Method for extracting stand structure parameters of artificial forest on basis of aerial photogrammetric measurement point clouds

Abstract

The invention discloses a method for extracting stand structure parameters of artificial forest on the basis of aerial photogrammetric measurement point clouds. The method includes: filtering airbornelidar discrete point cloud data, interpolating to generate a digital terrain model and performing point cloud data normalization processing; extracting and matching true color image pair feature points, performing aerial triangulation to generate the aerial photogrammetric measurement point clouds, and subjecting the aerial photogrammetric measurement point clouds to normalization processing; extracting feature variables on the basis of the normalized aerial photogrammetrical measurement point clouds; respectively constructing a multivariate regression model to predict the structural featuresof each stand in combination with ground measured data and the extracted feature variables. The three-dimensional structural features of forest canopy can be acquired through high overlapping image data efficiently acquired by an unmanned aerial vehicle and by the aid of the three-dimensional point clouds extracted from image pairs with the stereophotogrammetry method, inversion precision of thestand structure parameters is helpfully improved, and problems about high forest coverage and structure parameter inversion 'saturation' of high stand of biomass are effectively solved.

Description

technical field [0001] The invention belongs to the technical field of forest resources detection, and in particular relates to a method for extracting plantation forest stand structure parameters based on aerial photogrammetry point clouds. Background technique [0002] Accurate extraction of plantation stand structure parameters is of great significance for forest resource monitoring, ecological factor investigation and biodiversity research. At the same time, this information can also be used to grasp the forest spatial structure and dynamic changes, and provide data support for forest management, ecological environment modeling and carbon cycle analysis. Conventional plantation forest stand structure parameter extraction mainly relies on field surveys and aerial or satellite image interpretation, etc., its accuracy is often not high, and it is difficult to be practically popularized on the "surface". [0003] In recent years, research on the extraction of forest stand s...

AI Technical Summary

Problems solved by technology

However, the above methods are all based on the feature extraction of two-dimensional images after splicing, and do not extract the three-dimensional structural features of the canopy to extract the plantation forest stand structure parameters

At the same time, there is no comprehensive and in-depth calculation of artificial forest canopy aerial photogrammetry point cloud features and methods for extracting stand structure parameters

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