Single cropping rice SAR (Synthetic Aperture Radar) identification method for small and medium-sized fields in complex terrain environment

Abstract

The invention relates to a single cropping rice SAR (Synthetic Aperture Radar) identification method for small and medium-sized fields in a complex terrain environment, which comprises the following steps of: preprocessing SAR remote sensing image data of the whole year, and converting SAR remote sensing image pixel values into actual ground feature backscattering intensity to obtain ground feature backscattering intensity data of a time sequence of the whole year; average value synthesis is carried out on the ground feature back scattering intensity data of the whole-year time sequence in each set period length, and time sequence Savitzky-Golay filtering is carried out on the synthesized time sequence data. The method has the advantages that average value synthesis is carried out on the single cropping rice SAR back scattering intensity time sequence, the rice back scattering time sequence is reconstructed by introducing Savitzky-Golay filtering, the influence of SAR speckle noise and abnormal values is effectively restrained, the real intensity of rice back scattering is well reserved, and the method has the advantages of being high in accuracy and high in accuracy. The method can be used for seasonal characterization of phenological development characteristics of rice all the year round, and is beneficial to accurate extraction of phenological characteristics of rice.

Description

technical field [0001] The invention belongs to the field of remote sensing image processing, and in particular relates to a SAR recognition method for single-cropping rice aimed at small and medium-sized fields in a complex terrain environment. Background technique [0002] Timely and accurate acquisition of rice planting area and spatial distribution is a fundamental and important task for the government to accelerate the construction of a modern rice industry system, effectively improve the comprehensive production of rice, and promote the continuous increase of farmers' income and the sustainable development of the rice industry. In recent decades, a large area of ​​cultivated land has either been converted to construction land with urbanization, or returned to forests and grasslands due to ecological restoration, resulting in a rapid decline in the area of ​​rice planting. Especially in areas with complex terrain, the rice management method is mainly based on traditiona...

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Problems solved by technology

However, these characteristics are often based on the entire growth cycle of rice, which may weaken the unique characteristics of rice growth, resulting in the inability to effectively distinguish other crops with similar dynamic range or variance to rice radar backscatter

On the other hand, the existing research on rice monitoring combined with phenological characteristics is mainly used in plain areas with flat topography, but the phenological information of rice in areas with complex topography is variable, and the relationship between remote sensing terrain shadows and shallow water, and rice surface areas with high water content in the early stage The range of radar backscatter coefficients is similar, which can easily lead to the phenomenon of mixing of different ground objects, and it is impossible to realize high-precision monitoring of rice in complex terrain areas

At the same time, the inherent speckle noise of SAR images will also affect the high-precision SAR classification of crops.

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