CN112902928A - Unmanned aerial vehicle aerial photography measurement method and system thereof - Google Patents
Unmanned aerial vehicle aerial photography measurement method and system thereof Download PDFInfo
- Publication number
- CN112902928A CN112902928A CN202110083133.XA CN202110083133A CN112902928A CN 112902928 A CN112902928 A CN 112902928A CN 202110083133 A CN202110083133 A CN 202110083133A CN 112902928 A CN112902928 A CN 112902928A
- Authority
- CN
- China
- Prior art keywords
- aerial vehicle
- unmanned aerial
- data
- ground
- measurement
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000691 measurement method Methods 0.000 title claims abstract description 16
- 238000005259 measurement Methods 0.000 claims abstract description 37
- 238000000034 method Methods 0.000 claims abstract description 26
- 238000005286 illumination Methods 0.000 claims abstract description 4
- 238000003384 imaging method Methods 0.000 claims abstract description 4
- 238000012545 processing Methods 0.000 claims description 37
- 238000012544 monitoring process Methods 0.000 claims description 9
- RZVHIXYEVGDQDX-UHFFFAOYSA-N 9,10-anthraquinone Chemical compound C1=CC=C2C(=O)C3=CC=CC=C3C(=O)C2=C1 RZVHIXYEVGDQDX-UHFFFAOYSA-N 0.000 claims description 6
- 238000005516 engineering process Methods 0.000 claims description 6
- 238000004891 communication Methods 0.000 claims description 4
- 238000007405 data analysis Methods 0.000 claims description 4
- 238000004458 analytical method Methods 0.000 claims description 3
- 238000010276 construction Methods 0.000 claims description 3
- 238000012937 correction Methods 0.000 claims description 3
- 238000013480 data collection Methods 0.000 claims description 3
- 238000013461 design Methods 0.000 claims description 3
- 238000009966 trimming Methods 0.000 claims description 3
- 238000004364 calculation method Methods 0.000 claims 1
- 230000000694 effects Effects 0.000 abstract description 2
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000006243 chemical reaction Methods 0.000 description 2
- 238000012217 deletion Methods 0.000 description 2
- 230000037430 deletion Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000013507 mapping Methods 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 238000011835 investigation Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C11/00—Photogrammetry or videogrammetry, e.g. stereogrammetry; Photographic surveying
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
- G06T17/05—Geographic models
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2200/00—Indexing scheme for image data processing or generation, in general
- G06T2200/08—Indexing scheme for image data processing or generation, in general involving all processing steps from image acquisition to 3D model generation
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
- Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Geometry (AREA)
- Remote Sensing (AREA)
- Software Systems (AREA)
- General Physics & Mathematics (AREA)
- Computer Graphics (AREA)
- Theoretical Computer Science (AREA)
- Multimedia (AREA)
- Radar, Positioning & Navigation (AREA)
- Image Processing (AREA)
- Processing Or Creating Images (AREA)
Abstract
The invention discloses an unmanned aerial vehicle aerial photography measurement method and a system thereof, relating to the technical field of unmanned aerial vehicle aerial photography measurement; the problem of ensuring the aerial photographing effect of the unmanned aerial vehicle is solved; the method specifically comprises the following steps of site measurement and determination: and (3) identifying the measurement area range when the vehicle arrives at the site, analyzing the satellite map of the measurement area, and judging the weather conditions: observing the measurement weather, selecting cloudy weather or cloudy day with high brightness, increasing exposure time if the illumination is poor, determining that the imaging quality is good if the iso value is low, and simultaneously determining the field wind speed, the ground grade four wind and below the grade four wind are proper, outputting the wind in the opposite direction, returning the wind in the same direction, controlling the temperature to be 0-40 ℃, influencing the stability of the battery and the precision of a camera if the temperature is too high or too low, and recording the information of the wind speed, the weather, the lifting coordinates and the like of the day. The invention can obtain the image with higher resolution, basically cannot be interfered by the cloud layer, and simultaneously freely controls the height formed between the image and the ground, so that the obtained image data is more detailed and has higher resolution.
Description
Technical Field
The invention relates to the technical field of unmanned aerial vehicle aerial photography measurement, in particular to an unmanned aerial vehicle aerial photography measurement method and system.
Background
With the vigorous development of the aerial survey technology of the unmanned aerial vehicle, the conventional aerial photogrammetry with poor timeliness and high cost is replaced to a certain extent. Currently, the unmanned aerial vehicle aerial survey technology not only longitudinally extends in the fields of agriculture, forestry, water conservancy and traffic; in the surveying and mapping field, the two parts also transversely intersect with each other, particularly in the engineering measurement field, and have preliminary application in feasibility research and early planning of conventional earth and rockfill engineering measurement, road measurement, power transmission line measurement and the like, and gradually embody the superiority and convenience of the device.
Through retrieval, the patent with the Chinese patent application number of CN201210037780.8 discloses an unmanned aerial vehicle aerial photography measurement method and an unmanned aerial vehicle aerial photography measurement system, which can obtain accurate exposure point position coordinates of aerial plane photography and record signals of an aerial camera at the exposure time. An unmanned aerial vehicle aerial photography measurement method comprises the step of acquiring a single-frequency signal and a double-frequency signal which are sent by a satellite and are related to the position of an unmanned aerial vehicle by using a global navigation satellite system. In the above patent, the unmanned aerial vehicle aerial photography measurement method and the unmanned aerial vehicle aerial photography measurement system have the following disadvantages:
the whole device does not consider weather conditions and equipment detection in the unmanned aerial vehicle aerial photography measurement method although the work of unmanned aerial vehicle aerial photography measurement is achieved, and therefore the problem of poor unmanned aerial vehicle aerial photography effect can be caused.
Disclosure of Invention
The invention aims to solve the defects in the prior art and provides an unmanned aerial vehicle aerial photography measurement method and system.
In order to achieve the purpose, the invention adopts the following technical scheme:
an unmanned aerial vehicle aerial photography measurement method comprises the following steps:
s1: and (3) site measurement determination: when the satellite arrives at the site, identifying the range of the measurement area, and analyzing the satellite map of the measurement area;
s2: judging weather conditions: observing the measurement weather, selecting cloudy weather or cloudy day with high brightness, increasing exposure time if the illumination is poor, determining that the imaging quality is good if the iso value is low, and simultaneously determining the field wind speed, the ground grade four wind and below the ground grade four wind are proper, outputting the wind in the opposite direction, returning the wind in the same direction, and influencing the stability of the battery and the precision of a camera if the temperature is 0-40 ℃, recording the information of the wind speed, the weather, the lifting coordinates and the like of the day, and reserving the data reference and analysis summary in the future;
s3: and (3) taking off and detecting the equipment: the remote controller is inserted into the 4G network card, the SIM card is installed and checked, the cos is connected with the signal for checking, and meanwhile, the electric quantity of the battery of the airplane and the remote controller is checked;
s4: the unmanned plane takes off:
s5: monitoring the working state of the unmanned aerial vehicle: the section of the remote controller antenna faces the aircraft to obtain an optimal signal, the task can be manually ended when the battery is insufficient, the task can be continuously executed after the battery is replaced, and emergency conditions are prepared and processed at any time;
s6: data and image acquisition: image control points are reasonably distributed in the range of a measuring area, control points are usually arranged around and in the middle of the measuring area, at least 3 control points are required to complete reconstruction of a model, at least 5 image control points are required for 0.3 square kilometer and are uniformly distributed, the control points are not required to be arranged at positions which are too close to the edge of the measuring area, ground image control point data collection is required to be performed by using the same cors port as an unmanned aerial vehicle, and after the unmanned aerial vehicle falls down, pictures in an SD card are guided into a computer for image construction;
s7: data analysis and processing: the unmanned aerial vehicle aerial photography data processing process is basically consistent with the traditional aerial photogrammetry data processing process, and comprises the processes of adjusting the area network by a beam method, generating a DEM by image matching, generating a DOM by differential correction and the like;
s8: equipment arrangement: and checking the residual electric quantity of the airplane and the remote controller, replacing and accommodating the battery, and accommodating the airplane and the remote controller into a designated position in the box.
Preferably: the unmanned aerial vehicle takeoff program comprises the following steps:
s41: click planning → click photogrammetry → click map establishment of the first waypoint (double click deletion) → waypoint setting → selected area → setting flight height → adjusting course repetition rate → adjusting margin;
s42: camera setup → photo scale → white balance → set pan tilt angle → propose close distortion trimming for improved accuracy;
s43: return to main interface → click save → input task name → determine → switch to camera → adjust camera parameters → click execute → read attention click determine → right slide start to execute flight work.
The utility model provides a system for unmanned aerial vehicle aerial photography measurement, includes GPS navigation satellite, unmanned aerial vehicle remote sensing platform, ground control, data receiving module, mobile ground station and cloud computing server, GPS navigation satellite is connected with the unmanned aerial vehicle organism through GPS receipt and transmitter, and unmanned aerial vehicle rocker platform is connected with mobile ground station through wireless communication network, ground control is connected with unmanned aerial vehicle through wireless module and repeater, ground control includes that ground data accepts and processing module, and cloud computing server includes data processing center, mobile ground station is connected with data processing center through wireless network, unmanned aerial vehicle remote sensing platform and ground data accept and processing module are connected with data receiving module through wireless network.
On the basis of the scheme: the data receiving and processing module comprises a collecting module and a processing module, the collecting module is composed of a flight control assembly and a ground monitoring assembly, the flight control assembly accurately obtains the area where each aircraft is located by means of navigation of the positioning system, and the flight condition is comprehensively monitored by utilizing a digital technology, so that information is effectively collected.
The better scheme in the scheme is as follows: the processing module comprises a remote sensing photo processing module, an aerial triangle processing module and a three-dimensional modeling module, wherein the remote sensing photo processing module is used for processing the remote sensing photo, and is characterized in that file data such as camera calibration parameters and aerial photography standard tables are scientifically processed, the aerial triangle generates a three-dimensional model by means of a specified program to generate a epipolar line image, and finally the three-dimensional modeling module is used for visually processing virtual terrain and ground objects to obtain detailed data.
As a further scheme of the invention: the data processing center adjusts the image proportion and the DEM data proportion, timely adjusts distortion difference generated by the image by adjusting the image proportion, and comprehensively corrects principal point coordinates and distortion parameters, so that the accuracy of calculating the external orientation element is improved.
Meanwhile, the DEM data proportion adopts an orthographic projection mode to scientifically design a model, grid data with multiple models and multiple characteristics is scientifically collected and configured through Pixe lGrid software, accurate operation of partial DEM point positions and ground characteristics on a measuring area is guaranteed, in operation, the surveying area is determined by a surveying unit with the DEM point positions as the center, and an orthographic image is generated by the method, so that the application range of the software is directly expanded.
As a preferable aspect of the present invention: the ground monitoring component is mainly used for transmitting data and information generated in the flight operation of the unmanned aerial vehicle.
The invention has the beneficial effects that:
1. according to the unmanned aerial vehicle aerial photography measurement method and the unmanned aerial vehicle aerial photography measurement system, the unmanned aerial vehicle is used in the low-altitude aerial photography process, the reaction rate is improved, the remarkable maneuverability and flexibility are shown, the requirement of a high take-off and landing place is avoided, the installation and debugging operation level is formed, shooting work can be arranged in sudden accidents in a set area or in a severe weather environment, related technologies are utilized on the premise that the time is relatively short and the surveying and mapping work is very heavy, image information can be rapidly obtained in a short period, and reference data are provided for processing sudden events such as earthquakes, mountain landslide and the like.
2. According to the unmanned aerial vehicle aerial photography measurement method and the unmanned aerial vehicle aerial photography measurement system, images with high resolution can be obtained, interference of cloud layers is basically avoided, meanwhile, the height formed by the images and the ground is freely controlled, and the obtained image data are more detailed and have high resolution.
3. According to the unmanned aerial vehicle aerial photography measurement method and the unmanned aerial vehicle aerial photography measurement system, the investment cost is relatively low in the unmanned aerial vehicle application process, good feedback capacity is formed in the exploration process, time cannot be wasted, and the unmanned aerial vehicle aerial photography measurement method and the unmanned aerial vehicle aerial photography measurement system are beneficial to conversion and application in different areas. The lifting place with professional characteristics is not required to be constructed, the labor cost is saved, and the investment is reduced.
Drawings
Fig. 1 is a schematic flow chart of an unmanned aerial vehicle aerial photography measurement method according to the present invention;
fig. 2 is a schematic diagram of a system for aerial surveying of an unmanned aerial vehicle according to the present invention;
fig. 3 is an algorithm diagram of the aerial survey of the unmanned aerial vehicle according to 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.
Example 1:
an unmanned aerial vehicle aerial surveying method, as shown in fig. 1, includes the following steps:
s1: and (3) site measurement determination: when the satellite arrives at the site, identifying the range of the measurement area, and analyzing the satellite map of the measurement area;
s2: judging weather conditions: observing the measurement weather, selecting cloudy weather or cloudy day with high brightness, increasing exposure time if the illumination is poor, determining that the imaging quality is good if the iso value is low, and simultaneously determining the field wind speed, the ground grade four wind and below the ground grade four wind are proper, outputting the wind in the opposite direction, returning the wind in the same direction, and influencing the stability of the battery and the precision of a camera if the temperature is 0-40 ℃, recording the information of the wind speed, the weather, the lifting coordinates and the like of the day, and reserving the data reference and analysis summary in the future;
s3: and (3) taking off and detecting the equipment: the remote controller is inserted into the 4G network card, the SIM card is installed and checked, the cos is connected with the signal for checking, and meanwhile, the electric quantity of the battery of the airplane and the remote controller is checked;
s4: the unmanned plane takes off:
s41: click planning → click photogrammetry → click map establishment of the first waypoint (double click deletion) → waypoint setting → selected area → setting flight height → adjusting course repetition rate → adjusting margin;
s42: camera setup → photo scale → white balance → set pan tilt angle → propose close distortion trimming for improved accuracy;
s43: returning to the main interface → saving click → inputting task name → determining → switching to camera → adjusting camera parameters → executing click → determining click of reading attention point → starting to execute flight work by right slide;
s5: monitoring the working state of the unmanned aerial vehicle: the section of the remote controller antenna faces the aircraft to obtain an optimal signal, the task can be manually ended when the battery is insufficient, the task can be continuously executed after the battery is replaced, and emergency conditions are prepared and processed at any time;
s6: data and image acquisition: image control points are reasonably distributed in the range of a measuring area, control points are usually arranged around and in the middle of the measuring area, at least 3 control points are required to complete reconstruction of a model, at least 5 image control points are required for 0.3 square kilometer and are uniformly distributed, the control points are not required to be arranged at positions which are too close to the edge of the measuring area, ground image control point data collection is required to be performed by using the same cors port as an unmanned aerial vehicle, and after the unmanned aerial vehicle falls down, pictures in an SD card are guided into a computer for image construction;
s7: data analysis and processing: the unmanned aerial vehicle aerial photography data processing process is basically consistent with the traditional aerial photogrammetry data processing process, and comprises the processes of adjusting the area network by a beam method, generating a DEM by image matching, generating a DOM by differential correction and the like;
s8: equipment arrangement: and checking the residual electric quantity of the airplane and the remote controller, replacing and accommodating the battery, and accommodating the airplane and the remote controller into a designated position in the box.
Example 2:
the utility model provides a system for unmanned aerial vehicle aerial photography measurement, as shown in figure 2, including GPS navigation satellite, unmanned aerial vehicle remote sensing platform, ground control, data receiving module, mobile ground station and cloud computing server, GPS navigation satellite is connected with the unmanned aerial vehicle organism through GPS receipt and transmitter, and unmanned aerial vehicle rocker platform is connected with mobile ground station through wireless communication network, ground control is connected with unmanned aerial vehicle through wireless module and repeater, ground control includes ground data acceptance and processing module, and cloud computing server includes data processing center, mobile ground station is connected with data processing center through wireless network, unmanned aerial vehicle remote sensing platform and ground data acceptance are connected with data receiving module through wireless network with processing module.
The data receiving and processing module comprises an acquisition module and a processing module, the acquisition module consists of a flight control assembly and a ground monitoring assembly, the flight control assembly accurately acquires the area where each aircraft is located by means of navigation of a positioning system, and the flight condition is comprehensively monitored by using a digital technology, so that information is effectively acquired; the ground monitoring component is mainly used for transmitting data and information generated in the flight operation of the unmanned aerial vehicle.
The processing module comprises a remote sensing photo processing module, an aerial triangle processing module and a three-dimensional modeling module, wherein the remote sensing photo processing module is used for processing the remote sensing photo, and is characterized in that file data such as camera calibration parameters and aerial photography standard tables are scientifically processed, the aerial triangle generates a three-dimensional model by means of a specified program to generate a epipolar line image, and finally the three-dimensional modeling module is used for visually processing virtual terrain and ground objects to obtain detailed data.
The data processing center adjusts the image proportion and the DEM data proportion, timely adjusts distortion difference generated by the image by adjusting the image proportion, and comprehensively corrects principal point coordinates and distortion parameters, so that the accuracy of calculating the external orientation element is improved.
According to the DEM data proportion, an orthographic projection mode is adopted to scientifically design a model, grid data with multiple models and multiple characteristics is scientifically collected and configured through Pixe lGrid software, accurate operation of partial DEM point positions on a measuring area and ground characteristics is guaranteed, in operation, the surveying area is determined by a surveying unit with the DEM point positions as the center, an orthographic image is generated by means of the method, and the application range of the software is directly expanded.
Solving an algorithm:
s1: dividing the area to be aerial-photographed by collecting data, and carrying out high-low aerial photography of the unmanned aerial vehicle;
s2: meanwhile, an orthoimage is made, the quality of the orthoimage is checked, when the orthoimage is not qualified, the orthoimage is repeatedly shot and made, after the orthoimage is qualified, the intra-industry image classification and image information interpretation are carried out, and in the process, the unmanned aerial vehicle can carry out oblique photography and three-dimensional modeling, so that the intra-industry image classification and image information interpretation and acquisition work is ensured;
s3: the industry image classification and image information interpretation collection work comprises the collection of three aspects: point element collection, line element collection and face element collection, and making an industrial work base map for each collected data;
s4: the quality of the work base map is checked through data analysis of the work base map, and if the work base map is not qualified, the work base map returns to the industry classification and information interpretation collection work, and if the work base map is qualified, the work base map carries out field repair measurement and on-site verification investigation work on the data;
s5: and simultaneously, searching and sorting the urban infrastructure data in the area, submitting aerial data to an urban infrastructure database, and performing data storage and filing work.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (8)
1. An unmanned aerial vehicle aerial photography measurement method is characterized by comprising the following steps:
s1: and (3) site measurement determination: when the satellite arrives at the site, identifying the range of the measurement area, and analyzing the satellite map of the measurement area;
s2: judging weather conditions: observing the measurement weather, selecting cloudy weather or cloudy day with high brightness, increasing exposure time if the illumination is poor, determining that the imaging quality is good if the iso value is low, and simultaneously determining the field wind speed, the ground grade four wind and below the ground grade four wind are proper, outputting the wind in the opposite direction, returning the wind in the same direction, and influencing the stability of the battery and the precision of a camera if the temperature is 0-40 ℃, recording the information of the wind speed, the weather, the lifting coordinates and the like of the day, and reserving the data reference and analysis summary in the future;
s3: and (3) taking off and detecting the equipment: the remote controller is inserted into the 4G network card, the SIM card is installed and checked, the cos is connected with the signal for checking, and meanwhile, the electric quantity of the battery of the airplane and the remote controller is checked;
s4: the unmanned plane takes off:
s5: monitoring the working state of the unmanned aerial vehicle: the section of the remote controller antenna faces the aircraft to obtain an optimal signal, the task can be manually ended when the battery is insufficient, the task can be continuously executed after the battery is replaced, and emergency conditions are prepared and processed at any time;
s6: data and image acquisition: image control points are reasonably distributed in the range of a measuring area, control points are usually arranged around and in the middle of the measuring area, at least 3 control points are required to complete reconstruction of a model, at least 5 image control points are required for 0.3 square kilometer and are uniformly distributed, the control points are not required to be arranged at positions which are too close to the edge of the measuring area, ground image control point data collection is required to be performed by using the same cors port as an unmanned aerial vehicle, and after the unmanned aerial vehicle falls down, pictures in an SD card are guided into a computer for image construction;
s7: data analysis and processing: the unmanned aerial vehicle aerial photography data processing process is basically consistent with the traditional aerial photogrammetry data processing process, and comprises the processes of adjusting the area network by a beam method, generating a DEM by image matching, generating a DOM by differential correction and the like;
s8: equipment arrangement: and checking the residual electric quantity of the airplane and the remote controller, replacing and accommodating the battery, and accommodating the airplane and the remote controller into a designated position in the box.
2. The unmanned aerial vehicle aerial surveying method of claim 1, wherein the unmanned aerial vehicle takeoff procedure comprises the steps of:
s41: click planning → click photogrammetry → click map establishment of the first waypoint → waypoint setting → selected area → setting of flight height → adjustment of the repetition rate of the route → adjustment of margin;
s42: camera setup → photo scale → white balance → set pan tilt angle → propose close distortion trimming for improved accuracy;
s43: return to main interface → click save → input task name → determine → switch to camera → adjust camera parameters → click execute → read attention click determine → right slide start to execute flight work.
3. The utility model provides an unmanned aerial vehicle takes photo by plane system of measurement, a serial communication port, including GPS navigation satellite, unmanned aerial vehicle remote sensing platform, ground control, data receiving module, remove ground station and cloud computing server, GPS navigation satellite is connected with the unmanned aerial vehicle organism through GPS receipt and transmitter, and unmanned aerial vehicle rocker platform is connected with removing ground station through wireless communication network, ground control is connected with unmanned aerial vehicle through wireless module and repeater, ground control includes ground data acceptance and processing module, and cloud computing server includes data processing center, it is connected with data processing center through wireless network to remove ground station, unmanned aerial vehicle remote sensing platform and ground data acceptance are connected with data receiving module through wireless network with processing module.
4. The unmanned aerial vehicle aerial photography measurement system of claim 3, wherein the data receiving and processing module comprises an acquisition module and a processing module, the acquisition module comprises a flight control assembly and a ground monitoring assembly, the flight control assembly accurately acquires the area of each aircraft by means of navigation of a positioning system, and the flight condition is comprehensively monitored by using a digitization technology, so that information is effectively acquired.
5. The system of claim 4, wherein the processing module comprises processing the remote sensing photo, aerial triangles and three-dimensional modeling, and the processing module is configured to process the remote sensing photo, wherein the key is to scientifically process file data such as camera calibration parameters and aerial photography standard tables, generate a three-dimensional stereo model by the aerial triangles according to a specified program, generate a epipolar line image, and finally perform three-dimensional modeling, namely, visually process virtual terrain and ground objects, so as to obtain detailed data.
6. The system of claim 3, wherein the data processing center comprises an image scale adjustment unit and a DEM data scale adjustment unit, and the image scale adjustment unit adjusts distortion differences generated by the images in time to comprehensively correct principal point coordinates and distortion parameters, thereby improving the accuracy of the calculation of the exterior orientation elements.
7. The unmanned aerial vehicle aerial photography measurement system of claim 6, wherein the DEM data proportion is to adopt an orthographic projection mode to scientifically design a model, grid data with multiple models and multiple characteristics is scientifically collected and configured through Pixe lGrid software, and it is ensured that the accurate operation is realized between the DEM point positions on the upper part of a measurement area and the ground characteristics, in operation, the measurement area is determined by a survey unit with the survey unit as the center, and an orthographic image is generated by means of the method, so that the application range of the software is directly expanded.
8. The system of claim 4, wherein the ground monitoring component is configured to transmit data and information generated during flight operations of the drone.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110083133.XA CN112902928A (en) | 2021-01-21 | 2021-01-21 | Unmanned aerial vehicle aerial photography measurement method and system thereof |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110083133.XA CN112902928A (en) | 2021-01-21 | 2021-01-21 | Unmanned aerial vehicle aerial photography measurement method and system thereof |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112902928A true CN112902928A (en) | 2021-06-04 |
Family
ID=76117577
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110083133.XA Pending CN112902928A (en) | 2021-01-21 | 2021-01-21 | Unmanned aerial vehicle aerial photography measurement method and system thereof |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112902928A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114212251A (en) * | 2022-02-21 | 2022-03-22 | 中国电建集团西北勘测设计研究院有限公司 | Land wind power plant unmanned aerial vehicle remote micro-site selection mapping device and method |
| CN114942013A (en) * | 2022-04-29 | 2022-08-26 | 浙江航冠工程设计有限公司 | A remote sensing unmanned aerial vehicle for topographic information gathers |
| CN117367429A (en) * | 2023-10-13 | 2024-01-09 | 黑龙江省水利科学研究院 | Remote sensing image-based working base map and unmanned aerial vehicle technology-based route image control point distribution algorithm |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102607527A (en) * | 2012-02-17 | 2012-07-25 | 中测新图(北京)遥感技术有限责任公司 | UAV (unmanned aerial vehicle) aerial photography measurement method and UAV aerial photography measurement system |
| CN105865427A (en) * | 2016-05-18 | 2016-08-17 | 三峡大学 | Individual geological disaster emergency investigation method based on remote sensing of small unmanned aerial vehicle |
| CN210625664U (en) * | 2019-12-03 | 2020-05-26 | 江西地信数云科技有限公司 | Portable engineering measuring device |
-
2021
- 2021-01-21 CN CN202110083133.XA patent/CN112902928A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102607527A (en) * | 2012-02-17 | 2012-07-25 | 中测新图(北京)遥感技术有限责任公司 | UAV (unmanned aerial vehicle) aerial photography measurement method and UAV aerial photography measurement system |
| CN105865427A (en) * | 2016-05-18 | 2016-08-17 | 三峡大学 | Individual geological disaster emergency investigation method based on remote sensing of small unmanned aerial vehicle |
| CN210625664U (en) * | 2019-12-03 | 2020-05-26 | 江西地信数云科技有限公司 | Portable engineering measuring device |
Non-Patent Citations (8)
| Title |
|---|
| 万刚等: "《无人机测绘技术及应用》", 31 December 2015, 测绘出版社 * |
| 侍茂崇 等: "《海洋调查方法》", 31 July 2000, 青岛海洋大学出版社 * |
| 吕红军等: "《宁夏无人机遥感监测理论与实践》", 30 November 2018, 宁夏人民教育出版社 * |
| 吴铁峰: "《无人机测量系统及其数据处理技术研究》", 31 August 2018, 吉林大学出版社 * |
| 张兰等: "城市基础设施普查方法", 《地矿测绘》 * |
| 李慧等: "《农业机械维护技术 大田种植业部分》", 31 January 2018, 中国农业大学出版社 * |
| 林卉等: "《数字摄影测量学》", 31 August 2015, 中国矿业大学出版社 * |
| 段延松: "《无人机测绘生产》", 31 July 2019, 武汉大学出版社 * |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114212251A (en) * | 2022-02-21 | 2022-03-22 | 中国电建集团西北勘测设计研究院有限公司 | Land wind power plant unmanned aerial vehicle remote micro-site selection mapping device and method |
| CN114212251B (en) * | 2022-02-21 | 2022-05-31 | 中国电建集团西北勘测设计研究院有限公司 | Land wind power plant unmanned aerial vehicle remote micro-site selection mapping device and method |
| CN114942013A (en) * | 2022-04-29 | 2022-08-26 | 浙江航冠工程设计有限公司 | A remote sensing unmanned aerial vehicle for topographic information gathers |
| CN114942013B (en) * | 2022-04-29 | 2024-05-14 | 浙江航冠工程设计有限公司 | Remote sensing unmanned aerial vehicle for collecting topographic information |
| CN117367429A (en) * | 2023-10-13 | 2024-01-09 | 黑龙江省水利科学研究院 | Remote sensing image-based working base map and unmanned aerial vehicle technology-based route image control point distribution algorithm |
| CN117367429B (en) * | 2023-10-13 | 2024-05-14 | 黑龙江省水利科学研究院 | Remote sensing image-based working base map and unmanned aerial vehicle technology-based route image control point distribution algorithm |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN114518104B (en) | Method, system and storage medium for surveying and mapping territory based on dynamic remote sensing monitoring technology | |
| CN112902928A (en) | Unmanned aerial vehicle aerial photography measurement method and system thereof | |
| CN111537515A (en) | Iron tower bolt defect display method and system based on three-dimensional live-action model | |
| CN111091613A (en) | Three-dimensional live-action modeling method based on unmanned aerial vehicle aerial survey | |
| CZ341696A3 (en) | Method of acquisition, evaluation, measuring and storage of geological information | |
| CN110503080A (en) | Investigation method based on unmanned plane oblique photograph auxiliary sewage draining exit | |
| CN109163715B (en) | Electric power station selection surveying method based on unmanned aerial vehicle RTK technology | |
| CN104933223A (en) | Power transmission line channel digital surveying method | |
| CN115147538A (en) | Method for dynamically updating live-action three-dimensional modeling based on environment monitoring unmanned aerial vehicle | |
| CN115752381A (en) | Mine monitoring method based on unmanned aerial vehicle remote sensing technology | |
| CN111189433A (en) | Karst peak forest landform parameter measuring method based on unmanned aerial vehicle aerial photography | |
| CN111540049A (en) | Geological information identification and extraction system and method | |
| CN114898053A (en) | Three-dimensional space image technology-based fractured loose rock mass development range delineation method | |
| CN112801983A (en) | Slope global settlement detection method and system based on photogrammetry | |
| CN117572883A (en) | Unmanned aerial vehicle data acquisition system based on hyperspectral remote sensing and laser radar remote sensing | |
| CN116129064A (en) | Electronic map generation method, device, equipment and storage medium | |
| CN114943890A (en) | Transformer substation field flatness identification method adopting unmanned aerial vehicle-mounted laser point cloud | |
| CN114001715A (en) | Environment geological survey method of high-altitude remote sensing and low-altitude unmanned oblique photography | |
| CN212903083U (en) | Modeling measurement and control system applied to ancient city wall sites | |
| Mamajonova et al. | Main Methods of Creating Topographic Maps: A Comprehensive Review | |
| CN114359489A (en) | Method, device and equipment for making real-scene image in pipeline construction period and storage medium | |
| CN115962755A (en) | Earth and stone calculation method based on unmanned aerial vehicle oblique photography technology | |
| CN114723876A (en) | Method for creating three-dimensional model by using laser point cloud scanning technology | |
| CN117367429B (en) | Remote sensing image-based working base map and unmanned aerial vehicle technology-based route image control point distribution algorithm | |
| CN110490972B (en) | Three-dimensional vector model system of southern soil map and generation method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20210604 |
|
| RJ01 | Rejection of invention patent application after publication |