CN109883398A - The system and method that the green amount of plant based on unmanned plane oblique photograph is extracted - Google Patents
The system and method that the green amount of plant based on unmanned plane oblique photograph is extracted Download PDFInfo
- Publication number
- CN109883398A CN109883398A CN201910173585.XA CN201910173585A CN109883398A CN 109883398 A CN109883398 A CN 109883398A CN 201910173585 A CN201910173585 A CN 201910173585A CN 109883398 A CN109883398 A CN 109883398A
- Authority
- CN
- China
- Prior art keywords
- unmanned plane
- plant
- oblique photograph
- green amount
- extracted
- 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
Abstract
The invention discloses the system and methods that the green amount of plant based on unmanned plane oblique photograph is extracted, this method is obtained based on the mode that unmanned plane oblique photograph measures and surveys area's image, it is greatly improved compared to ground artificial measurement method working efficiency, compared to laser radar apparatus measurement method, equipment cost is low, using can more extensively;The present invention carries out inverting to unmanned plane aeroplane photography image and generates las point cloud threedimensional model, carries out green amount calculating based on plant three-dimensional modeling, can effectively solve the problem that and carries out the problem of can not calculating plant clear bole height when plant three-dimensional green amount calculates with laser.
Description
Technical field
The present invention relates to afforestation field of measuring technique, and the green amount of the plant specifically based on unmanned plane oblique photograph is extracted
System and method.
Background technique
In recent years, the new technology continued to bring out is greatly promoted the development of agricultural, forestry and gardens informationization, especially
It is the development of unmanned plane oblique photograph remote sensing platform, greatly improves the acquisition of information means of forestry and gardens investigation, but plant
The measurement of strain greening amount, ground biomass is always to obtain by artificial and laser radar method, ground artificial measurement
Working efficiency is low.
Laser radar is an active optics sensor, it sends out when moving along specific measuring route to a target
Penetrate laser beam.Receiver in laser radar sensor can be detected and analyzed to from the reflected laser of target.These
Receiver will record precise time of the laser pulse from system of leaving to return system, be calculated between sensor and target with this
Distance.It is practical three-dimensional that these distance measures can be converted to together reflectance target in object space with location information (GPS and INS)
The measured value of point.But lidar measurement is at high cost, and is carried out that plant can not be calculated when plant three-dimensional green amount calculates with laser
Clear bole height degree.
Summary of the invention
The purpose of the present invention is to provide the system and methods that the green amount of plant based on unmanned plane oblique photograph is extracted, with solution
Certainly the problems mentioned above in the background art.
To achieve the above object, the invention provides the following technical scheme:
The system that the green amount of plant based on unmanned plane oblique photograph is extracted, comprising: unmanned plane, positioning device, communication device, control
System and calculation processing unit, the positioning device access Beidou satellite alignment system, and the longitude and latitude for obtaining unmanned plane is sat
Mark information, the communication device be used for unmanned plane wireless telecommunications, and receive unmanned plane transmission ground remote sensing image;The control
System processed is used to receive the data set of communication device transmission, and data set is sent in calculation processing unit and carries out analysis meter
It calculates, and unmanned aerial vehicle flight path is controlled simultaneously;The calculation processing unit is used to the coordinate unification of remote sensing image be 2000
National geodetic coordinates system, and use PHOTOMOD software or other aerophotogrammetry softwares carry out sky three, adjustment, just penetrating with
And light and color homogenization processing, correct geometry deformation.
As a further solution of the present invention: five camera lens of carry is taken photo by plane equipment on the unmanned plane.
The method extracted based on unmanned plane oblique photograph las point cloud plant three-dimensional green amount, comprising the following steps:
1, aerial survey of unmanned aerial vehicle: setting unmanned plane parameter, taking photo by plane to equip using five camera lenses carries out oblique photograph, obtains oblique photograph shadow
Picture;
2, control point measures: dividing the survey area of multiple polygons on ground, is obtained using Beidou high-accuracy position system and survey area four
The coordinate of 6-8 point of a angle point and center, as control point and checkpoint;
3, the unmanned plane location information of corresponding unmanned plane image, including unmanned plane latitude and longitude coordinates and height data processing: are exported
Journey handles unmanned plane image, and sky three, adjustment precision are adjusted to 1 pixel or so;
4, las colour point clouds file inverting: inverting generates las colour point clouds;
5, las colour point clouds file three-dimensional modeling: modeling generates threedimensional model;
6, the three-dimensional green amount of plant is calculated automatically with spatial analysis tool at Panaroma or Arcgis.
As a further solution of the present invention: in step 1, unmanned plane parameter includes at least and sets drone flying height
To be set as 10m/s away from ground 30-70m, flying speed, five camera lenses being taken photo by plane to equipment and ground angle is set as 65-75 °, claps
Frequency is taken the photograph to be set as 2s/ times.
Compared with prior art, the beneficial effects of the present invention are:
1, it is obtained the present invention is based on the mode of unmanned plane oblique photograph measurement and surveys area's image, worked compared to ground artificial measurement method
Efficiency greatly improves, compare laser radar apparatus measurement method, equipment cost is low, using can more extensively;
2, the present invention carries out inverting to unmanned plane aeroplane photography image and generates las point cloud threedimensional model, is based on plant three-dimensional modeling
Green amount calculating is carried out, can effectively solve the problem that and carried out that asking for plant clear bole height can not be calculated when plant three-dimensional green amount calculates with laser
Topic.
Detailed description of the invention
Fig. 1 is the functional block diagram for the system that the green amount of plant based on unmanned plane oblique photograph las point cloud file is extracted.
Fig. 2 is the flow chart for the method extracted based on the green amount of unmanned plane oblique photograph las plant.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
Please refer to Fig. 1~2, in the embodiment of the present invention, the system that the green amount of plant based on unmanned plane oblique photograph is extracted, packet
Include: unmanned plane 1, positioning device 2, communication device 3, control system 4 and calculation processing unit 5, the positioning device 2 access Beidou
Global position system, for obtaining the latitude and longitude coordinates information of unmanned plane 1, the communication device 3 is used for and 1 channel radio of unmanned plane
News, and receive the ground remote sensing image of the transmission of unmanned plane 1;The control system 4 is used to receive the data of the transmission of communication device 3
Collection, and data set is sent in calculation processing unit 5 and carries out analytical calculation, and 1 track of unmanned plane is controlled simultaneously;Institute
Calculation processing unit 5 is stated for being 2000 national geodetic coordinates systems by the coordinate unification of remote sensing image, and uses PHOTOMOD
Software or other aerophotogrammetry softwares carries out sky three, adjustment, is just penetrating and light and color homogenization processing, corrects geometry deformation.
The method that plant three-dimensional green amount based on unmanned plane oblique photograph is extracted, comprising the following steps:
1, aerial survey of unmanned aerial vehicle: five camera lens of carry is taken photo by plane equipment on unmanned plane, sets unmanned plane parameter, including unmanned plane during flying
Highly (away from ground 30-70m), flying speed (calm 10m/s), five camera lenses take photo by plane equipment and ground angle (about 70 °), shooting frequency
Rate (2s/ times) etc., taking photo by plane to equip using five camera lenses carries out oblique photograph, obtains oblique photograph image;
2, control point measures: dividing the survey area of multiple polygons on ground, is obtained using Beidou high-accuracy position system and survey area four
The coordinate of 6-8 point of a angle point and center, as control point and checkpoint;
3, the unmanned plane location information of corresponding unmanned plane image, including unmanned plane latitude and longitude coordinates and height data processing: are exported
Journey handles unmanned plane image with PHOTOMOD or other aerophotogrammetry processing softwares, by empty three adjustment precision tune
It is whole to 1 pixel or so;
4, las colour point clouds file inverting: las colour point clouds file is generated with the softwares inverting such as PHOTOMOD;
5, las colour point clouds file three-dimensional modeling: with the automatic modelings tool such as PHOTOMOD, threedimensional model is generated;
6, the three-dimensional green amount of plant is calculated automatically with spatial analysis tool at Panaroma or Arcgis.
It is obvious to a person skilled in the art that invention is not limited to the details of the above exemplary embodiments, Er Qie
In the case where without departing substantially from spirit or essential attributes of the invention, the present invention can be realized in other specific forms.Therefore, no matter
From the point of view of which point, the present embodiments are to be considered as illustrative and not restrictive, and the scope of the present invention is by appended power
Benefit requires rather than above description limits, it is intended that all by what is fallen within the meaning and scope of the equivalent elements of the claims
Variation is included within the present invention.Any reference signs in the claims should not be construed as limiting the involved claims.
In addition, it should be understood that although this specification is described in terms of embodiments, but not each embodiment is only wrapped
Containing an independent technical solution, this description of the specification is merely for the sake of clarity, and those skilled in the art should
It considers the specification as a whole, the technical solutions in the various embodiments may also be suitably combined, forms those skilled in the art
The other embodiments being understood that.
Claims (4)
1. the system that the green amount of plant based on unmanned plane oblique photograph is extracted, comprising: unmanned plane, positioning device, communication device, control
System processed and calculation processing unit, it is characterised in that: the positioning device accesses Beidou satellite alignment system, for obtaining nobody
The latitude and longitude coordinates information of machine, the communication device be used for unmanned plane wireless telecommunications, and receive unmanned plane transmission ground it is distant
Feel image;The control system is used to receive the data set of communication device transmission, and data set is sent to calculation processing unit
Middle carry out analytical calculation, and unmanned aerial vehicle flight path is controlled simultaneously;The calculation processing unit is used for the seat of remote sensing image
Mark is unified for 2000 national geodetic coordinates systems, and carries out sky using PHOTOMOD software or other aerophotogrammetry softwares
Three, adjustment, just penetrating and light and color homogenization processing, correct geometry deformation.
2. the system that the green amount of the plant according to claim 1 based on unmanned plane oblique photograph is extracted, it is characterised in that: institute
Five camera lens of carry on unmanned plane is stated to take photo by plane equipment.
3. the method that the plant three-dimensional green amount based on unmanned plane oblique photograph is extracted, it is characterised in that: the following steps are included:
(1), aerial survey of unmanned aerial vehicle: setting unmanned plane parameter, taking photo by plane to equip using five camera lenses carries out oblique photograph, obtains oblique photograph
Image;
(2), control point measures: dividing the survey area of multiple polygons on ground, is obtained using Beidou high-accuracy position system and survey area
The coordinate of 6-8 point of four angle points and center, as control point and checkpoint;
(3), data processing: exporting the unmanned plane location information of corresponding unmanned plane image, including unmanned plane latitude and longitude coordinates and
Elevation handles unmanned plane image, and sky three, adjustment precision are adjusted to 1 pixel;
(4), las colour point clouds file inverting: inverting generates las colour point clouds;
(5), las colour point clouds file three-dimensional modeling: modeling generates threedimensional model;
(6), the three-dimensional green amount of plant is calculated automatically with spatial analysis tool at Panaroma or Arcgis.
4. the method that the plant three-dimensional green amount according to claim 3 based on unmanned plane oblique photograph is extracted, feature exist
In: in step (1), unmanned plane parameter is included at least to be set as setting away from ground 30-70m, flying speed by drone flying height
It is set to 10m/s, five camera lenses is taken photo by plane to equipment and ground angle is set as 65-75 °, filming frequency is set as 2s/ times.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910173585.XA CN109883398A (en) | 2019-03-07 | 2019-03-07 | The system and method that the green amount of plant based on unmanned plane oblique photograph is extracted |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910173585.XA CN109883398A (en) | 2019-03-07 | 2019-03-07 | The system and method that the green amount of plant based on unmanned plane oblique photograph is extracted |
Publications (1)
Publication Number | Publication Date |
---|---|
CN109883398A true CN109883398A (en) | 2019-06-14 |
Family
ID=66931378
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201910173585.XA Pending CN109883398A (en) | 2019-03-07 | 2019-03-07 | The system and method that the green amount of plant based on unmanned plane oblique photograph is extracted |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN109883398A (en) |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110276757A (en) * | 2019-06-25 | 2019-09-24 | 北京林业大学 | One kind carrying out high canopy density artificial forest region single tree biomass draughtsmanship based on tilted photograph |
CN111928824A (en) * | 2020-08-07 | 2020-11-13 | 贵州正业工程技术投资有限公司 | Engineering investigation method combining laser radar and oblique photography |
CN112256703A (en) * | 2020-10-23 | 2021-01-22 | 重庆同汇勘测规划有限公司 | ArcGIS-based method for rapidly outputting point cloud precision report |
CN112734168A (en) * | 2020-12-22 | 2021-04-30 | 国网浙江省电力有限公司温州供电公司 | Unmanned aerial vehicle-based overhead transmission line channel inspection system and hidden danger analysis method |
WO2022048541A1 (en) * | 2020-09-03 | 2022-03-10 | 深圳市道通智能航空技术股份有限公司 | Binocular vision-based environment sensing method and apparatus, and unmanned aerial vehicle |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104637370A (en) * | 2014-12-23 | 2015-05-20 | 河南城建学院 | Photogrammetry and remote sensing comprehensive teaching method and system |
CN104634322A (en) * | 2015-02-06 | 2015-05-20 | 北京林业大学 | Forest fixed sample area unmanned plane oblique photograph technical method |
CN104880177A (en) * | 2015-06-23 | 2015-09-02 | 赵国梁 | Multi-angle unmanned aerial survey system |
CN105987684A (en) * | 2015-12-18 | 2016-10-05 | 中国科学院合肥物质科学研究院 | Monocular vision-based agricultural vehicle navigation line detection system and method |
CN107356230A (en) * | 2017-07-12 | 2017-11-17 | 深圳市武测空间信息有限公司 | A kind of digital mapping method and system based on outdoor scene threedimensional model |
CN109427091A (en) * | 2018-03-21 | 2019-03-05 | 新疆林业科学院现代林业研究所 | A kind of Biomass Models based on high-spectrum remote-sensing and photogrammetric technology grind construction method |
-
2019
- 2019-03-07 CN CN201910173585.XA patent/CN109883398A/en active Pending
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104637370A (en) * | 2014-12-23 | 2015-05-20 | 河南城建学院 | Photogrammetry and remote sensing comprehensive teaching method and system |
CN104634322A (en) * | 2015-02-06 | 2015-05-20 | 北京林业大学 | Forest fixed sample area unmanned plane oblique photograph technical method |
CN104880177A (en) * | 2015-06-23 | 2015-09-02 | 赵国梁 | Multi-angle unmanned aerial survey system |
CN105987684A (en) * | 2015-12-18 | 2016-10-05 | 中国科学院合肥物质科学研究院 | Monocular vision-based agricultural vehicle navigation line detection system and method |
CN107356230A (en) * | 2017-07-12 | 2017-11-17 | 深圳市武测空间信息有限公司 | A kind of digital mapping method and system based on outdoor scene threedimensional model |
CN109427091A (en) * | 2018-03-21 | 2019-03-05 | 新疆林业科学院现代林业研究所 | A kind of Biomass Models based on high-spectrum remote-sensing and photogrammetric technology grind construction method |
Non-Patent Citations (2)
Title |
---|
刘本宁等: "倾斜摄影测量技术在三维建模中的应用", 《城市勘测》 * |
李德仁等: "集成倾斜航空摄影测量和地面移动测量技术的城市环境监测", 《武汉大学学报·信息科学版》 * |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110276757A (en) * | 2019-06-25 | 2019-09-24 | 北京林业大学 | One kind carrying out high canopy density artificial forest region single tree biomass draughtsmanship based on tilted photograph |
CN111928824A (en) * | 2020-08-07 | 2020-11-13 | 贵州正业工程技术投资有限公司 | Engineering investigation method combining laser radar and oblique photography |
WO2022048541A1 (en) * | 2020-09-03 | 2022-03-10 | 深圳市道通智能航空技术股份有限公司 | Binocular vision-based environment sensing method and apparatus, and unmanned aerial vehicle |
CN112256703A (en) * | 2020-10-23 | 2021-01-22 | 重庆同汇勘测规划有限公司 | ArcGIS-based method for rapidly outputting point cloud precision report |
CN112734168A (en) * | 2020-12-22 | 2021-04-30 | 国网浙江省电力有限公司温州供电公司 | Unmanned aerial vehicle-based overhead transmission line channel inspection system and hidden danger analysis method |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN109883398A (en) | The system and method that the green amount of plant based on unmanned plane oblique photograph is extracted | |
CN109358650B (en) | Routing inspection path planning method and device, unmanned aerial vehicle and computer readable storage medium | |
CN106403904B (en) | A kind of calculation method and system of the landscape scale vegetation coverage based on unmanned plane | |
CN109596118B (en) | Method and equipment for acquiring spatial position information of target object | |
KR101793509B1 (en) | Remote observation method and system by calculating automatic route of unmanned aerial vehicle for monitoring crops | |
EP2923173B1 (en) | Integrated aerial photogrammetry surveys | |
Madawalagama et al. | Low cost aerial mapping with consumer-grade drones | |
KR20200064542A (en) | Apparatus for measuring ground control point using unmanned aerial vehicle and method thereof | |
Raczynski | Accuracy analysis of products obtained from UAV-borne photogrammetry influenced by various flight parameters | |
CN110910502A (en) | Unmanned aerial vehicle three-dimensional modeling system | |
CN106969721A (en) | A kind of method for three-dimensional measurement and its measurement apparatus | |
CN109948484A (en) | The system and method for plant height is extracted based on unmanned plane image DSM | |
CN113012292A (en) | AR remote construction monitoring method and system based on unmanned aerial vehicle aerial photography | |
CN111189433A (en) | Karst peak forest landform parameter measuring method based on unmanned aerial vehicle aerial photography | |
CN112991440B (en) | Positioning method and device for vehicle, storage medium and electronic device | |
CN113643254A (en) | Efficient collection and processing method for laser point cloud of unmanned aerial vehicle | |
Kurkov et al. | DEM accuracy research based on unmanned aerial survey data | |
Dinkov et al. | Advantages, disadvantages and applicability of GNSS post-processing kinematic (PPK) method for direct georeferencing of UAV images | |
CN115588144A (en) | Real-time attitude capturing method, device and equipment based on Gaussian dynamic threshold screening | |
CN113920186B (en) | Low-altitude unmanned-machine multi-source fusion positioning method | |
Roca et al. | Novel aerial 3D mapping system based on UAV platforms and 2D laser scanners | |
US20190383616A1 (en) | Terrestrial observation device having location determination functionality | |
CN110823187A (en) | Control method and device for measuring area to be measured based on aerial photography | |
CN113340272A (en) | Ground target real-time positioning method based on micro-group of unmanned aerial vehicle | |
Ali et al. | The impact of UAV flight planning parameters on topographic mapping quality control |
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 | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190614 |