Method and system for ground point fitting and crop height extraction based on point cloud data

A point cloud data and ground point technology, applied in image data processing, image analysis, image enhancement, etc., can solve the problems that soil cannot be collected by UAV images, crop height extraction error, point cloud cannot meet the requirements, etc., to achieve Low cost, high applicability, and the effect of overcoming errors

Pending Publication Date: 2022-05-27
UNIV OF ELECTRONIC SCI & TECH OF CHINA +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

With the diversification of filtering methods and application scenarios, the selection of thresholds is becoming more and more complicated
Although the above method is suitable for most application scenarios, for the point cloud of crops generated based on SfM, the narrow spacing between crops leads to different degrees of occlusion between different leaves, which makes some crops The soil below cannot be captured by drone imagery
Therefore, in the case of incomplete ground points, the point cloud cannot meet the sample requi

Method used

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  • Method and system for ground point fitting and crop height extraction based on point cloud data
  • Method and system for ground point fitting and crop height extraction based on point cloud data
  • Method and system for ground point fitting and crop height extraction based on point cloud data

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Example Embodiment

[0055] Example 1

[0056] The method for fitting ground points based on point cloud data provided in this embodiment includes the following steps:

[0057] First, obtain 3D point cloud data with plant areas;

[0058] Then, the plant canopy data information is determined according to the point cloud data; the plant canopy data information is determined according to the following steps:

[0059] The point cloud data is partitioned according to the plant spacing, a bounding box is established, and a slice is constructed according to the bounding box; the construction of the bounding box and the slice is carried out according to the following steps:

[0060] A bounding box is established according to the point cloud distribution of the sub-region, and the point cloud is divided into multiple points with a thickness of H from bottom to top in the z-axis direction. 1 , and then divide the point cloud into multiple slices with a thickness of H from top to bottom. 2 of slices, twic...

Example Embodiment

[0074] Example 2

[0075] The method for extracting the height of crops based on the fitting of UAV point cloud and ground points provided in this embodiment realizes the real restoration of terrain fluctuations by extracting real ground points and fitting missing ground points, eliminating terrain fluctuations and extracting height of winter wheat. interference. In addition, the canopy slice filter is applied to optimize the extraction process of ground points to obtain effective information in the original point cloud, including the following steps:

[0076] Step 1. Obtain the drone image of the crop planting area and generate the 3D point cloud through the SfM algorithm;

[0077] Step 2. Preprocess the original point cloud, including data cropping and format conversion;

[0078] Step 3. Divide the point cloud according to the actual crop planting spacing, and construct bounding boxes and internal slices;

[0079] Step 4. Cluster the point clouds in the bounding box, and ...

Example Embodiment

[0100] Example 3

[0101] like figure 1 and figure 2 shown, figure 1 It is a schematic flow chart of the overall method of the present invention, figure 2 It is a schematic diagram of the winter wheat farmland research area in the specific embodiment of the present invention. The selected research area is the winter wheat planting area near Melbourne in southeastern Ontario, Canada. figure 2 The actual measurement of the height of winter wheat was carried out on different observation dates.

[0102] The method for extracting the height of crops based on the fitting of UAV point clouds and ground points provided in this embodiment includes the following steps:

[0103] Step 1: Set 32 ​​sampling points evenly in the study area to measure the height change of winter wheat during the growth cycle. During this process, digital images of UAVs in the experimental area are captured synchronously, and the SfM algorithm is used to generate point cloud data containing three-dimen...

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Abstract

The invention discloses a ground point fitting and crop height extraction method and system based on point cloud data. The method comprises the following steps: firstly, acquiring three-dimensional point cloud data of a plant region; then determining plant canopy data information; determining ground point cloud data in combination with the ground fluctuation information; and finally, according to the canopy top point and the fitted ground point, calculating the height of the plant in the sampling area. According to the method provided by the invention, the ground points actually existing in the point cloud are extracted, the effective degree of each part of the point cloud is analyzed, the ground points are extracted based on the elevation and the gradient, and the elevation of the missing ground points is fitted based on the real ground points, so that errors generated by topographic relief are eliminated, and the applicability is higher; the crop height extraction can be carried out by filtering out the effective point clouds from the original point clouds, and at the same time, the interference of the invalid point clouds is eliminated, the complexity of subsequent processing is reduced, and the error of crop height extraction caused by topographic relief is overcome.

Description

technical field [0001] The invention relates to the technical field of point cloud data processing, in particular to a method and system for ground point fitting and crop height extraction based on point cloud data. Background technique [0002] Crop height plays an important role in accurately monitoring crop growth, predicting crop yield and optimizing agricultural production management. The crop height in the present invention refers to the distance from the top to the ground. The traditional crop height estimation methods are mainly based on layer-by-layer statistics and large-scale field manual measurement, but there are major problems such as waste of measurement time and human resources, and lack of spatial distribution information. In the past, with the rapid development of remote sensing technology, there were many large-area vegetation studies based on satellite remote sensing images. For example, by calculating different vegetation indices and extracting crop inf...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06T7/11G06V20/17G06V10/762
CPCG06T7/11G06T2207/10028G06F18/2321Y02A40/10
Inventor 行敏锋周晓哲
Owner UNIV OF ELECTRONIC SCI & TECH OF CHINA
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