CN115574786A - Method and system for extracting crop vegetation coverage and density based on mobile phone camera - Google Patents
Method and system for extracting crop vegetation coverage and density based on mobile phone camera Download PDFInfo
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- CN115574786A CN115574786A CN202211224398.8A CN202211224398A CN115574786A CN 115574786 A CN115574786 A CN 115574786A CN 202211224398 A CN202211224398 A CN 202211224398A CN 115574786 A CN115574786 A CN 115574786A
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- 238000005259 measurement Methods 0.000 abstract description 8
- 241000196324 Embryophyta Species 0.000 description 12
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- 241000208818 Helianthus Species 0.000 description 4
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- G01C11/00—Photogrammetry or videogrammetry, e.g. stereogrammetry; Photographic surveying
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Abstract
The invention relates to a method and a system for extracting crop vegetation coverage and density based on a mobile phone camera, belonging to the technical field of crop measurement. Meanwhile, the coverage and the density are calculated according to the established three-dimensional live-action model, so that the calculation accuracy can be further improved.
Description
Technical Field
The invention relates to the technical field of crop measurement, in particular to a method and a system for extracting crop vegetation coverage and density based on a mobile phone camera.
Background
At present, methods for estimating vegetation coverage and density are divided into remote sensing estimation and ground surface actual measurement. The remote sensing estimation method is mainly applied to large-scale vegetation coverage monitoring, and can be compared and analyzed with the small-scale ground surface actual measurement coverage after scale conversion. The earth surface actual measurement method mainly comprises a visual estimation method, a point measurement method, a grid method, an instrument measurement method, a digital photography method and the like. The visual estimation method is simple and feasible, is a method mainly used in the grass field vegetation coverage research at present, is greatly influenced by human subjective factors, and has been proved by research that the maximum absolute error of personal visual estimation can reach 40%. The point measurement method and the grid method have high measurement precision, and the measurement result is often used as an accurate value, but the time and labor are wasted, and the efficiency is too low. The instrumental measurement method mainly comprises a space quantitative measurement method and a mobile light quantitative measurement method, the coverage and the density of the vegetation are calculated by utilizing the condition that light is measured by a sensor to pass through the vegetation, the economic cost is high, and the instrument is inconvenient to carry outdoors and operate. The digital photography method is to interpret the vegetation type from the photo and obtain the vegetation coverage and density, and has the advantages of economy, high efficiency, high accuracy and the like, but the current digital photography method needs a camera to photograph perpendicular to the vegetation, uses an orthophoto image method to calculate, and has higher requirements on the photographing mode.
Based on this, there is a need for a new digital photography method that does not require a photograph taken perpendicular to the vegetation.
Disclosure of Invention
The invention aims to provide a method and a system for extracting the coverage and density of crop vegetation based on a mobile phone camera.
In order to achieve the purpose, the invention provides the following scheme:
a method of extracting crop vegetation coverage and density based on a cell phone camera, the method comprising:
acquiring a plurality of crop images obtained by using a mobile phone camera to perform surrounding shooting on a target area;
constructing a three-dimensional live-action model of the target area according to the multiple crop images;
and calculating the crop vegetation coverage and density of the target area according to the three-dimensional real scene model.
A system for extracting crop vegetation coverage and density based on a cell phone camera, the system comprising:
the image acquisition module is used for acquiring a plurality of crop images obtained by utilizing a mobile phone camera to carry out surrounding shooting on a target area;
the model construction module is used for constructing a three-dimensional live-action model of the target area according to the multiple crop images;
and the calculation module is used for calculating the crop vegetation coverage and density of the target area according to the three-dimensional real scene model.
According to the specific embodiment provided by the invention, the invention discloses the following technical effects:
the invention provides a method and a system for extracting crop vegetation coverage and density based on a mobile phone camera. Meanwhile, the coverage and the density are calculated according to the established three-dimensional live-action model, so that the calculation accuracy can be further improved.
Drawings
The drawings that are required to be used in the embodiments of the present invention will be briefly described below.
FIG. 1 is a flow chart of a method for extracting crop vegetation coverage and density as provided in example 1 of the present invention;
fig. 2 is a top view of a three-dimensional real-world model provided in embodiment 1 of the present invention;
fig. 3 is a side view of a three-dimensional real-world model provided in embodiment 1 of the present invention;
FIG. 4 is a schematic diagram of the measurement of the total area provided in embodiment 1 of the present invention;
fig. 5 is a schematic view illustrating measurement of a projection area provided in embodiment 1 of the present invention;
fig. 6 is a system block diagram of a system for extracting crop vegetation coverage and density according to embodiment 2 of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and specific embodiments.
Example 1:
the embodiment is used for providing a method for extracting crop vegetation coverage and density based on a mobile phone camera, as shown in fig. 1, the method includes:
s1: acquiring a plurality of crop images obtained by using a mobile phone camera to perform surrounding shooting on a target area;
specifically, S1 may include: the method comprises the steps of determining a plurality of shooting points along the boundary of a target area, arranging the shooting points around the target area, shooting the target area by using a mobile phone camera at each shooting point to obtain a crop image, shooting all angles of the target area by using the mobile phone camera, namely shooting a plurality of crop images along the target area in a circling mode to respectively collect front and side textures of crops, ensuring the integrity of crop texture image data, and facilitating the subsequent establishment of a three-dimensional live-action model.
In order to further ensure the integrity of the crop texture image data, the overlapping rate of the crop images corresponding to the adjacent shooting points is greater than a preset threshold, and the preset threshold can be 80%. At the moment, the Sudoku function auxiliary shooting process in the mobile phone camera can be opened in manual shooting so as to control the overlapping rate of two adjacent crop images to be more than 80%.
The fixed focus function is used during shooting, and the focal distance of each crop image is the same.
When shooting, still can use vertical cell phone stand to assist and shoot to guarantee the stability of crops image.
When shooting, whether the crop images shot by the mobile phone camera are qualified or not can be checked in time, the conditions of fuzzy and the like exist, unqualified crop images are removed, and the shooting is performed in time.
S2: constructing a three-dimensional live-action model of the target area according to the plurality of crop images;
if the distortion of the image shot by the mobile phone camera is large, geometric distortion correction needs to be carried out on the crop image obtained in the step S1 so as to carry out preprocessing on the mobile phone image data. That is, before S2, the method of this embodiment further includes: and performing geometric distortion correction on the crop image to obtain a corrected image, and performing S2 by taking the corrected image as a new crop image.
S2 may include: and taking the multiple crop images as input, and constructing a three-dimensional real scene model of the target area by using computer modeling software.
The computer modeling software used in this embodiment may be a ContextCapture. Specifically, the process of constructing the three-dimensional live-action model of the target area by using the computer modeling software of ContextCapture may include: and (1) opening a ContextCapture Master and building a new project. (2) adding an image: selecting an image (photo) tab to add an image, clicking an image adding (Addphos) button, adding an image to be modeled (namely, a plurality of crop images obtained in S1), selecting single-sheet addition and folder addition (namely, adding all images in a folder) in an image adding mode, and automatically acquiring a focal distance or manually inputting a camera focal distance of a mobile phone. (3) checking the image file: clicking the check image files button selects the check image file header only (fast). Start of click (Start), at which point "how many image files were successfully opened" appears in the Report (Report) box. If the error is reported, please check whether the imported crop image file is damaged. And (4) submitting a null three operation: selecting a summary (General) tab, then clicking a Submit aerial triangulation (Submit) button on the right side, directly clicking the next step to enter the setting, selecting default items, directly clicking submission to pass aerial triangulation, and prompting a window to wait for aerial triangulation calculation. (5) open the Engine ContextCapture Center Engine: the engine for the orange icon is turned on, at which time the null-three operation begins. (6) newly building a reconstruction project: and after the empty and triple operation is finished and an empty and triple processing result is obtained, clicking the right lower side to newly build a reconstruction project (NewReconstruction). (7) space frame setting: a space frame (spatial frame) tab is selected and chunked by default settings. (8) new production project setting: after the blocks are configured, the user returns to a summary (General) option card, clicks a Submit New Production project (Submit New Production) button, jumps out of a Production project definition window, fills in names, purposes (three-dimensional grid can be selected), formats/options (format drop-down can be selected from multiple types, specific OBJ or OSGB formats and other defaults), ranges (tiles to be modeled are selected, full selection is defaulted), targets (namely, project storage addresses are equivalent to selection of output folders), and submits the three-dimensional real scene model to be obtained.
S3: and calculating the crop vegetation coverage and density of the target area according to the three-dimensional real scene model.
S3 may include: opening a three-dimensional live-action model by using computer modeling software, measuring the projection area of the crop projected on the ground of the target area and the total area of the ground of the target area, and reading the number of plants of the crop; and respectively calculating the vegetation coverage and density of the crops in the target area according to the projection area, the total area and the number of plants.
Wherein, calculating the crop vegetation coverage and density of the target area according to the projected area, the total area and the number of plants respectively may include: calculating the ratio of the projection area to the total area to obtain the vegetation coverage of the crops in the target area; and calculating the ratio of the number of plants to the total area to obtain the crop vegetation density of the target area.
When the computer modeling software used in this embodiment is ContextCapture, S3 may include: and opening the three-dimensional live-action model by using the ContextCapture Viewer, measuring the projection area (namely the total crown diameter area) of the crop projected on the ground of the target area and the total area of the ground of the target area by using a measuring tool above the menu, and visually reading the plant tree of the crop in the target area. The coverage is the ratio of the area of the projection of a certain plant on the ground, specifically, the ratio of the area of the projection of the overground part of the plant on the ground, so the coverage can be obtained by the projection area/the total area. The density is the number of a certain plant per unit area, so the plant tree/total area can obtain the density.
Taking the extraction of coverage and density of a crop, sunflower, as an example, as shown in fig. 2 and 3, which is a three-dimensional real-scene model of a target area where sunflower is planted, as shown in fig. 4, the total area of the ground of the target area is measured to obtain a total area of 161.0531m 2 As shown in fig. 5, the projection area of the sunflower projected to the ground of the target area is measured to obtain 97.1392m 2 Then, coverage = projected area/total area =97.1392/161.0531=60.32%. When the three-dimensional realistic model shown in fig. 2 and 3 was visually observed, the density = plant tree/total area =151/161.0531=0.94 (plant/square meter) when the number of plants of sunflower was 151.
In the embodiment, the three-dimensional live-action model of the target area is established by utilizing the crop image shot by the mobile phone camera so as to further calculate the vegetation coverage and density of the crop, all shooting is not required to be vertical to vegetation for shooting, and the related parameters are calculated by constructing the three-dimensional live-action model, so that the accuracy is higher. The method for photographing by the mobile phone is adopted, a large number of ground sampling points are obtained in a short time, the precision is high, the method is convenient and quick, meanwhile, the accurate positioning can be realized by means of a GPS chip embedded in the mobile phone, namely, by means of the mobile phone, more ground sampling point data can be obtained in a short time, besides vegetation coverage and density, the geographic position of a photographing place can be recorded, vegetation height and resolution types can be measured in a three-dimensional real scene model, the growth condition can be checked, manual estimation and the like can be carried out, and professionals can be conveniently assisted in carrying out resource investigation. The estimation efficiency of the vegetation coverage of the crops in a large area can be effectively improved by means of the three-dimensional real-scene model, so that the method for estimating the vegetation coverage by using the mobile phone photos as the data source has important application value. The method has good feasibility, effectiveness and economy.
Example 2:
the embodiment is configured to provide a system for extracting crop vegetation coverage and density based on a mobile phone camera, as shown in fig. 6, the system includes:
the image acquisition module M1 is used for acquiring a plurality of crop images obtained by performing surrounding shooting on a target area by using a mobile phone camera;
the model building module M2 is used for building a three-dimensional live-action model of the target area according to the multiple crop images;
and the calculating module M3 is used for calculating the crop vegetation coverage and density of the target area according to the three-dimensional real scene model.
The principles and embodiments of the present invention have been described herein using specific examples, which are provided only to help understand the method and the core concept of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, the specific embodiments and the application range may be changed. In view of the above, the present disclosure should not be construed as limiting the invention.
Claims (8)
1. A method for extracting vegetation coverage and density of crops based on a mobile phone camera is characterized by comprising the following steps:
acquiring a plurality of crop images obtained by using a mobile phone camera to perform surrounding shooting on a target area;
constructing a three-dimensional live-action model of the target area according to the multiple crop images;
and calculating the crop vegetation coverage and density of the target area according to the three-dimensional real scene model.
2. The method according to claim 1, wherein the acquiring the plurality of crop images obtained by performing the surround shooting of the target area by using the mobile phone camera specifically comprises:
determining a plurality of shooting points along the boundary of the target area;
shooting the target area at each shooting point by using a mobile phone camera to obtain a crop image; and the overlapping rate of the crop images corresponding to the adjacent shooting points is greater than a preset threshold value.
3. The method of claim 1, wherein prior to constructing the three-dimensional real-world model of the target area from the plurality of crop images, the method further comprises: and carrying out geometric distortion correction on the crop image to obtain a corrected image, and taking the corrected image as a new crop image.
4. The method of claim 1, wherein constructing the three-dimensional real-world model of the target area from the plurality of crop images comprises: and taking the multiple crop images as input, and constructing a three-dimensional live-action model of the target area by using computer modeling software.
5. The method of claim 4, wherein calculating the crop vegetation coverage and density of the target area from the three-dimensional real-world model specifically comprises:
opening the three-dimensional real scene model by using the computer modeling software, measuring the projection area of the crop projected on the ground of the target area and the total area of the ground of the target area, and reading the number of plants of the crop;
and respectively calculating the crop vegetation coverage and density of the target area according to the projection area, the total area and the number of plants.
6. The method of claim 4 or 5, wherein the computer modeling software is: contextCapture.
7. The method of claim 5, wherein calculating the crop vegetation coverage and density of the target area from the projected area, the total area, and the number of plants, respectively, comprises:
calculating the ratio of the projection area to the total area to obtain the vegetation coverage of the crops in the target area;
and calculating the ratio of the number of the plants to the total area to obtain the crop vegetation density of the target area.
8. A system for extracting crop vegetation coverage and density based on a mobile phone camera, the system comprising:
the image acquisition module is used for acquiring a plurality of crop images obtained by utilizing a mobile phone camera to carry out surrounding shooting on a target area;
the model building module is used for building a three-dimensional real scene model of the target area according to the multiple crop images;
and the calculation module is used for calculating the crop vegetation coverage and density of the target area according to the three-dimensional real scene model.
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| CN202211224398.8A CN115574786A (en) | 2022-10-09 | 2022-10-09 | Method and system for extracting crop vegetation coverage and density based on mobile phone camera |
| ZA2022/12114A ZA202212114B (en) | 2022-10-09 | 2022-11-07 | Method and system for extracting fractional vegetation cover and density of crops based on mobile phone camera |
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| CN202211224398.8A CN115574786A (en) | 2022-10-09 | 2022-10-09 | Method and system for extracting crop vegetation coverage and density based on mobile phone camera |
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109886094A (en) * | 2019-01-08 | 2019-06-14 | 中国农业大学 | A kind of crop growth of cereal crop seedlings seedling gesture capturing analysis method and device |
| CN111833435A (en) * | 2020-06-28 | 2020-10-27 | 江苏大学 | Unmanned aerial vehicle near-field remote sensing mature crop density high-flux measurement method |
| CN112528833A (en) * | 2020-12-08 | 2021-03-19 | 中国科学院大学 | Plant sample prescription investigation method, device and system |
| CN114303592A (en) * | 2020-10-09 | 2022-04-12 | 迪尔公司 | Machine control using prediction maps |
| CN114303593A (en) * | 2020-10-09 | 2022-04-12 | 迪尔公司 | Generation and control of a predicted biomass map |
-
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- 2022-10-09 CN CN202211224398.8A patent/CN115574786A/en active Pending
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Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109886094A (en) * | 2019-01-08 | 2019-06-14 | 中国农业大学 | A kind of crop growth of cereal crop seedlings seedling gesture capturing analysis method and device |
| CN111833435A (en) * | 2020-06-28 | 2020-10-27 | 江苏大学 | Unmanned aerial vehicle near-field remote sensing mature crop density high-flux measurement method |
| CN114303592A (en) * | 2020-10-09 | 2022-04-12 | 迪尔公司 | Machine control using prediction maps |
| CN114303593A (en) * | 2020-10-09 | 2022-04-12 | 迪尔公司 | Generation and control of a predicted biomass map |
| CN112528833A (en) * | 2020-12-08 | 2021-03-19 | 中国科学院大学 | Plant sample prescription investigation method, device and system |
Non-Patent Citations (2)
| Title |
|---|
| 中铁四局集团第二工程有限公司: "《BIM三维建模教程》", 30 April 2018, 世界图书出版广东有限公司, pages: 34 - 42 * |
| 侯素珍，王平，刘晓燕，林秀芝，李立著: "《孔兑洪水泥沙调控关键技术研究》", 30 June 2017, 黄河水利出版社, pages: 247 * |
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