CN109031233A - The method of quick obtaining radar complex reflectivity vector figure data - Google Patents

The method of quick obtaining radar complex reflectivity vector figure data Download PDF

Info

Publication number
CN109031233A
CN109031233A CN201810902227.3A CN201810902227A CN109031233A CN 109031233 A CN109031233 A CN 109031233A CN 201810902227 A CN201810902227 A CN 201810902227A CN 109031233 A CN109031233 A CN 109031233A
Authority
CN
China
Prior art keywords
data
radar
scan
line
reflectivity
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.)
Granted
Application number
CN201810902227.3A
Other languages
Chinese (zh)
Other versions
CN109031233B (en
Inventor
路明月
闵锦忠
王新昊
毛远翔
毕硕本
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Nanjing University of Information Science and Technology
Original Assignee
Nanjing University of Information Science and Technology
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Nanjing University of Information Science and Technology filed Critical Nanjing University of Information Science and Technology
Priority to CN201810902227.3A priority Critical patent/CN109031233B/en
Publication of CN109031233A publication Critical patent/CN109031233A/en
Application granted granted Critical
Publication of CN109031233B publication Critical patent/CN109031233B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S7/00Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
    • G01S7/02Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
    • G01S7/41Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00 using analysis of echo signal for target characterisation; Target signature; Target cross-section
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02ATECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A90/00Technologies having an indirect contribution to adaptation to climate change
    • Y02A90/10Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Radar Systems Or Details Thereof (AREA)

Abstract

The present invention provides a kind of method of quick obtaining radar complex reflectivity vector figure data, includes the following steps: the normalization of radar three-dimensional scan data;The building of radar complex reflectivity data point structure;The building of composite reflectivity graph data;The whole world that the present invention is conducive to Radar Products data is shared, provides effective decision support for the disaster reduction and prevention of meteorological disaster, has good society and economic effect;Its ability for being quickly obtained data simultaneously has good technical effect, can shorten relevant departments for the response time of disaster.

Description

The method of quick obtaining radar complex reflectivity vector figure data
Technical field:
The present invention relates to a kind of methods of quick obtaining radar complex reflectivity vector figure data.
Background technique:
The acquisition of conventional radar complex reflectivity data is that rule-based grid is sought at present, obtains the knot of similar pixel picture Fruit data.In the process, there is very big difference between the arranged of regular grid and radar scanning mode, it is therefore desirable to A large amount of interpolation calculation is carried out by the existing GPR Detection Data of each layer, to obtain each corresponding spy of the small grid of rule Measured data value finally obtains corresponding composite reflectivity data with this.On the one hand this method needs to consume a large amount of calculate and opens Pin, on the other hand can introduce redundant data to a certain extent, increase the data volume of product data, answer for the transmission etc. of data With bringing unnecessary obstruction.
Summary of the invention:
The present invention by normalization every layer of radar scan data, and then directly to radar detection to data point handle, Quadrilateral mesh is constructed, the radar complex reflectance map graphic data with vector characteristic is obtained with this.
The specific technical solution of the present invention is as follows:
A kind of method of quick obtaining radar complex reflectivity vector figure data, includes the following steps:
1) normalization of radar three-dimensional scan data;
2) building of radar complex reflectivity data point structure;
3) composite reflectivity graph data constructs;
Wherein,
1) each layer of radar three-dimensional scan data all the normalization of radar three-dimensional scan data: is normalized to have 360 The index bed of scan-line data;After normalization, each scanning slice of radar corresponds to the next corresponding on azimuthal scan-line data;
2) building of radar complex reflectivity data point structure:
First, some data point P that minimum elevations correspond to scanning slice is projected on ground and obtains corresponding point P0, at point P In i-th of position of the scanning slice j-th strip scan line, wherein j indicates the corresponding azimuthal angle of scan line, the value model of j Enclosing is 0≤j≤359 and j is integer, and i indicates that any one a data point, the value range of i are 1≤i in the scan line Data point number and i in≤the scan line are integer;
Second, in each layer of radar scanning data search and point P on same orientation angle sweep line with same position The data point of index is simultaneously compared, and assigns the reflectivity values of reflectivity values maximum point to point P;
Third repeats the first and second steps, corresponds to each data point in scanning slice to minimum elevations and carry out respective handling, obtain To radar complex reflectivity data point structure;
3) composite reflectivity graph data constructs: in above-mentioned radar complex reflectivity data point structure, sweeping to adjacent two The two o'clock for successively taking adjacent i-th, the position i+1 on line respectively is retouched, be sequentially connected as vertex and be built into one four at total 4 points Side shape dough sheet, and then construct all quad patch forms the quadrilateral mesh that adjoins each other to get to the radar scanning layer Composite reflectivity vector figure data;
The present invention, which further designs, to be:
In step 1, the original each layer of radar scanning data is all normalized to the index bed with 360 scan-line datas includes Following detailed process: in each scanning slice, centered on radar antenna position, with 0 degree of azimuth building, first scanning Line, each integer azimuth construct a scan line, and so on, it is 359 degree that the 360th article of scan line azimuth, which is located at, structure Build 360 scan lines;Data in each scan line are led to further according to each layer scan-line data of original radar reflectivity data 360 scan-line datas that interpolation calculation method is constructed are crossed, the normalized of radar three-dimensional scan data is thus completed.
The data point space interval on line of each scan-line data is 1 kilometer.
In step 3, to four vertex of obtained each quad patch, corresponding face is assigned respectively according to reflectivity data Color, then by the color on each four vertex of quad patch, the colouration with color gradient effect is drawn out by gradual manner Quadrilateral mesh.
Wherein gradual manner is the color interpolation function using computer graphics itself, obtains the quadrangle of color gradient Dough sheet.
The present invention has the following beneficial effects: compared with prior art
Interpolation calculation is carried out using regular grid in view of in the current conventional method for obtaining radar complex reflectivity, is had biggish Computing cost, while certain redundant data is introduced, the data volume of product is increased, is brought for the transmission application etc. of later data Obstacle.
The present invention by normalization every layer of radar scan data, and then directly to radar detection to data point at Reason is constructed irregular quadrilateral grid, the radar complex reflectance map graphic data with vector characteristic is obtained with this.Whole process Reduce and calculate data volume while also avoiding redundant data, improve the acquisition efficiency of composite reflectivity graph data, generates Radar complex reflectivity data there is vectorial property, can be applied in three-dimensional and network environment very well.
The whole world that the present invention is conducive to Radar Products data is shared, provides effective decision for the disaster reduction and prevention of meteorological disaster Support that there is good society and economic effect;Its ability for being quickly obtained data simultaneously has good technical effect, energy Enough shorten relevant departments for the response time of disaster.
Detailed description of the invention:
Fig. 1 is that radar complex reflectivity data obtains schematic diagram in embodiment one;
Fig. 2 is radar complex reflectance data point structure schematic diagram in embodiment one;
Fig. 3 is quad patch schematic diagram in embodiment one;
Fig. 4 is quadrilateral mesh schematic diagram in embodiment one;
Fig. 5 is the basic emissivity effect data figure of certain GPR Detection Data scanning slice in embodiment two.
Specific embodiment:
Embodiment one:
Now by taking the GPR Detection Data of somewhere as an example, a kind of method for introducing radar complex reflectivity vector figure data, tool Body step are as follows:
1. the normalization of radar three-dimensional scan data: from original radar three-dimensional scanning reflection rate data, obtaining each scanning slice Data, centered on radar antenna position, azimuth is j degree for building in each scanning slice taken, and the elevation angle is each scanning slice The corresponding elevation angle, data point number are the line number evidence of any one scan line legacy data number in each scanning slice, amount to 360 Scan-line data, wherein j indicates the corresponding azimuthal angle of scan line, and the value range of j is 0≤j≤359 and j is Integer.The new building 360 line numbers according to upper, the space interval of i-th of data point and i+1 data point is 1 kilometer, Middle i indicate in scan line apart from radar center which detection data point, the data point in the 1≤i≤scan line is a Number and i are integer;According to each layer scan-line data of original radar reflectivity data, interpolation calculation goes out each scanning slice azimuth and is I-th of data point reflectivity values in the scan line of j degree, then the normalization operation of radar three-dimensional scan data finishes, normalization Each scanning slice of radar corresponds to the next corresponding on the scan-line data of azimuth afterwards, as shown in Figure 1;
2. the building of radar complex reflectivity data point structure:
First, some data point P that minimum elevations correspond to scanning slice is projected on ground and obtains corresponding point P0, at point P In i-th of position of the scanning slice j-th strip scan line;
Second, in each layer of radar scanning data search and point P on same orientation angle sweep line with same position The data point of index is simultaneously compared, and assigns point P the reflectivity values of reflectivity values maximum point;
Third repeats the first and second steps, corresponds to each data point in scanning slice to minimum elevations and carry out respective handling, obtain To radar complex reflectivity data point structure, schematic diagram is as shown in Figure 2;
3. composite reflectivity graph data constructs: in above-mentioned radar complex reflectivity data point structure, adjacent two are scanned The two o'clock of adjacent i-th, the position i+1 is successively taken on line respectively, be sequentially connected as vertex and be built into four sides at total 4 points Shape dough sheet, the quad patch are irregular quadrilateral dough sheet, it is to be linked in sequence by four coordinate vertices and constructed not The quadrilateral surface of self intersection, as shown in Figure 3.And then the irregular quadrilateral dough sheet building of all consecutive points is completed, it is formed mutual Adjacent irregular quadrilateral grid, as shown in Figure 4 to get the composite reflectivity polar plot figurate number for arriving the radar scanning layer According to.
Embodiment two:
Irregular quadrilateral grid in combination this reflectivity vector figure data obtained for embodiment one, according to each four side The reflectivity data on four vertex of shape dough sheet point assigns corresponding color, forms the baseis reflectivity that can characterize different echo values Color image data.Fade effect can also be further assigned to quadrangle using the color interpolation function of computer graphics itself Color, obtain coloured irregular quadrilateral grid to get arrive the scanning slice radar complex reflectivity polar plot figurate number According to as shown in Figure 5.

Claims (5)

1. a kind of method of quick obtaining radar complex reflectivity vector figure data, which comprises the steps of:
1) normalization of radar three-dimensional scan data;
2) building of radar complex reflectivity data point structure;
3) composite reflectivity graph data constructs;
Wherein,
1) each layer of radar three-dimensional scan data all the normalization of radar three-dimensional scan data: is normalized to have 360 The index bed of scan-line data;After normalization, each scanning slice of radar corresponds to the next corresponding on azimuthal scan-line data;
2) building of radar complex reflectivity data point structure:
First, some data point P that minimum elevations correspond to scanning slice is projected on ground and obtains corresponding point P0, point P is in I-th of position of the scanning slice j-th strip scan line, wherein j indicates the corresponding azimuthal angle of scan line, the value range of j It is 0≤j≤359 and j is integer, i indicates any one a data point in the scan line, and the value range of i is 1≤i≤this sweeps It retouches the data point number on line and i is integer;
Second, in each layer of radar scanning data search and point P on same orientation angle sweep line with same position The data point of index is simultaneously compared, and assigns the reflectivity values of reflectivity values maximum point to point P;
Third repeats the first and second steps, corresponds to each data point in scanning slice to minimum elevations and carry out respective handling, obtain To radar complex reflectivity data point structure;
3) composite reflectivity graph data constructs: in above-mentioned radar complex reflectivity data point structure, sweeping to adjacent two The two o'clock for successively taking adjacent i-th, the position i+1 on line respectively is retouched, be sequentially connected as vertex and be built into one four at total 4 points Side shape dough sheet, and then construct all quad patch forms the quadrilateral mesh that adjoins each other to get to the radar scanning layer Composite reflectivity vector figure data.
2. the method for quick obtaining radar complex reflectivity vector figure data according to claim 1, it is characterised in that: In step 1, it includes as follows that the original each layer of radar scanning data is all normalized to the index bed with 360 scan-line datas Detailed process: in each scanning slice, centered on radar antenna position, with the 0 degree of building in azimuth, first scan line, often One integer azimuth constructs a scan line, and so on, it is 359 degree that the 360th article of scan line azimuth, which is located at, building 360 Scan line;Data in each scan line pass through interpolation further according to each layer scan-line data of original radar reflectivity data Thus 360 scan-line datas that calculating method is constructed complete the normalized of radar three-dimensional scan data.
3. the method for quick obtaining radar complex reflectivity vector figure data according to claim 2, it is characterised in that: The data point space interval on line of each scan-line data is 1 kilometer.
4. the method for quick obtaining radar complex reflectivity vector figure data according to claim 1, it is characterised in that: In step 3, to four vertex of obtained each quad patch, corresponding color is assigned respectively according to reflectivity data.
5. the method for quick obtaining radar complex reflectivity vector figure data according to claim 4, it is characterised in that: Gradual manner colouration further is used to quad patch.
CN201810902227.3A 2018-08-09 2018-08-09 Method for rapidly acquiring radar combination reflectivity vector graphic data Active CN109031233B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201810902227.3A CN109031233B (en) 2018-08-09 2018-08-09 Method for rapidly acquiring radar combination reflectivity vector graphic data

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201810902227.3A CN109031233B (en) 2018-08-09 2018-08-09 Method for rapidly acquiring radar combination reflectivity vector graphic data

Publications (2)

Publication Number Publication Date
CN109031233A true CN109031233A (en) 2018-12-18
CN109031233B CN109031233B (en) 2023-02-28

Family

ID=64633387

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201810902227.3A Active CN109031233B (en) 2018-08-09 2018-08-09 Method for rapidly acquiring radar combination reflectivity vector graphic data

Country Status (1)

Country Link
CN (1) CN109031233B (en)

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CA2234359A1 (en) * 1998-06-08 1999-12-08 Denis Barker An easily deployable, expendable or recoverable floating radar reflective device
CN101683274A (en) * 2008-09-25 2010-03-31 深圳迈瑞生物医疗电子股份有限公司 Deflection convex array digital scanning conversion and convex array special compound method and imaging system
CN104597449A (en) * 2015-02-11 2015-05-06 南京航空航天大学 Method for reconstructing vertical profiles of airborne multi-scan meteorological radar targets
CN106772380A (en) * 2017-03-31 2017-05-31 电子科技大学 A kind of circumferential synthetic aperture radar imaging method
CN108169751A (en) * 2017-11-14 2018-06-15 广州中南民航空管技术装备工程有限公司 A kind of weather radar base datum 3 d grid method, computer readable storage medium and electronic equipment

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CA2234359A1 (en) * 1998-06-08 1999-12-08 Denis Barker An easily deployable, expendable or recoverable floating radar reflective device
CN101683274A (en) * 2008-09-25 2010-03-31 深圳迈瑞生物医疗电子股份有限公司 Deflection convex array digital scanning conversion and convex array special compound method and imaging system
CN104597449A (en) * 2015-02-11 2015-05-06 南京航空航天大学 Method for reconstructing vertical profiles of airborne multi-scan meteorological radar targets
CN106772380A (en) * 2017-03-31 2017-05-31 电子科技大学 A kind of circumferential synthetic aperture radar imaging method
CN108169751A (en) * 2017-11-14 2018-06-15 广州中南民航空管技术装备工程有限公司 A kind of weather radar base datum 3 d grid method, computer readable storage medium and electronic equipment

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
朱黎明等: "基于地学研究的CINRAD/CB雷达回波显示与提取", 《解放军理工大学学报(自然科学版)》 *
王轩等: "雷达数据的多维可视化", 《图学学报》 *

Also Published As

Publication number Publication date
CN109031233B (en) 2023-02-28

Similar Documents

Publication Publication Date Title
CN106127771B (en) Tunnel orthography system and method is obtained based on laser radar LIDAR point cloud datas
CN102855658B (en) Three-dimensional reconstruction method based on meteorological radar base data
CN106461775A (en) Partitioning for radar systems
CN104167011B (en) Micro-structure surface global lighting drawing method based on direction light radiation intensity
CN109872389A (en) A kind of remote sensing geology construction decomposition method based on three-dimensional terrain model
CN109874146A (en) A kind of method and device for predicting path loss
CN106570823A (en) Planar feature matching-based point cloud crude splicing method
CN109031234A (en) The method of quick obtaining radar reflectivity data three-dimensional contour surface
CN108169751A (en) A kind of weather radar base datum 3 d grid method, computer readable storage medium and electronic equipment
CN109031235A (en) The method of quick obtaining radar baseis reflectivity three-dimensional isopleth data
CN108009978A (en) A kind of non-parallel triangle rasterization cellular construction of obstruction
CN110244259A (en) The two-dimentional angle estimation method of tensor filling is minimized in the case of shortage of data based on low n- order
CN103645463B (en) The method of synthetic aperture radar image-forming data three-dimensional display
CN106127818A (en) A kind of material appearance based on single image obtains system and method
CN109033543A (en) A kind of heterogeneous area's vegetation fraction estimation method, device and equipment of earth's surface
CN102254347B (en) Three-dimensional visualization method for electromagnetic environment body data
EP3220355A1 (en) Image processing apparatus, image processing method, and image processing program
CN102878985B (en) Water surface wave scale monitoring method based on image texture features
CN114387531A (en) Ground surface temperature downscaling method based on improved geographic weighted regression model
Kaushik et al. Accelerated patch-based planar clustering of noisy range images in indoor environments for robot mapping
CN108241148B (en) A method of utilizing remote sensing images attributes extraction port resources information
CN109031233A (en) The method of quick obtaining radar complex reflectivity vector figure data
CN110009745A (en) According to plane primitive and model-driven to the method for data reduction plane
CN109031237A (en) The method of quick obtaining radar complex reflectivity isopleth data
CN109359264A (en) A kind of chlorophyll product NO emissions reduction method and device based on MODIS

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
CB03 Change of inventor or designer information

Inventor after: Zhang Yadong

Inventor after: Lu Mingyue

Inventor after: Min Jinzhong

Inventor after: Wang Xinhao

Inventor after: Mao Yuanxiang

Inventor after: Bi Shuoben

Inventor before: Lu Mingyue

Inventor before: Min Jinzhong

Inventor before: Wang Xinhao

Inventor before: Mao Yuanxiang

Inventor before: Bi Shuoben

CB03 Change of inventor or designer information
GR01 Patent grant
GR01 Patent grant