CN111598937A - Farmland land area measurement method and system based on calibration block target correction - Google Patents
Farmland land area measurement method and system based on calibration block target correction Download PDFInfo
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Abstract
The invention relates to a farmland land area measuring method and system based on calibration block target correction, which comprises the following steps: acquiring longitude and latitude coordinates of the center of each calibration plate measured by an RTK measuring system; acquiring a plurality of images shot by a shooting terminal; determining an image of a farmland to be detected according to the longitude and latitude coordinates of the center of each calibration plate and the plurality of images; determining the area of each pixel point to the ground according to the shooting terminal, and recording the area as the area of the pixel point; segmenting the image of the farmland to be detected by using an image segmentation method, and determining the image of the target farmland to be detected; processing the image of the target farmland to be detected by using digital image morphology, and determining the number of pixel points in the image of the target farmland to be detected; and determining the area of the target farmland to be detected according to the number of the pixel points and the area of the pixel points in the image of the target farmland to be detected. The method can accurately measure the farmland area and reduce the measurement cost.
Description
Technical Field
The invention relates to the technical field of farmland area measurement, in particular to a farmland mu measuring method and system based on calibration block target calibration.
Background
The monitoring of the planting area of crops is highly valued from time to time, and information such as the planting area of grain crops can be known and accurately mastered through the monitoring of the planting area. Meanwhile, the timely acquisition of the planting information of the grain crops can provide scientific basis for formulating agricultural production policy, and the method has very important significance for ensuring grain safety. In agricultural production, the timely and accurate prediction of crop area and yield also has important significance for farmers to better implement crop management every year and next year, especially in aspects of crop insurance, harvest plans, storage requirements, cash flow budget, nutrition, pesticides, water investment and the like. The traditional crop area measuring method mainly depends on measuring by using a tape measure and the like, measures the lengths of all boundaries of a crop planting field in the field, and calculates by using a geometric area calculating method, so that the labor intensity is high, the cost is high, the subjectivity is strong, and the measuring accuracy is low.
With the rapid development of science and technology, further requirements are made on the cost of area measurement and the precision of an area measurement result, and therefore how to improve a crop planting area measurement means is a problem which needs to be solved urgently at present.
Disclosure of Invention
The invention aims to provide a farmland area measuring method and system based on calibration block target correction, which can accurately measure the farmland area and reduce the measurement cost.
In order to achieve the purpose, the invention provides the following scheme:
a farmland mu measuring method based on calibration block target correction comprises the following steps:
acquiring longitude and latitude coordinates of the center of each calibration plate measured by an RTK measuring system; the number of the calibration plates is at least four, and each calibration plate is positioned at the end point of the farmland area to be tested;
acquiring a plurality of images shot by a shooting terminal; the shooting terminal is an unmanned aerial vehicle provided with a visible light camera;
determining an image of a farmland to be tested according to the longitude and latitude coordinates of the center of each calibration plate and the plurality of images;
determining the area of each pixel point to the ground according to the shooting terminal, and recording the area as the area of the pixel point;
segmenting the farmland image to be detected by using an image segmentation method to determine a target farmland image to be detected;
processing the farmland image of the target to be detected by using digital image morphology, and determining the number of pixel points in the farmland image of the target to be detected;
and determining the area of the target farmland to be detected according to the number of the pixel points in the image of the target farmland to be detected and the area of the pixel points.
Optionally, the acquiring longitude and latitude coordinates of the center of each calibration plate measured by the RTK measurement system specifically includes:
fixedly arranging an RTK reference station beside a farmland to be measured, respectively moving an RTK mobile station to the center of each calibration plate, and determining the longitude and latitude coordinates of the center of each calibration plate; wherein the RTK measurement system includes the RTK base station and the RTK rover station.
Optionally, the determining the image of the farmland to be measured according to the longitude and latitude coordinates of the center of each calibration plate and the plurality of images specifically includes:
splicing the multiple images by adopting three-dimensional model generation software to obtain a spliced farmland complete image; the spliced farmland complete image comprises at least four calibration plates;
and carrying out distortion correction on the spliced farmland complete image according to the longitude and latitude coordinates of the center of each calibration plate to obtain a farmland image to be detected.
Optionally, the determining, according to the shooting terminal, the area of each pixel point to the ground and recording as the area of the pixel point specifically includes:
according to the formula
Determining the area of each pixel point to the ground;
wherein S is0The area of a pixel point is represented by a, b is the size of the visible light camera sensor, c, d is the maximum resolution of the visible light camera, h is the flying height of the unmanned aerial vehicle, and f is the focal length of the visible light camera.
Optionally, the determining the area of the target farmland to be detected according to the number of the pixels in the target farmland image to be detected and the area of the pixels specifically includes:
according to the formula SField (Tu)＝S0L, determining the area of a target farmland to be detected;
wherein S is0Is the area of the pixel point, L is the number of the pixel points in the target farmland image to be measured, SField (Tu)The area of the target farmland to be measured.
A farmland mu-measuring system based on calibration block-to-target correction, the farmland mu-measuring system comprising:
the longitude and latitude coordinate acquisition module is used for acquiring longitude and latitude coordinates of the center of each calibration plate measured by the RTK measuring system; the number of the calibration plates is at least four, and each calibration plate is positioned at the end point of the farmland area to be tested;
the system comprises a plurality of image acquisition modules, a shooting terminal and a display module, wherein the plurality of image acquisition modules are used for acquiring a plurality of images shot by the shooting terminal; the shooting terminal is an unmanned aerial vehicle provided with a visible light camera;
the farmland image to be detected determining module is used for determining the farmland image to be detected according to the longitude and latitude coordinates of the center of each calibration plate and the images;
the pixel point area determining module is used for determining the area of each pixel point to the ground according to the shooting terminal and recording the area as the pixel point area;
the image segmentation module is used for segmenting the image of the farmland to be detected by utilizing an image segmentation method to determine the image of the farmland to be detected;
the device comprises a module for determining the number of pixel points in a farmland image of a target to be detected, and a module for determining the number of pixel points in the farmland image of the target to be detected, wherein the module is used for processing the farmland image of the target to be detected by utilizing digital image morphology;
and the target farmland area determination module is used for determining the area of the target farmland to be detected according to the number of the pixel points in the target farmland image to be detected and the area of the pixel points.
Optionally, the longitude and latitude coordinate obtaining module specifically includes:
the longitude and latitude coordinate determination unit is used for fixedly arranging an RTK reference station beside a farmland to be measured, respectively moving the RTK mobile station to the center of each calibration plate and determining the longitude and latitude coordinate of the center of each calibration plate; wherein the RTK measurement system includes the RTK base station and the RTK rover station.
Optionally, the module for determining an image of a farmland to be measured specifically includes:
the spliced farmland complete image obtaining unit is used for splicing the multiple images by adopting three-dimensional model generation software to obtain a spliced farmland complete image; the spliced farmland complete image comprises at least four calibration plates;
and the to-be-detected farmland image determining unit is used for carrying out distortion correction on the spliced farmland complete image according to the longitude and latitude coordinates of the center of each calibration plate to obtain the to-be-detected farmland image.
Optionally, the pixel area determining module specifically includes:
a pixel point area determination unit for determining pixel point area according to a formula
Determining the area of each pixel point to the ground;
wherein S is0The area of a pixel point is represented by a, b is the size of the visible light camera sensor, c, d is the maximum resolution of the visible light camera, h is the flying height of the unmanned aerial vehicle, and f is the focal length of the visible light camera.
Optionally, the module for determining the farmland area of the target to be measured specifically includes:
a farmland area determination unit of the target to be measured for determining the farmland area according to the formula SField (Tu)＝S0L, determining the area of a target farmland to be detected;
wherein S is0Is the area of the pixel point, L is the number of the pixel points in the target farmland image to be measured, SField (Tu)The area of the target farmland to be measured.
According to the specific embodiment provided by the invention, the invention discloses the following technical effects:
the invention provides a farmland land area measuring method and system based on calibration block target calibration, which comprises the steps of placing at least four calibration plates in a farmland to be measured, acquiring longitude and latitude coordinates of the center of each calibration plate measured by an RTK measuring system, then carrying out distortion correction on an image by utilizing the longitude and latitude coordinates of the center of each calibration plate to obtain an image of the farmland to be measured, and finally determining the area of a target farmland to be measured by utilizing the corrected image of the farmland to be measured.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without inventive exercise.
Fig. 1 is a flowchart of a farmland acre measuring method based on calibration block target calibration provided by an embodiment of the invention;
FIG. 2 is a schematic diagram of a positioning position of a calibration board according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a calibration plate according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a farmland acre measuring system based on calibration block-to-target calibration according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention aims to provide a farmland area measuring method and system based on calibration block target correction, which can accurately measure the farmland area and reduce the measurement cost.
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below.
Fig. 1 is a flowchart of a farmland mu measuring method based on calibration block target calibration provided by an embodiment of the present invention, and as shown in fig. 1, the farmland mu measuring method of the present invention includes:
s1, acquiring longitude and latitude coordinates of the center of each calibration plate measured by the RTK measuring system; the calibration plates are at least four, and each calibration plate is located at the end point of the farmland to be tested. Specifically, at least four calibration plates are placed in the farmland area to be measured. In the embodiment of the invention, four calibration plates are adopted, the calibration plates are square, but the invention is not limited to the square, the specific placement position is as shown in figure 2, an RTK reference station is fixedly arranged at any position beside a farmland to be measured, an RTK mobile station is respectively moved to the center of each calibration plate, and the longitude and latitude coordinates of the center of each calibration plate are determined; wherein the RTK measurement system includes the RTK base station and the RTK rover station.
Specifically, before unmanned aerial vehicle takes photo by plane collection information, place at the four corners position in the target farmland area that awaits measuring and be no less than 4 alternate black and white calibration boards as the control point for the distortion correction of aerial photograph, alternate black and white calibration board is as shown in fig. 3. A fixed RTK reference station is arranged on the left side of the field block, and the RTK rover station respectively measures longitude and latitude coordinates of the center of each calibration plate, wherein the longitude and latitude coordinate value is (X)1，Y1)、(X2，Y2)、(X3，Y3)、(X4，Y4)……(Xn，Yn) After the fixed RTK base station collects the positioning satellite data, the observed value and the latitude and longitude coordinate information of the base station are transmitted to the RTK rover station through the data chain, and the RTK rover station collects the collected positioning satellite dataThe satellite data and the received data chain are subjected to real-time carrier phase difference processing to obtain an accurate positioning result.
S2, acquiring a plurality of images shot by the shooting terminal; the shooting terminal is an unmanned aerial vehicle provided with a visible light camera, and specifically, the shooting terminal is adopted to collect images according to trigger signals at fixed time intervals, so that a plurality of images are obtained.
Utilize the shooting terminal gathers many images at fixed time interval, wherein, the shooting terminal is for being provided with the unmanned aerial vehicle of visible light camera. Specifically, the visible light camera is arranged towards the course direction of the unmanned aerial vehicle and is set to follow the course, the flight speed of the unmanned aerial vehicle is not more than 5m/s, the course repetition rate of the unmanned aerial vehicle is not less than 60%, the sidewise repetition rate of the unmanned aerial vehicle is not less than 55%, a flight control system of the unmanned aerial vehicle provides a fixed time interval, a trigger signal is given at every fixed time interval, the visible light camera carries out image acquisition on the ground after receiving the trigger signal, meanwhile, a position posture recorder on the unmanned aerial vehicle carries out recording of the position and the posture, the frequency of the trigger signal is not more than 1.5HZ, the visible light camera and the position posture recorder acquire information once when receiving each trigger signal, and therefore multiple images.
S3, determining the image of the farmland to be tested according to the longitude and latitude coordinates of the center of each calibration plate and the images, which specifically comprises the following steps:
3-1) splicing the multiple images by adopting three-dimensional model generation software to obtain a spliced farmland complete image; the spliced farmland complete image comprises at least four calibration plates. Specifically, three-dimensional model generation software (Agisosoft Photoscan Professional) of Russian Agisosoft LLC company is used for image splicing, all images of a field acquired by an unmanned aerial vehicle are spliced into a complete farmland image, and when the images are spliced, pitch angle, roll angle, course angle, altitude and illuminance information data of the unmanned aerial vehicle in a position posture recorder are led into the Agisosoft Photoscan Professional software for orthographic projection correction, image distortion is eliminated, and finally a complete spliced farmland image is obtained.
And 3-2) carrying out distortion correction on the spliced farmland complete image according to the longitude and latitude coordinates of the center of each calibration plate to obtain a farmland image to be detected.
Specifically, the longitude and latitude coordinates of the center of each calibration board and the spliced farmland complete image are input into Arcgis software, and the longitude and latitude coordinate value (X) of the center of each calibration board is utilized1，Y1)、(X2，Y2)、(X3，Y3)、(X4，Y4)……(Xn，Yn) And correspondingly splicing the centers of the calibration plates in the obtained farmland complete image to complete geographic registration to obtain the image of the farmland to be detected.
And S4, determining the area of each pixel point to the ground according to the shooting terminal, and recording the area as the area of the pixel point.
In particular, according to the formula
Determining the area of each pixel point to the ground; wherein S is0The area of a pixel point is represented by a, b is the size of the visible light camera sensor, c, d is the maximum resolution of the visible light camera, h is the flying height of the unmanned aerial vehicle, and f is the focal length of the visible light camera.
And S5, segmenting the farmland image to be detected by using an image segmentation method, and determining the farmland image to be detected.
And S6, processing the farmland image of the target to be detected by using digital image morphology, and determining the number of pixel points in the farmland image of the target to be detected.
Specifically, the field boundary is extracted by utilizing the difference (DN value difference) between the color and the gray value of the crop planting field in the aerial photography image and the surrounding area (threshold value division), the field image is subjected to dilation operation by utilizing digital image morphology, the internal area of the whole scale is filled, and the number L of pixel points contained in the field is calculated.
And S7, determining the area of the target farmland to be detected according to the number of the pixel points in the image of the target farmland to be detected and the area of the pixel points. In particular, according to the formula SField (Tu)＝S0L, determining the area of a target farmland to be detected; wherein S is0Is a pixelThe area of a point, L is the number of pixel points in the image of the target farmland to be measured, SField (Tu)The area of the target farmland to be measured.
For example, the following steps are carried out:
before unmanned aerial vehicle collection information that takes photo by plane, evenly place in the target farmland region of awaiting measuring and be no less than 4 alternate calibration boards of black and white for aerial photograph distortion correction.
Placing an RTK reference station at any position beside a farmland to be measured, and respectively measuring longitude and latitude coordinate values of the center of each calibration plate by using an RTK mobile station, wherein the longitude and latitude coordinate values are respectively as follows: (30 ° 18.01901603 'N, 120 ° 4.94072871' E), (30 ° 1801850574 'N, 120 ° 4.97754750' E), (30 ° 17.99159656 'N, 120 ° 4.96530048' E), (30 ° 17.99360271 'N, 120 ° 4.95161364' E).
The aerial photographing visible light camera is arranged towards the heading direction of the unmanned aerial vehicle and is set to follow the heading direction, and when image information is collected, the self-stabilizing cradle head ensures that the direction of a lens is vertical to the ground;
give trigger signal by unmanned aerial vehicle flight control system fixed time interval, visible light camera, position gesture recorder are shot simultaneously and are gathered information, and the trigger signal frequency is not more than 1.5 HZ. The aerial photography visible light camera is arranged towards the heading direction of the unmanned aerial vehicle and is set to be heading following, the flying speed is set to be 2.5m/s, the heading repetition rate of the unmanned aerial vehicle is set to be not less than 60%, the sidewise repetition rate of the unmanned aerial vehicle is set to be not less than 55%, and the flying speed is not more than 5 m/s. And completing image splicing according to the same characteristics of the front and back repeated images and the side and left and right repeated images of the photo course, and then performing orthoimage correction. And respectively corresponding the centers of the calibration plates to the corresponding longitude and latitude coordinates in the spliced aerial image map one by one, and completing geographical registration by using the calibration plates and the longitude and latitude coordinates in the image to obtain the longitude and latitude coordinates of each pixel point in the aerial image map.
Determining the area S of each pixel point to the ground area according to the unmanned aerial vehicle and the visible light camera0＝1.55*10-4m2. Finally according to the formula SField (Tu)＝S0L calculating the area S of the fieldField (Tu)：
SField (Tu)＝9.677*107·1.55*10-4＝15026m2。
The invention also provides a farmland mu measuring system based on calibration block target correction, as shown in fig. 4, the farmland mu measuring system comprises:
the longitude and latitude coordinate acquisition module 1 is used for acquiring longitude and latitude coordinates of the center of each calibration plate measured by the RTK measurement system; the calibration plates are at least four, and each calibration plate is located at the end point of the farmland area to be tested.
The multi-image obtaining module 2 is used for obtaining a plurality of images shot by the shooting terminal; wherein, shoot the unmanned aerial vehicle of terminal for being provided with the visible light camera.
And the farmland image to be detected determining module 3 is used for determining the farmland image to be detected according to the longitude and latitude coordinates of the center of each calibration plate and the plurality of images.
And the pixel point area determining module 4 is used for determining the area of each pixel point to the ground according to the shooting terminal and recording the area as the pixel point area.
And the to-be-detected target farmland image determining module 5 is used for segmenting the to-be-detected farmland image by using an image segmentation method and determining the to-be-detected target farmland image.
And the pixel number determining module 6 is used for processing the farmland image of the target to be detected by utilizing digital image morphology and determining the pixel number in the farmland image of the target to be detected.
And the target farmland area determination module 7 is used for determining the area of the target farmland to be detected according to the number of the pixel points in the target farmland image to be detected and the area of the pixel points.
Preferably, the longitude and latitude coordinate obtaining module 1 specifically includes:
the longitude and latitude coordinate determination unit is used for fixedly arranging an RTK reference station beside a farmland to be measured, respectively moving the RTK mobile station to the center of each calibration plate and determining the longitude and latitude coordinate of the center of each calibration plate; wherein the RTK measurement system includes the RTK base station and the RTK rover station.
Preferably, the module for determining an image of a farmland to be measured 3 specifically includes:
the spliced farmland complete image obtaining unit is used for splicing the multiple images by adopting three-dimensional model generation software to obtain a spliced farmland complete image; the spliced farmland complete image comprises at least four calibration plates.
And the to-be-detected farmland image determining unit is used for carrying out distortion correction on the spliced farmland complete image according to the longitude and latitude coordinates of the center of each calibration plate to obtain the to-be-detected farmland image.
Preferably, the pixel point area determining module 4 specifically includes:
a pixel point area determination unit for determining pixel point area according to a formula
Determining the area of each pixel point to the ground; wherein S is0The area of a pixel point is represented by a, b is the size of the visible light camera sensor, c, d is the maximum resolution of the visible light camera, h is the flying height of the unmanned aerial vehicle, and f is the focal length of the visible light camera.
Preferably, the module 7 for determining the farmland area of the target to be measured specifically includes:
a farmland area determination unit of the target to be measured for determining the farmland area according to the formula SField (Tu)＝S0L, determining the area of a target farmland to be detected; wherein S is0Is the area of the pixel point, L is the number of the pixel points in the target farmland image to be measured, SField (Tu)The area of the target farmland to be measured.
The traditional crop planting area measurement needs measuring tools such as measuring tapes and the like to measure the lengths of all boundaries of a field block on the spot, and then calculates the area by using a geometric method, so that the labor intensity is high, the cost is high, and the consumed time is long.
The traditional crop planting area measuring method is strong in subjectivity, mainly depends on the professional knowledge of operators, and the measurement accuracy is different due to the fact that the professional knowledge and experience of the operators are different, the area of a crop planting field with an irregular shape is difficult to calculate by a geometric method, and the stability and the reliability are difficult to maintain. The device is mature and stable, the measurement process is fixed and streamlined, the artificial influence is eliminated, the precision can reach more than 98 percent through the verification of actual production, and the stability can reach more than 99 percent.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. For the system disclosed by the embodiment, the description is relatively simple because the system corresponds to the method disclosed by the embodiment, and the relevant points can be referred to the method part for description.
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 (10)
1. A farmland mu measuring method based on calibration block target correction is characterized by comprising the following steps:
acquiring longitude and latitude coordinates of the center of each calibration plate measured by an RTK measuring system; the number of the calibration plates is at least four, and each calibration plate is positioned at the end point of the farmland area to be tested;
acquiring a plurality of images shot by a shooting terminal; the shooting terminal is an unmanned aerial vehicle provided with a visible light camera;
determining an image of a farmland to be tested according to the longitude and latitude coordinates of the center of each calibration plate and the plurality of images;
determining the area of each pixel point to the ground according to the shooting terminal, and recording the area as the area of the pixel point;
segmenting the farmland image to be detected by using an image segmentation method to determine a target farmland image to be detected;
processing the farmland image of the target to be detected by using digital image morphology, and determining the number of pixel points in the farmland image of the target to be detected;
and determining the area of the target farmland to be detected according to the number of the pixel points in the image of the target farmland to be detected and the area of the pixel points.
2. The calibration block target correction-based farmland mu measuring method according to claim 1, wherein the acquiring longitude and latitude coordinates of the center of each calibration plate measured by the RTK measuring system specifically comprises:
fixedly arranging an RTK reference station beside a farmland to be measured, respectively moving an RTK mobile station to the center of each calibration plate, and determining the longitude and latitude coordinates of the center of each calibration plate; wherein the RTK measurement system includes the RTK base station and the RTK rover station.
3. The farmland mu measuring method based on calibration block to target correction according to claim 1, wherein the determining of the image of the farmland to be measured according to the longitude and latitude coordinates of the center of each calibration plate and the plurality of images specifically comprises:
splicing the multiple images by adopting three-dimensional model generation software to obtain a spliced farmland complete image; the spliced farmland complete image comprises at least four calibration plates;
and carrying out distortion correction on the spliced farmland complete image according to the longitude and latitude coordinates of the center of each calibration plate to obtain a farmland image to be detected.
4. The farmland mu measuring method based on calibration block target calibration according to claim 1, wherein the determining of the area of each pixel point to the ground according to the shooting terminal and the marking as the area of the pixel point specifically comprises:
according to the formula
Determining the area of each pixel point to the ground;
wherein，S0The area of a pixel point is represented by a, b is the size of the visible light camera sensor, c, d is the maximum resolution of the visible light camera, h is the flying height of the unmanned aerial vehicle, and f is the focal length of the visible light camera.
5. The farmland mu measuring method based on calibration block target correction according to claim 1, wherein the determining of the area of the target farmland according to the number of pixel points in the image of the target farmland and the area of the pixel points specifically comprises:
according to the formula SField (Tu)＝S0L, determining the area of a target farmland to be detected;
wherein S is0Is the area of the pixel point, L is the number of the pixel points in the target farmland image to be measured, SField (Tu)The area of the target farmland to be measured.
6. A farmland mu measuring system based on calibration block target correction is characterized in that the farmland mu measuring system comprises:
the longitude and latitude coordinate acquisition module is used for acquiring longitude and latitude coordinates of the center of each calibration plate measured by the RTK measuring system; the number of the calibration plates is at least four, and each calibration plate is positioned at the end point of the farmland area to be tested;
the system comprises a plurality of image acquisition modules, a shooting terminal and a display module, wherein the plurality of image acquisition modules are used for acquiring a plurality of images shot by the shooting terminal; the shooting terminal is an unmanned aerial vehicle provided with a visible light camera;
the farmland image to be detected determining module is used for determining the farmland image to be detected according to the longitude and latitude coordinates of the center of each calibration plate and the images;
the pixel point area determining module is used for determining the area of each pixel point to the ground according to the shooting terminal and recording the area as the pixel point area;
the image segmentation module is used for segmenting the image of the farmland to be detected by utilizing an image segmentation method to determine the image of the farmland to be detected;
the device comprises a module for determining the number of pixel points in a farmland image of a target to be detected, and a module for determining the number of pixel points in the farmland image of the target to be detected, wherein the module is used for processing the farmland image of the target to be detected by utilizing digital image morphology;
and the target farmland area determination module is used for determining the area of the target farmland to be detected according to the number of the pixel points in the target farmland image to be detected and the area of the pixel points.
7. The calibration block target correction-based farmland field side-measuring system according to claim 6, wherein the latitude and longitude coordinate acquisition module specifically comprises:
the longitude and latitude coordinate determination unit is used for fixedly arranging an RTK reference station beside a farmland to be measured, respectively moving the RTK mobile station to the center of each calibration plate and determining the longitude and latitude coordinate of the center of each calibration plate; wherein the RTK measurement system includes the RTK base station and the RTK rover station.
8. The farmland mu measuring system based on calibration block to target correction of claim 6, wherein the farmland image to be measured determining module specifically comprises:
the spliced farmland complete image obtaining unit is used for splicing the multiple images by adopting three-dimensional model generation software to obtain a spliced farmland complete image; the spliced farmland complete image comprises at least four calibration plates;
and the to-be-detected farmland image determining unit is used for carrying out distortion correction on the spliced farmland complete image according to the longitude and latitude coordinates of the center of each calibration plate to obtain the to-be-detected farmland image.
9. The calibration-block-target-correction-based farmland acre measuring system of claim 6, wherein the pixel point area determination module specifically comprises:
a pixel point area determination unit for determining pixel point area according to a formula
Determining the area of each pixel point to the ground;
wherein S is0The area of a pixel point is represented by a, b is the size of the visible light camera sensor, c, d is the maximum resolution of the visible light camera, h is the flying height of the unmanned aerial vehicle, and f is the focal length of the visible light camera.
10. The farmland mu measuring system based on calibration block to target correction according to claim 6, wherein the farmland area determination module of the object to be measured specifically comprises:
a farmland area determination unit of the target to be measured for determining the farmland area according to the formula SField (Tu)＝S0L, determining the area of a target farmland to be detected;
wherein S is0Is the area of the pixel point, L is the number of the pixel points in the target farmland image to be measured, SField (Tu)The area of the target farmland to be measured.
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