CN109444878A - A kind of microwave 3-D data set construction method based on SAR image - Google Patents

A kind of microwave 3-D data set construction method based on SAR image Download PDF

Info

Publication number
CN109444878A
CN109444878A CN201811136557.2A CN201811136557A CN109444878A CN 109444878 A CN109444878 A CN 109444878A CN 201811136557 A CN201811136557 A CN 201811136557A CN 109444878 A CN109444878 A CN 109444878A
Authority
CN
China
Prior art keywords
image
dimensional
sar
data
data set
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
Application number
CN201811136557.2A
Other languages
Chinese (zh)
Inventor
彭凌霄
仇晓兰
丁赤飚
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.)
Suzhou Research Institute Institute Of Electronics Chinese Academy Of Sciences
Original Assignee
Suzhou Research Institute Institute Of Electronics Chinese Academy Of Sciences
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 Suzhou Research Institute Institute Of Electronics Chinese Academy Of Sciences filed Critical Suzhou Research Institute Institute Of Electronics Chinese Academy Of Sciences
Priority to CN201811136557.2A priority Critical patent/CN109444878A/en
Publication of CN109444878A publication Critical patent/CN109444878A/en
Pending legal-status Critical Current

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
    • G01S13/00Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
    • G01S13/88Radar or analogous systems specially adapted for specific applications
    • G01S13/89Radar or analogous systems specially adapted for specific applications for mapping or imaging
    • G01S13/90Radar or analogous systems specially adapted for specific applications for mapping or imaging using synthetic aperture techniques, e.g. synthetic aperture radar [SAR] techniques

Landscapes

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

Abstract

The present invention relates to a kind of microwave 3-D data set construction method based on SAR image, it is expanded in SAR three-dimensional applications field, data supporting is provided to develop the cognition of SAR target three-dimensional and application, also the foundation for subsequent SAR 3-D data set provides reference, and existing SAR data collection is all based on greatly on the basis of existing image data, slice of data is obtained after image segmentation, the present invention just at present generally speaking, the shortcomings that overcoming existing SAR truthful data more to lack, on the basis of real data, the method for being supplemented emulation data, data set can be supplemented, effectively increase the accuracy of data acquired collection.

Description

A kind of microwave 3-D data set construction method based on SAR image
Technical field
The present invention relates to a kind of microwave 3-D data set construction method based on SAR image, belongs to synthetic aperture radar skill Art field.
Background technique
Currently, artificial intelligence technology has penetrated into SAR object aware field, and data are to drive the master of Artificial Intelligence Development Want strength.Therefore, the building of SAR sample data set is to develop basis and the support of intelligent SAR image object aware, is reinforced The construction of SAR sample data set pushes the opening and shares and collaborative innovation of resource, can effectively promote China in this field Basic technology progress, the form of outstanding technological achievement and application are converted.
SAR data acquisition is more much higher than optical image acquisition in technical difficulty and funds demand side, therefore at present It is considerably less that international SAR target discloses sample set.Carrying out the most important data set of target identification at present is MSTAR.MSTAR is real Testing data is that the MSTAR that the projects such as U.S. national defense height administration (DARPA) supports polarizes the announced static mesh in the ground actual measurement SAR Data are marked, be directed to the research of SAR image target identification both at home and abroad at present, be unfolded on MSTAR data set.MSTAR figure As the X-band single polarization SAR image that resolution ratio is 0.3*0.3m, wherein mainly including three categories military target: BTR70 is (armoring Transport vehicle), BMP2 (infantry fighting vehicles) and T72 (tank), the also sectioning image comprising a small amount of some other military targets.In the country Extra large university of communications collects to handing over big Minxing area to carry out long-term multi-source data, constructs a high-resolution, multidate SAR Experimental data set based on image, wherein assisting 3 main portions by high resolution SAR data, earth's surface true value mark, multi-source data It is grouped as, wherein ground object target is divided into waters, four major class of open ground, trees and man-made target, [Yu Wenxian, Liu Bin high-resolution The building [J] of rate, multidate SAR image data set.Mapping section notification, 2014,32 (SO): 119-122] data set design mesh Be can be interpreted for High Resolution SAR Images, information inverting and target identification provide it is high believable, real-time, abundantly Table and target true value information can promote the progress of these researchs and related work.CAS Electronics Research Institute obtains The SAR image data largely acquired by No. GF-3 passes through the segmentation to SAR image data and obtains a large amount of ground object target slice Data (learn by Yang Jintao, Chou Xiaolan, the analysis of C-band SAR Terrain Scattering stability characteristic (quality) and extracting method [J], university, the Chinese Academy of Sciences Report), in order to efficiently be managed atural object target slice data, slice is labeled, is that SAR terrain classification and scattering are special Journal of Sex Research provides good data set basis.
However, current SAR data collection is to carry out image segmentation on the basis of SAR image, added with both two-dimensional image slices It is labeled as principal mode presentation, this kind of data set can be used as the applications such as SAR image terrain classification, SAR image target identification Training sample set.However, as SAR image increase resolution is even higher to sub-meter grade, the characteristics of SAR oblique distance is imaged and micro- The particularity of scattering of wave, so that being often difficult to understand for the key properties such as the structure of target from two-dimensional SAR image, this gives SAR mesh Mark interpretation and application bring difficulty.For this purpose, the technologies such as SAR image three-dimensional reconstruction and SAR three-dimensional imaging are concerned.At present The 3-D data set of SAR target is all at home and abroad blank, and this severely limits the researchs of SAR three-dimensional reconstruction, and then is limited The development of SAR target decomposition and information extraction technology is made.
The method for following the building of above-mentioned two-dimentional data set, a kind of direct method of building SAR 3-D data set be by SAR with three-dimensional imaging ability, such as array three-dimensional SAR ([J.Klare, A..R.Brener, A new airborne radar for 3D Imaging-Image formation Using the ARTINO Principle[C],6th Eurepean Conference on Synthetic Aperture Radar,EUSAR,Dresden,Germany,2016]、TomoSAR[XX Zhu、R Bamler,Very High Resolution Spaceborne SAR Tomography in Urban Environment[J],IEEE Transactions on Geoscience&Remote Sensing,2010,48(12): 4296-4308] etc., the two and three dimensions SAR image of target and scene is obtained, and establish data by the modes such as dividing, cutting Collection.However, the SAR equipment with three-dimensional imaging ability is very few in the world at present, and the technology of data acquisition, processing is difficult Spend very big, only only a few unit grasps the relevant technologies, therefore constructs data set and unrealistic in this way.
And the mode of another building SAR 3-D data set that can be infered is by emulation, however, current electromagnetism is imitative Really it is mainly used for the RCS of simulation objectives, emulation, which obtains high-resolution two-dimensional image, has had larger difficulty, and it is similar to there is emulation The problems such as not high is spent, and there is no using emulation the report for carrying out SAR 3-D data set building at present.
Summary of the invention
Technical problem to be solved by the invention is to provide a kind of using completely new approach design combination, can effectively improve three The microwave 3-D data set construction method based on SAR image of dimension data collection building efficiency and accuracy rate.
In order to solve the above-mentioned technical problem the present invention uses following technical scheme: the present invention devises a kind of based on SAR shadow The microwave 3-D data set construction method of picture includes the following steps: for realizing the building of object 3-D data set
The meta data file of step A. synthetic aperture radar two-dimensional observation image according to corresponding to object, combining target are first Sex knowledge is tested, is emulated for object, obtains object simulation result file, and generate object emulating image, then Enter step B;
Step B. for practical synthetic aperture radar two-dimensional observation image corresponding to object emulating image and object into Row registration obtains three-dimensional coordinate corresponding to each scattering point in synthetic aperture radar two-dimensional observation image corresponding to object, and By inverse projection mode, the three-dimensional information of object is obtained, i.e. acquisition object 3-D data set.
Further include step C as a preferred technical solution of the present invention, execute step B, obtains the three-dimensional letter of object After breath, it is as follows to enter step C:
Step C. realizes the storage of object three-dimensional information with preset data storage mode, and presses preset rules, completion pair The labeling and data number of data realize the building of object 3-D data set.
As a preferred technical solution of the present invention, the step A includes the following steps:
Step A1. extracts synthesis in the meta data file of synthetic aperture radar two-dimensional observation image as corresponding to object Aperture radar two-dimensional observation incidence angle, object azimuth, oblique distance to resolution ratio, azimuth resolution, transmitting signal center frequency Rate, transmitted bandwidth parameter, and the 3D model of object is obtained, subsequently into step A2;
Simulated program initial ray position is arranged according to synthetic aperture radar two-dimensional observation incidence angle in step A2.;
According to oblique distance to resolution ratio, azimuth resolution, the output image resolution ratio of simulated program is set;
According to object azimuth, object module angles and positions are set, subsequently into step A3;
Step A3. is based on simulated program initial ray position, the output image resolution ratio of simulated program, object module angle With position, the 3D model of object, transmitting signal center frequency, transmitted bandwidth parameter, and according to target priori sex knowledge, setting Object presets each parameter, then carries out object emulation, object simulation result file is obtained, subsequently into step A4;
Step A4. generates object emulating image according to object simulation result file.
As a preferred technical solution of the present invention, in the step A3, according to target priori sex knowledge, target is set Object presets each parameter, including object module specularity factor, object module diffusing reflection coefficient and object module roughness.
As a preferred technical solution of the present invention, in the step A3, object simulation result file includes target Orientation coordinate, oblique distance coordinate, elevation coordinate, scattering strength, scattering imaging, the mirror-reflection mark of each scattering point corresponding to model Will, scattering position coordinates x, scatter position coordinates y, scatter position coordinates z;
The step A4 includes the following:
Orientation coordinate, the oblique distance coordinate of step A4-1. each scattering point according to corresponding to object module, obtain each scattering point Orientation distance, oblique distance distance, subsequently into step A4-2;
Step A4-2. obtains each scattering point and corresponds to object emulation according to orientation distance, the oblique distance distance of each scattering point Coordinate in image, subsequently into step A4-3;
Step A4-3. corresponds to the coordinate in object emulating image according to each scattering point, strong in conjunction with elevation coordinate, scattering Degree, scattering imaging, mirror-reflection mark, scattering position coordinates x, scatter position coordinates y, scatter position coordinates z, generate object Emulating image.
As a preferred technical solution of the present invention, the step B includes the following steps:
Step B1. for practical synthetic aperture radar two-dimensional observation image corresponding to object emulating image and object into Row registration, it is subsequent to ignore the region that gray value in emulating image is zero when being handled, establish pair of scattering point between two images It should be related to;
The two-dimensional coordinate of scattering point, right in synthetic aperture radar two-dimensional observation image corresponding to step B2. combining target object Than object simulation result file, three-dimensional coordinate corresponding to each scattering point is determined, by synthetic aperture radar corresponding to object Scattering point inverse projection on two-dimensional observation image finally obtains the three-dimensional information of object, subsequently into step to three-dimensional space C。
As a preferred technical solution of the present invention, in the step C, using point cloud data storage mode, mesh is realized Mark the storage of object three-dimensional information, wherein using scene center as coordinate origin, by scattering point and image from left to right, on to Under correspondence ordinal relation, be stored in the form of three-dimensional coordinate in .mat matrix.
As a preferred technical solution of the present invention: real using three-dimensional modeling data storage mode in the step C The storage of existing object three-dimensional information, wherein according to SAR two dimensional image, determine the threedimensional model of target, deposited with .obj mode Storage.
A kind of microwave 3-D data set construction method based on SAR image of the present invention is using above technical scheme and now There is technology to compare, has following technical effect that
The designed microwave 3-D data set construction method based on SAR image of the invention, carries out in SAR three-dimensional applications field It expands, provides data supporting to develop the cognition of SAR target three-dimensional and application, also the foundation for subsequent SAR 3-D data set mentions For reference, and existing SAR data collection is all based on greatly on the basis of existing image data, and slice is obtained after image segmentation The shortcomings that data, the generally speaking present invention with regard to, overcoming existing SAR truthful data more to lack at present, use real data for base Standard, the method for being supplemented emulation data, can supplement data set, effectively increase the accuracy of data acquired collection.
Detailed description of the invention
Fig. 1 is the flow chart of microwave 3-D data set construction method of the present invention design based on SAR image;
Fig. 2 a is one SAR image original schematic diagram of Application Example of the present invention;
Fig. 2 b is the point cloud data figure of application drawing 2a of the present invention;
Fig. 3 a is two SAR image original schematic diagram of Application Example of the present invention;
Fig. 3 b is the three-dimensional model diagram of application drawing 3a of the present invention;
The SAR 3-D data set design example that Fig. 4 present invention applies.
Specific embodiment
Specific embodiments of the present invention will be described in further detail with reference to the accompanying drawings of the specification.
The invention proposes the synthetic aperture radar three-dimensional data set construction methods of a kind of combination emulation and real image, first It first proposes the emulation mode using ray tracing and the method for recording each scattering point three-dimensional position is obtained with three-dimensional information SAR emulates data, to construct 3-D data set;Also, on this basis, to solve the problems, such as that simulation conformity is not high enough, It proposes and establishes the scattering point in SAR real image and three by SAR target simulator inverse projection means in conjunction with practical SAR image The connection between position is tieed up, so that relatively reliable 3-D data set is constructed, so that the three-dimensional reconstruction for SAR image target is conciliate It translates identification and the support of data set construction method is provided.
The present invention devises a kind of microwave 3-D data set construction method based on SAR image, for realizing object three The building of dimension data collection, includes the following steps:
The meta data file of step A. synthetic aperture radar two-dimensional observation image according to corresponding to object, combining target are first Sex knowledge is tested, is emulated for object, obtains object simulation result file, and generate object emulating image, then Enter step B.
In above-mentioned steps A practical application, specifically comprise the following steps:
Step A1. extracts synthesis in the meta data file of synthetic aperture radar two-dimensional observation image as corresponding to object Aperture radar two-dimensional observation incidence angle, object azimuth, oblique distance to resolution ratio, azimuth resolution, transmitting signal center frequency Rate, transmitted bandwidth parameter, and the 3D model of object is obtained, subsequently into step A2.
Simulated program initial ray position is arranged according to synthetic aperture radar two-dimensional observation incidence angle in step A2.;
Meanwhile the output image resolution ratio of simulated program is arranged to resolution ratio, azimuth resolution according to oblique distance;
And according to object azimuth, object module angles and positions are set, subsequently into step A3.
Step A3. is based on simulated program initial ray position, the output image resolution ratio of simulated program, object module angle With position, the 3D model of object, transmitting signal center frequency, transmitted bandwidth parameter, and according to target priori sex knowledge, setting Object presets each parameter, including object module specularity factor, object module diffusing reflection coefficient and object module are coarse Then degree carries out object emulation, obtain object simulation result file, object simulation result file includes object module institute The orientation coordinate of corresponding each scattering point, elevation coordinate, scattering strength, scattering imaging, mirror-reflection mark, dissipates oblique distance coordinate Position coordinates x is penetrated, position coordinates y is scattered, scatters position coordinates z;Finally enter step A4.
Step A4. generates object emulating image according to object simulation result file.
In above-mentioned steps A4 practical application, specifically include as follows:
Orientation coordinate, the oblique distance coordinate of step A4-1. each scattering point according to corresponding to object module, obtain each scattering point Orientation distance, oblique distance distance, subsequently into step A4-2.
Step A4-2. obtains each scattering point and corresponds to object emulation according to orientation distance, the oblique distance distance of each scattering point Coordinate in image, subsequently into step A4-3;.
Here the acquisition that coordinate in object emulating image is corresponded to for each scattering point, is performed as follows:
Such as: it is scattering point oblique distance and orientation distance that Ra_g (k, 1) and Az (k, 1) is corresponding, r_min and a_ Min respectively corresponds minimum oblique distance and minimum orientation distance in emulation, and r_pix and a_pix respectively correspond the oblique distance of output image Resolution ratio and azimuth resolution, then it is as follows to correspond to coordinate in object emulating image for the scattering point:
Row_pix=floor (((Ra_g (k, 1)-r_min)/r_pix)+0.5)
Column_pix=floor (((Az (k, 1)-a_min)/a_pix)+0.5)
Wherein, row_pix is the abscissa that scattering point corresponds in emulating image, and column_pix corresponds to for scattering point Ordinate in emulating image.
Step A4-3. corresponds to the coordinate in object emulating image according to each scattering point, strong in conjunction with elevation coordinate, scattering Degree, scattering imaging, mirror-reflection mark, scattering position coordinates x, scatter position coordinates y, scatter position coordinates z, generate object Emulating image.
In step B practical application, following steps are specifically executed:
Step B1. for practical synthetic aperture radar two-dimensional observation image corresponding to object emulating image and object into Row registration, it is subsequent to ignore the region that gray value in emulating image is zero when being handled, establish pair of scattering point between two images It should be related to;
The two-dimensional coordinate of scattering point, right in synthetic aperture radar two-dimensional observation image corresponding to step B2. combining target object Than object simulation result file, three-dimensional coordinate corresponding to each scattering point is determined, by synthetic aperture radar corresponding to object Scattering point inverse projection on two-dimensional observation image finally obtains the three-dimensional information of object, subsequently into step to three-dimensional space C。
Step C. realizes the storage of object three-dimensional information with preset data storage mode, and presses preset rules, completion pair The labeling and data number of data realize the building of object 3-D data set.
For above-mentioned steps C, in practical application, two kinds of data storage methods can be respectively adopted, first, such as Fig. 2 a, figure Shown in 2b, using point cloud data storage mode, the storage of object three-dimensional information is realized, wherein using scene center as coordinate original Point, by scattering point in image from left to right, from the corresponding ordinal relation of upper top to bottm, be stored in the form of three-dimensional coordinate .mat in matrix;Second, as shown in Figure 3a, 3b, using three-dimensional modeling data storage mode, realizing object three-dimensional information Storage, wherein according to SAR two dimensional image, the threedimensional model of target is determined, with the storage of .obj mode.
The building of further object object 3-D data set in step C in practical application, is labeled 3-D data set When, first to data.When continuing classification to data, first the total classification of target is labeled, as shown in figure 4, such as building target, tank Target, Aircraft Targets, Ship Target etc..It is divided into several groups again in each major class, as built the residential building in target, non-residence People's building area is divided into BTR70/T72/BMP2 etc. in tank target, B52/ Boeing-747/B707 etc. is divided into Aircraft Targets, It is divided into A Libaike/USS Nimitz etc. in Ship Target.In each group, be numbered by sample order of addition, i.e. 1,2, 3……。
Microwave 3-D data set construction method based on SAR image designed by above-mentioned technical proposal is led in SAR three-dimensional applications Domain is expanded, and is provided data supporting to develop the cognition of SAR target three-dimensional and application, is also subsequent SAR 3-D data set It establishes and reference is provided, and existing SAR data collection is all based on greatly on the basis of existing image data, is obtained after image segmentation Take slice of data, the present invention just at present generally speaking, the shortcomings that overcoming existing SAR truthful data more to lack, using actual number On the basis of, the method for being supplemented emulation data can supplement data set, effectively increase the accurate of data acquired collection Property.
Embodiments of the present invention are explained in detail above in conjunction with attached drawing, but the present invention is not limited to above-mentioned implementations Mode within the knowledge of a person skilled in the art can also be without departing from the purpose of the present invention It makes a variety of changes.

Claims (8)

1. a kind of microwave 3-D data set construction method based on SAR image, for realizing the building of object 3-D data set, It is characterized by comprising the following steps:
The meta data file of step A. synthetic aperture radar two-dimensional observation image according to corresponding to object, combining target priori Sex knowledge is emulated for object, is obtained object simulation result file, and is generated object emulating image, then into Enter step B;
Step B. is matched for object emulating image with practical synthetic aperture radar two-dimensional observation image corresponding to object Standard obtains three-dimensional coordinate corresponding to each scattering point in synthetic aperture radar two-dimensional observation image corresponding to object, and passes through Inverse projection mode obtains the three-dimensional information of object, i.e. acquisition object 3-D data set.
2. a kind of microwave 3-D data set construction method based on SAR image according to claim 1, which is characterized in that also Including step C, step B is executed, after the three-dimensional information for obtaining object, it is as follows to enter step C:
Step C. realizes the storage of object three-dimensional information with preset data storage mode, and presses preset rules, completes logarithm According to labeling and data number, realize object 3-D data set building.
3. a kind of microwave 3-D data set construction method based on SAR image according to claim 2, which is characterized in that institute Step A is stated to include the following steps:
Step A1. extracts synthetic aperture in the meta data file of synthetic aperture radar two-dimensional observation image as corresponding to object Radar two-dimensional observation incidence angle, object azimuth, oblique distance to resolution ratio, azimuth resolution, transmitting signal center frequency, hair Bandwidth parameter is penetrated, and obtains the 3D model of object, subsequently into step A2;
Simulated program initial ray position is arranged according to synthetic aperture radar two-dimensional observation incidence angle in step A2.;
According to oblique distance to resolution ratio, azimuth resolution, the output image resolution ratio of simulated program is set;
According to object azimuth, object module angles and positions are set, subsequently into step A3;
Step A3. based on simulated program initial ray position, the output image resolution ratio of simulated program, object module angle and Position, the 3D model of object, transmitting signal center frequency, transmitted bandwidth parameter, and according to target priori sex knowledge, mesh is set Mark object presets each parameter, then carries out object emulation, object simulation result file is obtained, subsequently into step A4;
Step A4. generates object emulating image according to object simulation result file.
4. a kind of microwave 3-D data set construction method based on SAR image according to claim 3, which is characterized in that institute It states in step A3, according to target priori sex knowledge, object is set and presets each parameter, including object module specularity factor, Object module diffusing reflection coefficient and object module roughness.
5. according to a kind of microwave 3-D data set construction method based on SAR image of claim 3 or 4, which is characterized in that In the step A3, object simulation result file includes the orientation coordinate of each scattering point corresponding to object module, oblique distance seat Mark, elevation coordinate, scattering strength, scattering imaging, mirror-reflection mark, scattering position coordinates x, scatter position coordinates y, scatter position Set coordinate z;
The step A4 includes the following:
Orientation coordinate, the oblique distance coordinate of step A4-1. each scattering point according to corresponding to object module, obtain each scattering point Orientation distance, oblique distance distance, subsequently into step A4-2;
Step A4-2. obtains each scattering point and corresponds to object analogous diagram according to orientation distance, the oblique distance distance of each scattering point Coordinate as in, subsequently into step A4-3;
Step A4-3. corresponds to the coordinate in object emulating image according to each scattering point, in conjunction with elevation coordinate, scattering strength, dissipates Number, mirror-reflection mark, scattering position coordinates x are penetrated, position coordinates y is scattered, scatters position coordinates z, generates object emulation Image.
6. a kind of microwave 3-D data set construction method based on SAR image according to claim 5, which is characterized in that institute Step B is stated to include the following steps:
Step B1. is carried out for practical synthetic aperture radar two-dimensional observation image corresponding to object emulating image and object Registration, it is subsequent to ignore the region that gray value in emulating image is zero when being handled, establish the correspondence of scattering point between two images Relationship;
The two-dimensional coordinate of scattering point in synthetic aperture radar two-dimensional observation image corresponding to step B2. combining target object compares mesh Object simulation result file is marked, determines three-dimensional coordinate corresponding to each scattering point, by the two dimension of synthetic aperture radar corresponding to object Scattering point inverse projection on observed image finally obtains the three-dimensional information of object, subsequently into step C to three-dimensional space.
7. a kind of microwave 3-D data set construction method based on SAR image according to claim 2, which is characterized in that institute It states in step C, using point cloud data storage mode, realizes the storage of object three-dimensional information, wherein using scene center as coordinate Origin, by scattering point in image from left to right, from the corresponding ordinal relation of upper top to bottm, stored in the form of three-dimensional coordinate In .mat matrix.
8. a kind of microwave 3-D data set construction method based on SAR image according to claim 2, which is characterized in that institute It states in step C, using three-dimensional modeling data storage mode, realizes the storage of object three-dimensional information, wherein according to SAR two dimension Image determines the threedimensional model of target, with the storage of .obj mode.
CN201811136557.2A 2018-09-28 2018-09-28 A kind of microwave 3-D data set construction method based on SAR image Pending CN109444878A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201811136557.2A CN109444878A (en) 2018-09-28 2018-09-28 A kind of microwave 3-D data set construction method based on SAR image

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201811136557.2A CN109444878A (en) 2018-09-28 2018-09-28 A kind of microwave 3-D data set construction method based on SAR image

Publications (1)

Publication Number Publication Date
CN109444878A true CN109444878A (en) 2019-03-08

Family

ID=65545546

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201811136557.2A Pending CN109444878A (en) 2018-09-28 2018-09-28 A kind of microwave 3-D data set construction method based on SAR image

Country Status (1)

Country Link
CN (1) CN109444878A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110058211A (en) * 2019-03-21 2019-07-26 北京申信达成科技有限公司 A kind of acquisition methods and device of vehicle-mounted LiDAR measuring system calibration initial value

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1940594A (en) * 2005-09-30 2007-04-04 中国科学院电子学研究所 Reconstruction for three-dimensional non-sided view on-board interfere synthetic bore radar
CN101551856A (en) * 2009-05-22 2009-10-07 西安电子科技大学 SAR target recognition method based on sparse least squares support vector machine
CN102254192A (en) * 2011-07-13 2011-11-23 北京交通大学 Method and system for semi-automatic marking of three-dimensional (3D) model based on fuzzy K-nearest neighbor
CN103176171A (en) * 2013-02-06 2013-06-26 中国科学院电子学研究所 Simulation method of interferometric SAR (synthetic aperture radar) distributed targets
CN104698442A (en) * 2013-12-06 2015-06-10 中国科学院电子学研究所 Airborne down-looking array three-dimensional synthetic aperture radar distribution type three-dimensional scene simulation method
CN104750854A (en) * 2015-04-16 2015-07-01 武汉海达数云技术有限公司 Mass three-dimensional laser point cloud compression storage and rapid loading and displaying method
US20150253423A1 (en) * 2014-03-10 2015-09-10 Mitsubishi Electric Research Laboratories, Inc. System and Method for 3D SAR Imaging using Compressive Sensing with Multi-Platform, Multi-Baseline and Multi-PRF Data
CN107392996A (en) * 2017-07-11 2017-11-24 中国科学院电子学研究所苏州研究院 A kind of SAR target properties based on virtual reality technology characterize and display methods

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1940594A (en) * 2005-09-30 2007-04-04 中国科学院电子学研究所 Reconstruction for three-dimensional non-sided view on-board interfere synthetic bore radar
CN101551856A (en) * 2009-05-22 2009-10-07 西安电子科技大学 SAR target recognition method based on sparse least squares support vector machine
CN102254192A (en) * 2011-07-13 2011-11-23 北京交通大学 Method and system for semi-automatic marking of three-dimensional (3D) model based on fuzzy K-nearest neighbor
CN103176171A (en) * 2013-02-06 2013-06-26 中国科学院电子学研究所 Simulation method of interferometric SAR (synthetic aperture radar) distributed targets
CN104698442A (en) * 2013-12-06 2015-06-10 中国科学院电子学研究所 Airborne down-looking array three-dimensional synthetic aperture radar distribution type three-dimensional scene simulation method
US20150253423A1 (en) * 2014-03-10 2015-09-10 Mitsubishi Electric Research Laboratories, Inc. System and Method for 3D SAR Imaging using Compressive Sensing with Multi-Platform, Multi-Baseline and Multi-PRF Data
CN104750854A (en) * 2015-04-16 2015-07-01 武汉海达数云技术有限公司 Mass three-dimensional laser point cloud compression storage and rapid loading and displaying method
CN107392996A (en) * 2017-07-11 2017-11-24 中国科学院电子学研究所苏州研究院 A kind of SAR target properties based on virtual reality technology characterize and display methods

Non-Patent Citations (6)

* Cited by examiner, † Cited by third party
Title
J.KLARE等: "A new airborne radar for 3D Imaging-Image formation Using the ARTINO Principle", 《6TH EUREPEAN CONFERENCE ON SYNTHETIC APERTURE RADAR,EUSAR,DRESDEN,GERMANY,2016》 *
XX ZHU等: "Very High Resolution Spaceborne SAR Tomography in Urban Environment", 《IEEE TRANSACTIONS ON GEOSCIENCE& REMOTE SENSING》 *
Y. ZHANG等: "Feature Modeling of SAR Images for Aircrafts Based on Typical Structures", 《2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VALENCIA, 2018》 *
何峰等: "曲线合成孔径雷达三维成像研究进展与展望", 《雷达学报》 *
张月婷等: "高分辨率SAR图像桥梁目标仿真与特性分析", 《雷达学报》 *
郁文贤等: "高分辨率、多时相SAR图像数据集的构建", 《测绘科通报》 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110058211A (en) * 2019-03-21 2019-07-26 北京申信达成科技有限公司 A kind of acquisition methods and device of vehicle-mounted LiDAR measuring system calibration initial value
CN110058211B (en) * 2019-03-21 2021-10-26 北京申信达成科技有限公司 Method and device for acquiring calibration initial value of vehicle-mounted LiDAR measurement system

Similar Documents

Publication Publication Date Title
CN106772365B (en) A kind of multipath based on Bayes's compressed sensing utilizes through-wall radar imaging method
CN107340518B (en) A kind of ISAR radar imaging method under signal deletion
Xu et al. Imaging simulation of polarimetric SAR for a comprehensive terrain scene using the mapping and projection algorithm
CN103983972B (en) The sparse formation method of a kind of Fast Compression sensing D S AR
CN106680812A (en) Microwave correlated imaging simulation method based on analysis surface element
CN110109101A (en) A kind of compressed sensing three-dimensional S AR imaging method based on adaptive threshold
CN108646247A (en) Inverse synthetic aperture radar imaging method based on Gamma process linear regression
Makineci et al. Evaluation digital elevation model generated by synthetic aperture radar data
CN109188384A (en) The Electromagnetic Simulation method of extraterrestrial target echo dynamic observation
Ahmadibeni et al. Aerial and ground vehicles synthetic SAR dataset generation for automatic target recognition
CN110596706B (en) Radar scattering sectional area extrapolation method based on three-dimensional image domain projection transformation
Jones et al. Marine vehicles simulated SAR imagery datasets generation
CN109444878A (en) A kind of microwave 3-D data set construction method based on SAR image
WO2001055742A2 (en) Projection of multi-sensor ray based data histories onto planar grids
CN103076608A (en) Contour-enhanced beaming-type synthetic aperture radar imaging method
Dai et al. Scattering simulation and reconstruction of a 3-D complex target using downward-looking step-frequency radar
Jones et al. Physics-based simulated SAR imagery generation of vehicles for deep learning applications
CN110082763A (en) Depth of building inversion method and device based on GIS and SAR
CN107392996B (en) SAR target characteristic representation and display method based on virtual reality technology
CN110276240A (en) A kind of SAR image building wall window information extracting method
CN109959933A (en) A kind of compressed sensing based more baseline circular track synthetic aperture radar image-forming methods
Fang et al. Three-dimensional near-field microwave imaging approach based on compressed sensing
Liu et al. SAR simulation for large scenes by ray tracing technique based on GPU
Feng et al. Multiview ISAR imaging for complex targets based on improved SBR scattering model
Schiavone et al. Interoperability issues for terrain databases in distributed interactive simulation

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: 20190308