Polarization SAR-based self-adaptive crop whole growth period parameter inversion method

Abstract

The invention discloses a polarization SAR-based self-adaptive crop whole growth period parameter inversion method. The method comprises the following steps: S1, extracting various vegetation indexesand SAR characteristic parameters in a target area; s2, designing a group of experiments, wherein the experiments comprise various different rice phenological period division conditions; s3, establishing a feature selection algorithm based on Monte Carlo random sampling and correlation suppression to obtain an optimal feature matrix, wherein the optimal feature matrix comprises an optimal featuresubset for identifying each pair of phenological periods. According to the method, six different phenological period division conditions are compared and analyzed, and an optimal phenological period identification scheme is that the whole growth period of rice is identified as eight phenological periods; according to the method, an optimal feature matrix for identifying eight phenological periodsis constructed for the first time, and the optimal feature matrix comprises an optimal feature subset for identifying any two phenological periods. It is worth noting that for a rice field where ricemeal is transplanted and a japonica rice field where sowing is conducted, the optimal feature subset of the phenological period is recognized to be different.

Description

technical field [0001] The invention belongs to the technical field of parameter inversion processing of the whole growth period of crops, and specifically relates to an adaptive method for inversion of parameters of the whole growth period of crops based on polarimetric SAR. Background technique [0002] Rice farming monitoring includes many aspects. Among them, rice planting area statistics, phenological period identification and yield forecast are the three main application requirements. Accurately grasping the latest information on the planting area of ​​rice (including rice meal and japonica rice) is of great significance for timely understanding of the distribution of rice planting, for governments at all levels to formulate grain production policies, and to macro-control rice planting regionalization. The identification of rice phenology is conducive to the timely implementation of field management activities such as fertilization, irrigation, weeding and pest contro...

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Problems solved by technology

[0004] The purpose of the present invention is to provide a polarimetric SAR-based self-adaptive crop growth period parameter feedback method in order to solve the technical problem of wasting time and financial resources in the traditional rice farming situation monitoring method and unable to ensure the real-time and accurate monitoring results. play method

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