to the change intensity. According to the invention, the original change detection based on two points is improved to change detection based on two phenological time sequence tracks, the accuracy, precision and robustness of change detection are improved, and the authenticity of change information is ensured.

Description

Technical field [0001] The present invention relates to the field of remote sensing application and analysis, in particular to a remote sensing cultivated land change detection method and system taking into account phenological characteristics. Background technique [0002] Timely and accurate acquisition of the spatial distribution and change information of cultivated land is of great significance to the optimal allocation of cultivated land resources, the formulation of protection policies, the study of ecological environment, and sustainable development planning. Because of its macroscopic, efficient and convenient advantages, remote sensing has been widely used to determine the spatial distribution and change analysis of large-scale cultivated land for many years. Remote sensing detection of cultivated land changes refers to the use of remote sensing images covering the same area in different periods, combined with changes in the spectral characteristics of cultivated land, a...

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Problems solved by technology

Therefore, the existing time-series change detection methods are difficult to detect changes in cultivated land

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