Leaf area vertical distribution information extraction method

Abstract

The invention discloses a leaf area vertical distribution information extraction method for a corn plant. The method comprises the steps of utilizing a laser radar as a data source, identifying a corn leaf echo point cloud by means of a normal-based differential method; voxelizing a corn plant echo point cloud, and extracting leaf area vertical distribution information by means of a canopy analysis method. The leaf area vertical distribution information extraction method has advantages of quickly and accurately extracting leaf area vertical distribution information of the corn plant, simplifying a corn plant structure parameter extracting process, improving automatic degree and furthermore realizing no damage of the corn leaf.

Description

technical field [0001] The invention relates to the technical field of agricultural remote sensing, and more specifically relates to a method for extracting vertical distribution information of corn leaf area. Background technique [0002] The vertical distribution of crop leaf area is one of the important parameters in the field of agricultural remote sensing theorem inversion research, crop mechanism model research, and crop genetics and breeding. Leaf is an important carrier of photosynthesis and other physiological processes of plants. Accurate and quantitative description of the vertical distribution of leaves is of great significance for crop growth monitoring, potential disaster stress monitoring, yield estimation, and genetic effect analysis. [0003] At present, the commonly used methods for extracting the vertical distribution information of crop leaf area in agricultural applications can be roughly divided into two categories: direct measurement methods and indire...

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Problems solved by technology

Among them, although the direct measurement method has high measurement accuracy, it needs to manually harvest and measure the area of ​​all leaves, so it can only be measured at limited points, which is time-consuming, laborious and destructive to the plant itself. The measurement of large-scale structural properties in large areas is unrealistic, so it is often used as a correction and verification of indirect measurement methods

Indirect measurement methods include indirect contact measurement using optical instruments and non-contact measurement using remote sensing technology. Among them, the method of instrument contact measurement is still on-point measurement. Although non-contact measurement based on remote sensing technology is a surface measurement method, it is very difficult. It is difficult to penetrate the crop canopy, so the current inversion model regards the crop canopy as a homogeneous layer, ignores the difference in the vertical direction of the canopy, and cannot express the distribution of leaves inside and below the canopy

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