Inversion method of wheat nitrogen concentration based on UAV image spectrum and texture features

Abstract

The invention discloses a wheat nitrogen concentration inversion method based on unmanned aerial vehicle image spectrum and texture features. The method includes: construction of an unmanned aerial vehicle observation system and image acquisition, automatic removal of soil information in the image, and diagnosing the texture of plant nitrogen concentration Index construction and construction of plant nitrogen concentration diagnostic model coupling texture index and spectral index. The invention proposes that the plant nitrogen concentration can be diagnosed based on the high spatial resolution image texture features of the UAV, and combined with the spectral index for diagnosing the plant nitrogen concentration, a texture index for diagnosing the plant nitrogen concentration is proposed; the invention proposes a coupled image A technical method for inversion of nitrogen concentration in wheat plants based on spectral and texture features. The present invention makes full use of the feature of low-altitude UAV images with high spatial resolution, introduces image texture features, reduces inversion errors caused by phenomena such as "same substance with different spectrum, different substance with same spectrum" and "saturation", and improves plant nitrogen Concentration inversion accuracy.

Description

technical field [0001] The invention relates to a wheat nitrogen concentration inversion method, in particular to a wheat nitrogen concentration inversion method based on UAV image spectrum and texture features, and belongs to the technical field of remote sensing inversion. Background technique [0002] Remote sensing technology is commonly used to achieve rapid and non-destructive detection of nitrogen concentration in wheat plants. For a long time, the acquisition methods of remote sensing information mainly rely on three platforms: ground equipment, manned aircraft, and satellites. Based on the data they obtained, scholars have carried out a lot of research, which can be divided into three categories: empirical method, semi-empirical method and mechanism model method. [0003] The empirical method refers to the direct establishment of the relationship model between spectral information and target parameters based on the original spectrum of vegetation or its derivative ...

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Problems solved by technology

However, at present, scholars mainly use spectral information when retrieving nitrogen concentration of wheat plants based on UAV images, and there are few reports on the application of texture information to the inversion of nitrogen concentration of wheat plants

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