CN110058241A - Shearing wave method for weather radar image diametral interference Echo cancellation - Google Patents
Shearing wave method for weather radar image diametral interference Echo cancellation Download PDFInfo
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- CN110058241A CN110058241A CN201910280806.3A CN201910280806A CN110058241A CN 110058241 A CN110058241 A CN 110058241A CN 201910280806 A CN201910280806 A CN 201910280806A CN 110058241 A CN110058241 A CN 110058241A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO 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
- G01S13/00—Systems 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
- G01S13/88—Radar or analogous systems specially adapted for specific applications
- G01S13/95—Radar or analogous systems specially adapted for specific applications for meteorological use
- G01S13/958—Theoretical aspects
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO 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
- G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
- G01S7/02—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
- G01S7/023—Interference mitigation, e.g. reducing or avoiding non-intentional interference with other HF-transmitters, base station transmitters for mobile communication or other radar systems, e.g. using electro-magnetic interference [EMI] reduction techniques
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO 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
- G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
- G01S7/02—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
- G01S7/41—Details 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
- G01S7/418—Theoretical aspects
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- 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
Abstract
The invention belongs to optical detections and optical information processing technical field, to propose weather radar image diametral interference method for echo cancellation.Thus, the technical solution adopted by the present invention is that, shearing wave method for weather radar image diametral interference Echo cancellation, diametral interference echo in weather radar image is identified, identity matrix is obtained, and then obtains mark image, carries out shearing wave method iterative processing respectively by tri- channels RGB, it is integrated again, to eliminate the diametral interference echo in weather radar image.Present invention is mainly applied to optical detections and optical information processing occasion.
Description
Technical field
The invention belongs to optical detections and optical information processing technical field, are related to a kind of radially dry for weather radar image
Disturb the shearing wave method of Echo cancellation processing.
Background technique
Forecast can be monitored and made to weather condition using radar, instructs people's more reasonable arrangement work plan,
Facilitate traffic trip, it is often more important that early warning can be played the role of to natural calamity, reduced economic loss (see document [1]).
From radar echo map, rainfall range, rainfall intensity and future trend etc. intuitively very can be gone out (see text by color identifying
Offer [2]).But in the data acquisition process of radar echo map, it will receive the influence of installation electromagnetical interference and generate noise (see text
Offer [3])；In addition, not only comprising weather echos such as raindrop, ice crystal, cloud layers in radar echo map, but also there are also earth's surface buildings, height
The non-meteorologicals echoes such as mountain, aircraft, flying bird insect (see document [4]).In order to improve the accuracy of weather forecast, reduce erroneous judgement,
Noise reduction process is carried out to radar echo map, non-meteorological echo is identified and removed etc. work be very important (see
Document [5]).Electromagnetic interference echo in radar echo map usually has diametral interference echo, helical form interference echo and point shape
Interference echo etc. (see document [6]).It is many due to causing electromagnetic interference, or even interfere source unknown, electromagnetic interference is returned
It is extremely complex problem that the identification of wave, which filters out, and there is presently no fairly perfect methods to be able to solve (see document [7]).Shearing
Wave conversion is a kind of multi-scale geometric analysis method proposed recently, by scaling, translation and the shearing to basic function, by image
Multiple dimensioned and multi-direction analysis is carried out, there is the performance of best approximation to the singularity of curve, shears wave conversion in image procossing
In obtained it is more and more application and research (see document [8]).Herein for the shearing wave method of diametral interference Echo cancellation
It is studied.
Bibliography:
[1]Berenguer M,Sempere-Torres D,Corral C,et al.A fuzzy logic
technique for identifying nonprecipitating echoes in radar scans[J].Journal
of Atmospheric and Oceanic Technology,2006,23(9):1157-1180.
[2]Villarini G,Krajewski W F.Review of the different sources of
uncertainty in single polarization radar-based estimates of rainfall[J]
.Surveys in Geophysics,2010,31(1):107-129.
[3]Lee H,Park J C,Kim J G,et al.Line-shaped non-precipitation echo
detection using fuzzy inference system[C].IFSA World Congress and NAFIPS
Annual Meeting(IFSA/NAFIPS),2013Joint.IEEE,2013:1074-1079.
[4]Zhou J,Gao Y.A study on removal of radial interference echo with
weather radar[C].Multimedia Technology(ICMT),2010International Conference
on.IEEE,2010:1-5.
[5]Bae J S,Song C S,Oh S K.Design of meteorological radar echo
classifier based on RBFNN using radial velocity[J].Journal of Korean
Institute of Intelligent Systems,2015,25(3):242-247.
[6]Lee H,Kim E K,Jang E,et al.Interval type-2fuzzy k-nearest
neighbors for line-shaped echo identification[C].Fuzzy Theory and Its
Applications(iFuzzy),2016International Conference on.IEEE,2016:1-6.
[7]Zhou F,Xing M,Bai X,et al.Narrow-band interference suppression for
SAR based oncomplex empirical mode decomposition[J].IEEE Geoscience and
Remote Sensing Letters,2009,6(3):423-427。
[8]Labate D,Mantovani L,Negi P.Shearlet smoothness spaces[J].Journal
of Fourier Analysis and Applications,2013,19(3):577-611。
Summary of the invention
In order to overcome the deficiencies of the prior art, the present invention is directed to propose weather radar image diametral interference method for echo cancellation.
For this reason, the technical scheme adopted by the present invention is that the shearing wave method for weather radar image diametral interference Echo cancellation, to day
Diametral interference echo in gas radar image is identified, and obtains identity matrix, and then obtains mark image, passes through RGB tri-
Channel carries out shearing wave method iterative processing respectively, then is integrated, so that the diametral interference eliminated in weather radar image is returned
Wave.
Specific step is as follows:
Step 1: one width of input contains the weather radar image f of diametral interference echo；
Step 2: the diametral interference echo in mark image f obtains identity matrix M；
Step 3: identity matrix M being acted on into image f to be processed, according to formula fm=f*M is calculated, and mark figure is obtained
As fm；
Step 4: the colored weather radar image after mark is divided into tri- channels RGB；
Step 5: the image in the channel R, the channel G and channel B is chosen respectively, using shearing wave method iteration；
Step 6: will tri- channel images integration of treated RGB respectively, output treated image.
Wherein step 2 identification procedure the following steps are included:
Step 2-1: one width of input contains the weather radar image f of diametral interference echo；
Step 2-2: a size and the equal sized identity matrix M of image f are defined, by the diametral interference echo in image
Portion identification is 0, the rest part in image is identified as 1, the concrete form of identity matrix M are as follows:
The wherein position of subscript i and j representative image pixel；
The iterative process of step 5 the following steps are included:
Step 5-1: the image f to be processed in the input channel RmR；
Step 5-2: iterative initial value: f is arranged in initialization and parameter0For original image f to be processedmR, initial cycle number
N=0；Parameter: threshold value thr, shearing series [sc (1), sc (2), sc (3), sc (4), sc (5)], the number of iterations N is set, wherein
Threshold value is for the processing of image cut wave conversion hard -threshold, and shearing series is for constructing shearing wave conversion, and the number of iterations is for determining
The number of image update；
Step 5-3: to image f0It carries out shearing wave conversion and obtains SH (f0), calculation formula are as follows:
SH(f0) (a, s, t)=< f0,ψa,s,t>,
Wherein ψa,s,tFor shearing wave, concrete form is
WhereinFor Scale Matrixes,To shear matrix；
Step 5-4: to SH (f0) hard -threshold processing is carried out, obtain G0；
Step 5-5: to G0Shearing wave inverse transformation is carried out, is obtained
Step 5-6: f is updatedmR=fn+1, repeat step 5-3 to step 5-5；
Step 5-7: stop iteration when n reaches the maximum number of iterations N of setting, export f at this timemR；
Step 5-8: the image f to be processed in the input channel GmG, repeat step 5-2 to step 5-7；
Step 5-9: the image f to be processed of channel B is inputtedmB, repeat step 5-2 to step 5-7.
The features of the present invention and beneficial effect are:
The present invention uses advanced shearing wave method, eliminates the diametral interference echo in weather radar image.It first looks for
Diametral interference echo in weather radar image out, is identified it to obtain identity matrix.Original is acted on by identity matrix
Beginning image obtains mark image.Then mark image is divided into tri- channels RGB.Respectively to the channel R, the channel G and channel B
Image is using shearing wave method SH (f0) (a, s, t)=< f0,ψa,s,t> iterative processing.It will treated tri- channel images of RGB
Integration finally obtains the weather radar image for eliminating diametral interference echo.The present invention can be widely used for other and contain spiral
The interference echo of the weather radar image of shape interference echo or point shape interference echo etc. is eliminated.
Detailed description of the invention:
Fig. 1 is the original image of single diametral interference echo.Wherein (a) and (b) is the single diameter in the reflectogram of relative clean
To interference echo, the interference radiating way of the two is different, and reflectivity is different；(c) and (d) is the single diametral interference echo with precipitation
The case where, but interference and precipitation relative separation, wherein interference (c) is more complete in radially performance, and it is (d) incomplete diameter
To interference；(e) the case where and (f) is the single diametral interference echo with precipitation, and interference echo and precipitation mixing are superimposed upon
Together, it is also most intractable one kind that the display for having seriously affected precipitation echo, which is most important in the control of radar return quality,
In (e) to be complete diametral interference be superimposed with precipitation, and be (f) incomplete diametral interference and be superimposed with precipitation.
Fig. 2 is the shearing wave method using this paper to diametral interference echo progress treated the image in Fig. 1.
Fig. 3 is original image of the multipath to interference echo.Wherein (a) is the presence of diametral interference in two directions, is (b) more
There are diametral interference on a direction, but Relatively centralized be divided into it is continuous but two groups, (c) be multipath to but interference length it is different, be (d)
Multipath is (e) multipath to fan-shaped interference is formed continuously to discontinuous on direction and imperfect, is (f) multipath to not exclusively connecting
It is continuous to form imperfect fan-shaped interference.
Fig. 4 is the shearing wave method using this paper to diametral interference echo progress treated the image in Fig. 3.
Fig. 5 is this paper institute's drawings in the shearing wave method flow diagram of weather radar image diametral interference Echo cancellation.
Specific embodiment
In order to overcome the deficiencies of the prior art, the present invention is intended to provide weather radar image diametral interference method for echo cancellation.
The technical solution adopted by the present invention is that using shearing wave transform method, to the diametral interference in the weather radar image after identification
Echo is eliminated, and steps are as follows:
Step 1: one width of input contains the weather radar image f of diametral interference echo；
Step 2: the diametral interference echo in mark image f obtains identity matrix M,
Step 3: identity matrix M being acted on into image f to be processed, according to formula fm=f*M is calculated, and mark figure is obtained
As fm；
Step 4: the colored weather radar image after mark is divided into tri- channels RGB；
Step 5: the image in the channel R, the channel G and channel B is chosen respectively, using shearing wave method iteration；
Step 6: will tri- channel images integration of treated RGB respectively, output treated image.
Wherein step 2 identification procedure the following steps are included:
Step 2-1: one width of input contains the weather radar image f of diametral interference echo；
Step 2-2: a size and the equal sized identity matrix M of image f are defined, by the diametral interference echo in image
Portion identification is 0, and the rest part in image is identified as 1.The concrete form of identity matrix M are as follows:
The wherein position of subscript i and j representative image pixel.
The iterative process of step 5 the following steps are included:
Step 5-1: the image f to be processed in the input channel RmR；
Step 5-2: initialization and parameter.Iterative initial value: f is set0For original image f to be processedmR, initial cycle number
N=0；Parameter: threshold value thr, shearing series [sc (1), sc (2), sc (3), sc (4), sc (5)], the number of iterations N is set.Wherein,
Threshold value is for the processing of image cut wave conversion hard -threshold, and shearing series is for constructing shearing wave conversion, and the number of iterations is for determining
The number of image update.
Step 5-3: to image f0It carries out shearing wave conversion and obtains SH (f0), calculation formula are as follows:
SH(f0) (a, s, t)=< f0,ψa,s,t>,
Wherein ψa,s,tFor shearing wave, concrete form is
WhereinFor Scale Matrixes,To shear matrix；
Step 5-4: to SH (f0) hard -threshold processing is carried out, obtain G0；
Step 5-5: to G0Shearing wave inverse transformation is carried out, is obtained
Step 5-6: f is updatedmR=fn+1, repeat step 5-3 to step 5-5；
Step 5-7: stop iteration when n reaches the maximum number of iterations N of setting, export f at this timemR；
Step 5-8: the image f to be processed in the input channel GmG, repeat step 5-2 to step 5-7；
Step 5-9: the image f to be processed of channel B is inputtedmB, repeat step 5-2 to step 5-7.
There are many electromagnetic interference echo Producing reason in Weather Radar figure, or even interference source is unknown, interferes back
The identification and elimination of wave are extremely complex problems, and there is presently no fairly perfect methods to be able to solve, and are challenging
The problem of.The present invention provides the elimination that shearing wave method is used for weather radar image diametral interference echo.To weather radar image
In diametral interference echo be identified, obtain identity matrix, so obtain mark image, by tri- channels RGB respectively into
Row shearing wave method iterative processing, then integrated, to eliminate the diametral interference echo in weather radar image.
The present invention is the diametral interference echo eliminated in weather radar image using shearing wave method, including the following steps:
Step 1: one width of input contains the weather radar image f of diametral interference echo；
Step 2: the diametral interference echo in mark image f obtains identity matrix M,
Step 3: identity matrix M being acted on into image f to be processed, according to formula fm=f*M is calculated, and mark figure is obtained
As fm；
Step 4: the colored weather radar image after mark is divided into tri- channels RGB；
Step 5: the image in the channel R, the channel G and channel B is chosen respectively, using shearing wave method iteration；
Step 6: will tri- channel images integration of treated RGB respectively, output treated image.
Wherein step 2 identification procedure the following steps are included:
Step 2-1: one width of input contains the weather radar image f of diametral interference echo；
Step 2-2: a size and the equal sized identity matrix M of image f are defined, by the diametral interference echo in image
Portion identification is 0, and the rest part in image is identified as 1.The concrete form of identity matrix M are as follows:
The wherein position of subscript i and j representative image pixel.
The iterative process of step 5 the following steps are included:
Step 5-1: the image f to be processed in the input channel RmR；
Step 5-2: initialization and parameter.Iterative initial value: f is set0For original image f to be processedmR, initial cycle number
N=0；Parameter: threshold value thr, shearing series [sc (1), sc (2), sc (3), sc (4), sc (5)], the number of iterations N is set.Wherein,
Threshold value is for the processing of image cut wave conversion hard -threshold, and shearing series is for constructing shearing wave conversion, and the number of iterations is for determining
The number of image update.
Step 5-3: to image f0It carries out shearing wave conversion and obtains SH (f0), calculation formula are as follows:
SH(f0) (a, s, t)=< f0,ψa,s,t>,
Wherein ψa,s,tFor shearing wave, concrete form is
WhereinFor Scale Matrixes,To shear matrix；
Step 5-4: to SH (f0) hard -threshold processing is carried out, obtain G0；
Step 5-5: to G0Shearing wave inverse transformation is carried out, is obtained
Step 5-6: f is updatedmR=fn+1, repeat step 5-3 to step 5-5；
Step 5-7: stop iteration when n reaches the maximum number of iterations N of setting, export f at this timemR；
Step 5-8: the image f to be processed in the input channel GmG, repeat step 5-2 to step 5-7；
Step 5-9: the image f to be processed of channel B is inputtedmB, repeat step 5-2 to step 5-7.
The present invention is described in further detail With reference to embodiment.
In weather radar image, the influence of installation electromagnetical interference will receive.Electromagnetic interference echo in radar echo map is logical
Often there are diametral interference echo, helical form interference echo and point shape interference echo etc..It is many due to causing electromagnetic interference,
Even interference source is unknown, and it is extremely complex and insoluble problem that the identification of electromagnetic interference echo, which filters out,.Shearing wave becomes
Changing is a kind of multi-scale geometric analysis method that can be used for image procossing proposed recently, passes through the scaling to basic function, translation
And shearing, image is subjected to multiple dimensioned and multi-direction analysis, there is the performance of best approximation to the singularity of curve, shearing wave becomes
It changes research in image procossing and application is increasingly extensive.The present invention is using shearing wave method to the radial direction in weather radar image
Interference echo is eliminated.
Steps are as follows for the method for the present invention,
The weather radar image that a width contains diametral interference echo is represented with f, identifies the diametral interference echo in image
Part is identified it, obtains identity matrix M.Identity matrix M is defined as a size and the equal sized mark of image f
Diametral interference echo portion in image is identified as 0, the rest part in image is identified as 1 by matrix.Identity matrix M's
Concrete form are as follows:
The wherein position of subscript i and j representative image pixel.
Identity matrix M is acted on into image f to be processed, obtains mark image fm, corresponding calculation formula are as follows:
fm=f*M
By the colored weather radar image f after markmIt is divided into tri- channel image f of RGBmR、fmGAnd fmB
Respectively to fmR、fmGAnd fmBCarry out shearing wave conversion, calculation formula are as follows:
SH(f0) (a, s, t)=< f0,ψa,s,t>,
Wherein ψa,s,tFor shearing wave, concrete form is
WhereinFor Scale Matrixes,To shear matrix；
Hard -threshold processing is carried out after shearing wave conversion, then carries out shearing wave inverse transformation, the f that obtains that treatedmR、fmG
And fmB；
To image f after processingmR、fmGAnd fmBIt is integrated, thus the weather radar figure for the diametral interference echo that is eliminated
Picture.
Two groups of processing result figures are given below.
First group of original image (Fig. 1) and picture (Fig. 2) after treatment for single diametral interference echo.In Fig. 1,
(a) and (b) is single diametral interference echo in the reflectogram of relative clean, and the interference radiating way of the two is different, and reflectivity is different；
(c) the case where and (d) is the single diametral interference echo with precipitation, but interference and precipitation relative separation, wherein interference (c)
It is more complete in radially performance, and it is (d) incomplete diametral interference；(e) and (f) is that the single diametral interference with precipitation is returned
The case where wave, and interference echo and precipitation mixing are superimposed, and have seriously affected the display of precipitation echo, have been radar return matter
Most important in amount control is also most intractable one kind, is superimposed wherein being (e) complete diametral interference with precipitation, and is (f)
Incomplete diametral interference is superimposed with precipitation.Fig. 2 be using this paper shearing wave method to the diametral interference echo in Fig. 1 into
Row treated image.
Second group is original image (Fig. 3) from multipath to interference echo and picture (Fig. 4) after treatment.In Fig. 3, (a)
The presence of diametral interference in two directions, be (b) there is diametral interference in a plurality of directions, but Relatively centralized be divided into it is continuous but
Two groups, (c) be multipath to but interference length it is different, be (d) multipath to discontinuous on direction and imperfect, be (e) multipath to
It is formed continuously fan-shaped interference, is (f) that multipath is interfered to imperfect sector is not exclusively formed continuously.Fig. 4 is the shearing using this paper
Wave method carries out treated image to the diametral interference echo in Fig. 3.
Although above in conjunction with figure, invention has been described, and the invention is not limited to above-mentioned specific embodiment parties
Formula, the above mentioned embodiment is only schematical, rather than restrictive, and those skilled in the art are in this hair
Under bright enlightenment, without deviating from the spirit of the invention, many variations can also be made, these belong to guarantor of the invention
Within shield.
Claims (3)
1. a kind of shearing wave method for weather radar image diametral interference Echo cancellation, characterized in that weather radar figure
Diametral interference echo as in is identified, and obtains identity matrix, and then obtains mark image, passes through tri- channel difference of RGB
Shearing wave method iterative processing is carried out, then is integrated, to eliminate the diametral interference echo in weather radar image.
2. being used for the shearing wave method of weather radar image diametral interference Echo cancellation as described in claim 1, characterized in that
Specific step is as follows:
Step 1: one width of input contains the weather radar image f of diametral interference echo；
Step 2: the diametral interference echo in mark image f obtains identity matrix M；
Step 3: identity matrix M being acted on into image f to be processed, according to formula fm=f*M is calculated, and mark image f is obtainedm；
Step 4: the colored weather radar image after mark is divided into tri- channels RGB；
Step 5: the image in the channel R, the channel G and channel B is chosen respectively, using shearing wave method iteration；
Step 6: will tri- channel images integration of treated RGB respectively, output treated image.
3. being used for the shearing wave method of weather radar image diametral interference Echo cancellation as claimed in claim 2, characterized in that
Wherein step 2 identification procedure the following steps are included:
Step 2-1: one width of input contains the weather radar image f of diametral interference echo；
Step 2-2: a size and the equal sized identity matrix M of image f are defined, by the diametral interference echo portion in image
It is identified as 0, the rest part in image is identified as 1, the concrete form of identity matrix M are as follows:
The wherein position of subscript i and j representative image pixel；
The iterative process of step 5 the following steps are included:
Step 5-1: the image f to be processed in the input channel RmR；
Step 5-2: iterative initial value: f is arranged in initialization and parameter0For original image f to be processedmR, initial cycle frequency n=
0；Parameter: threshold value thr, shearing series [sc (1), sc (2), sc (3), sc (4), sc (5)], the number of iterations N, wherein threshold is set
Value is handled for image cut wave conversion hard -threshold, and shearing series is for constructing shearing wave conversion, and the number of iterations is for determining figure
As the number updated；
Step 5-3: to image f0It carries out shearing wave conversion and obtains SH (f0), calculation formula are as follows:
SH(f0) (a, s, t)=< f0,ψa,s,t>,
Wherein ψa,s,tFor shearing wave, concrete form is
WhereinFor Scale Matrixes,To shear matrix；
Step 5-4: to SH (f0) hard -threshold processing is carried out, obtain G0；
Step 5-5: to G0Shearing wave inverse transformation is carried out, is obtained
Step 5-6: f is updatedmR=fn+1, repeat step 5-3 to step 5-5；
Step 5-7: stop iteration when n reaches the maximum number of iterations N of setting, export f at this timemR；
Step 5-8: the image f to be processed in the input channel GmG, repeat step 5-2 to step 5-7；
Step 5-9: the image f to be processed of channel B is inputtedmB, repeat step 5-2 to step 5-7.
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101551456A (en) * | 2009-05-13 | 2009-10-07 | 西安电子科技大学 | Method for detecting water area margin of SAR image based on improved shearlet transformation |
| CN104217406A (en) * | 2014-09-23 | 2014-12-17 | 重庆大学 | SAR image noise reduction method based on shear wave coefficient processing |
| CN106530243A (en) * | 2016-10-25 | 2017-03-22 | 天津大学 | Synthetic aperture radar image speckle noise filtering method |
-
2019
- 2019-04-09 CN CN201910280806.3A patent/CN110058241A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101551456A (en) * | 2009-05-13 | 2009-10-07 | 西安电子科技大学 | Method for detecting water area margin of SAR image based on improved shearlet transformation |
| CN104217406A (en) * | 2014-09-23 | 2014-12-17 | 重庆大学 | SAR image noise reduction method based on shear wave coefficient processing |
| CN106530243A (en) * | 2016-10-25 | 2017-03-22 | 天津大学 | Synthetic aperture radar image speckle noise filtering method |
Non-Patent Citations (3)
| Title |
|---|
| 孙晨: "基于全变分和剪切波变换的图像去噪方法研究", 《中国优秀博硕士学位论文全文数据库（硕士） 信息科技辑》 * |
| 杜言霞 等: "天气雷达径向干扰回波去除方法的比较", 《干旱气象》 * |
| 王娅茹: "一种PCNN的彩色图像脉冲噪声滤除方法", 《计算机工程与应用》 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP4155773A1 (en) * | 2021-09-24 | 2023-03-29 | Korea Meteorological Administration | Apparatus and method for removing noise for weather radar |
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