CN107886473A - From the method for FY 3MWRI data inversion Sea Ice Model closenesses - Google Patents
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Abstract
The present invention relates to a kind of method from the MWRI data inversion Sea Ice Model closenesses of FY 3, step includes：The MWRI level one datas of FY 3 are obtained, data are carried out with radiant correction, data splicing, land mask process；Choose marine site and determine pure water, pure ice value, be fitted ice concentration, determine the expression formula of ice concentration, ice concentration result is finally given by filtering process twice；The present invention's can be by the domestic MWRI data applications of FY 3 into ASI algorithms, inverting research is carried out to Sea Ice Model closeness, laid a good foundation using the domestic MWRI data inversion Sea Ice Model closenesses of FY 3, research for arctic navigation channel provides technical guarantee and data are supported, improves the efficient application of domestic satellite remote sensing date.
Description
Technical field
The invention belongs to satellite remote sensing technology field, more particularly to one kind are close from FY-3MWRI data inversion Sea Ice Models
The method of intensity.
Background technology
FY-3MWRI (satellite of wind and cloud 3) is the polar orbiting meteorological satellite of new generation of China's independent research.With China in recent years
The rapid development of aerospace industry, the remote sensing satellite of China's transmitting is more and more, wherein than more typical such as wind and cloud series, high score
Series, environment series etc..But just at present, have one it is very prominent the drawbacks of be exactly existing these satellite datas in China profit
It is very insufficient.Trace it to its cause and be, it is also more ripe although the inversion algorithm at present on ice concentration is a lot,
Due to being had differences between satellite data, so original algorithm is each to need to redefine in the new data of utilization
The value of coefficient, and the value of each mooring points value, domestic satellite remote sensing date can not be applied efficiently.
The content of the invention
Present invention aims to overcome that the deficiencies in the prior art and provide a kind of from FY-3MWRI data inversions north
The method of pole ice concentration.
The object of the present invention is achieved like this：A kind of method from FY-3MWRI data inversion Sea Ice Model closenesses,
It is characterized in that：Comprise the following steps：
Step 1), obtain FY-3MWRI level one datas.
Step 2), the FY-3MWRI level one datas to acquisition pre-process；It is divided into radiant correction, data splicing, land
Mask；
Radiant correction：Using radiant correction formula L=Gain*DN+Bias, wherein L is the bright temperature value after radiant correction,
Gain and Bias is radiant correction parameter, and DN is pixel value in the level one data that FY-3MWRI is provided, and is carried according to FY-3MWRI
The data set of confession understands Gain=-0.01, Bias=0；It is public that the FY-3MWRI level one datas of acquisition are substituted into radiant correction
The data after correction are acquired in formula；
Data are spliced：The FY-3MWRI data of acquisition are single track imaging, image mosaic are carried out using ENVI softwares, by FY-
Longitude and latitude file in 3MWRI data sets is imported into ENVI, and data are carried out by building the GLT files with coordinate system
Splicing；
Land mask：Land mask is handled by the band math in ENVI softwares；
Step 3), two marine sites are chosen, choose the selection of the data progress sample point of 1 year, calculate two regions respectively
Polarization difference, carry out probability distribution statistical, choose the numerical value that daily maximum probability occurs, as the polarization difference value on the same day,
Then the average value of annual polarization difference value is taken；Determine the mooring points value of pure water and pure ice；P is designated as respectively0(pure water), P1It is (pure
Ice), P=T89V-T89H, wherein T89V be 89GHz frequency ranges vertical polarization, T89H be 89GHz frequency ranges horizontal polarization, P
Polarization for all kinds of pixels is poor；
Step 4), the P by acquisition0、P1Value, with interpolation calculation, the parameter of ASI ice concentration inversion formulas is determined,
ASI ice concentration inversion algorithms are specific as follows：
P=Tbv-Tbh (1)
Wherein, TbvIt is the bright temperature of vertical polarization, TbhIt is the bright temperature of horizontal polarization；
Select ice concentration of the three rank multinomials fitting from 0% to 100% as follows：
C=d3p3+d2p2+d1p+d0 (2)
Step 5), the P by acquisition0、P1Value is updated in formula (2), then again to formula (2) derivation, the polarization difference of ice face
Significantly less than the polarization difference of water, polarization difference P difference P during ice concentration C convergences 0 and 10And P1, draw and be used for
The quaternary once linear equation group of solution formula (2) coefficient, is shown in formula (3), and d is calculated using formula (3)0、d1、d2、d3
By d0、d1、d2、d3It is brought into formula (2) and draws ice concentration C.
Finally determination ice concentration C expression formula is：
C=6.45714 × 10-6P3-6.05256×10-4P2-9.22521×10-3P+1.10031 (4)
P is obtained by step 4)0、P1Value, and then obtain ice concentration formula provided by the invention：
C=1.29 × 10-5P3-1.28×10-3P2+1.01×10-2P+1.02 (5)
Ice concentration result based on the line number evidences of FY-3MWRI mono- is finally inversed by by formula (5)；
Step 6), the method based on image entropy, it is determined that the weather filter threshold value based on FY-3MWRI data；Pass through
MATLAB majorized function fmin-search draws the threshold values of weather filter；Sea ice is finally given by filtering process twice
Closeness result.
The present invention's can be carried out anti-by domestic FY-3MWRI data applications into ASI algorithms to Sea Ice Model closeness
Drill research.But it can be varied from because ASI algorithms are directed to different data core parameters, so the present invention, which passes through, chooses typical case
The sample point in marine site, it is determined that the mooring points value of pure water and pure ice, and then the calculation formula of ice concentration is determined.And because
Often influenceed more seriously by weather using high-frequency data, so needing weather filter to be handled, because weather filters
The threshold value of device can also change with the change of data, so the method for the invention based on image entropy, it is determined that based on FY-3MWRI
The weather filter threshold value of data.The present invention is to have established base using domestic FY-3MWRI data inversions Sea Ice Model closeness
Plinth, the research of propulsion and arctic navigation channel for China polar region strategy provides technical guarantee and data are supported.Improve domestic
The efficient application of satellite remote sensing date.
Brief description of the drawings
Fig. 1 is FY-3MWRI Arctic Ocean ice concentration results on January 3rd, 2016.
Fig. 2 is SSM/I Arctic Ocean ice concentration results on January 3rd, 2016.
Embodiment
Embodiment 1, a kind of method from FY-3MWRI data inversion Sea Ice Model closenesses, it is characterised in that：Including with
Lower step：
Step 1), FY-3MWRI level one datas are obtained, FY-3MWRI TMI Major Systems parameters are as shown in table 1.
The FY-3MWRI TMI Major Systems parameters of table 1
Step 2), the FY-3MWRI level one datas to acquisition pre-process；It is divided into radiant correction, data splicing, land
Mask；
Radiant correction：The data that FY-3MWRI is provided are level one data, and data value is DN values, are anticipated without specific physics
Justice, therefore in inverting ice concentration, it is necessary to which the DN values of data to be changed into bright temperature value (with actual physical meaning
Thing reflectivity), using radiant correction formula L=Gain*DN+Bias, wherein L is the bright temperature value after radiant correction, Gain and
Bias is radiant correction parameter, and DN is pixel value in the level one data that FY-3MWRI is provided, according to the science of FY-3MWRI offers
Data set understands Gain=-0.01, Bias=0；The FY-3MWRI level one datas of acquisition are substituted into radiant correction formula and obtained
Data after to correction；
Data are spliced：The FY-3MWRI data of acquisition are single track imaging, if so wanting to carry out research needs to Arctic
Some width images are spliced, image mosaic are carried out using ENVI softwares, by the longitude and latitude file in FY-3MWRI data sets
It imported into ENVI, the splicing of data is carried out by building the GLT files with coordinate system；
Land mask：Because winter part land area has snow cover, in order to avoid this factor is intensive to sea ice
The identification of degree is impacted, and land mask is handled by the band math in ENVI softwares；
Step 3), two marine sites are chosen, i.e.,：To the north of Canadian archipelago for many years ice formation domain, on the south the sea ice edge of GRENLOND
Region, the selection of the data progress sample point of 1 year is chosen, the polarization difference in two regions is calculated respectively, carries out probability distribution
Statistics, the numerical value that daily maximum probability occurs is chosen, as the polarization difference value on the same day, then takes annual polarization difference value
Average value；Determine the mooring points value of pure water and pure ice；P is designated as respectively0(pure water), P1(pure ice), wherein P=T89V-T89H, T89V
For the vertical polarization of 89GHz frequency ranges, T89H is the horizontal polarization of 89GHz frequency ranges, and P is that the polarization of all kinds of pixels is poor；It is final to determine
P0=47.6K, P1=10.8K.
Step 5), the P by acquisition0=47.6K, P1=10.8K values, with interpolation calculation, determine that ASI ice concentrations are anti-
The parameter of formula is drilled, ASI ice concentration inversion algorithms are specific as follows：
P=Tbv-Tbh (1)
Wherein, TbvIt is the bright temperature of vertical polarization, TbhIt is the bright temperature of horizontal polarization；
Select ice concentration of the three rank multinomials fitting from 0% to 100% as follows：
C=d3p3+d2p2+d1p+d0 (2)
Step 6), the P by acquisition0=47.6K, P1=10.8K values are updated in formula (2), then again to formula (2) derivation,
The polarization difference of ice face significantly less than water polarization difference ice concentration C convergence 0 and 1 when polarization difference P difference P0
And P1, the quaternary once linear equation group for solving formula (2) coefficient is drawn, formula (3) is seen, d is calculated using formula (3)0、
d1、 d2、d3
By d0、d1、d2、d3It is brought into formula (2) and draws ice concentration C.
Finally determination ice concentration C expression formula is：
C=6.45714 × 10-6P3-6.05256×10-4P2-9.22521×10-3P+1.10031 (4)
P is obtained by step 3)0=47.6K, P1=10.8K values, and then it is public to obtain ice concentration provided by the invention
Formula：
C=1.29 × 10-5P3-1.28×10-3P2+1.01×10-2P+1.02 (5)
Ice concentration result based on the line number evidences of FY-3MWRI mono- is finally inversed by by formula (5)；
Step 7), often influenceed by weather with high-frequency data it is more serious, so need weather filter to be handled,
Because the threshold value of weather filter can also change with the change of data, so the method for the invention based on image entropy, determines base
In the weather filter threshold value of FY-3MWRI data；Weather filter is drawn by MATLAB majorized function fmin-search
Threshold values；Ice concentration result is finally given by filtering process twice.The weather based on FY-3MWRI data is determined
Wave filter threshold value.The method of wherein image entropy is specific as follows：
Kapur methods are a kind of classical ways based on entropy, and for simple two classes partition problem, this method passes through excellent
Change following criterion function to select corresponding threshold value：
Topt=arg max [HI(T)+HW(T)]
Wherein:HIAnd H (T)W(T) size (entropy) that sea ice pixel and seawater pixel include information content is represented respectively；p(g)
Represent that gray level is the ratio shared by p pixel in image all pixels；P (T) represent accumulated probability, i.e., gray level from 0 to
Total pixel number purpose ratio shared by T pixel；G represents the gray level of maximum possible, i.e., when image has 256 gray levels,
G=255.The threshold value when object function maximizes is selected, as segmentation threshold.In specific method implementation process, adopt
With MATLAB, contained majorized function fmin-search is carried out in itself.
By MATLAB computings, the threshold value for drawing GR (37/19) weather filter is 0.05, i.e., when GR (37/19) is more than
It is 0 equal to 0.05 its seasonal ice concentration；The threshold value of GR (23/19) weather filter is 0.045, i.e., when GR (23/19) is big
In being 0 equal to 0.05 its seasonal ice concentration., will be all by being filtered twice to PRELIMINARY RESULTS obtained in the previous step
The weather sea ice that influences and cause to calculate mistake filter out, and then be corrected as seawater.After eventually passing through weather filter processing
Ice concentration result it is as shown in Figure 1.
Contrast verification：Arctic SSM/I data on January 3rd, 2016 are downloaded by ice and snow data center of the U.S., and adopted
With ASI ice concentration algorithms, ice concentration result (as shown in Figure 2) is finally finally inversed by, is carried out pair with the result of the present invention
Than checking.As a result show that both sea ice edges are consistent, ice concentration distribution is identical.It is provided by the present invention to be based on FY-
The Sea Ice Model closeness inverting research of 3MWRI data, for the first time by domestic satellite FY-3MWRI data, applies to ASI algorithms
In, it is innovative to be determined the core parameter based on ice concentration calculation formula in FY-3MWRI data ASI algorithms, and
The selection of effective threshold value of corresponding weather filter, therefore, research of the invention are to utilize domestic FY- to a certain extent
3MWRI data inversion Sea Ice Model closenesses have established certain basis, and technical guarantee sum is provided for the research in arctic navigation channel
According to support.
Examples detailed above is only the preferred embodiment of the present invention, is not intended to limit the invention, for the technology of this area
For personnel, the present invention can have various modifications and variations, and within the spirit and principles of the invention, that is made any repaiies
Change, equivalent substitution, improvement etc., should be included in the scope of the protection.
Claims (1)
- A kind of 1. method from FY-3MWRI data inversion Sea Ice Model closenesses, it is characterised in that：Comprise the following steps：Step 1), obtain FY-3MWRI level one datas.Step 2), the FY-3MWRI level one datas to acquisition pre-process；It is divided into radiant correction, data splicing, land mask；Radiant correction：Using radiant correction formula L=Gain*DN+Bias, wherein L is the bright temperature value after radiant correction, Gain with And Bias is radiant correction parameter, DN is pixel value in the level one data that FY-3MWRI is provided, according to the section of FY-3MWRI offers Learn data set and understand Gain=-0.01, Bias=0；The FY-3MWRI level one datas of acquisition are substituted into radiant correction formula and obtained Data after being corrected；Data are spliced：The FY-3MWRI data of acquisition are single track imaging, image mosaic are carried out using ENVI softwares, by FY-3MWRI Longitude and latitude file in data set is imported into ENVI, and the splicing of data is carried out by building the GLT files with coordinate system；Land mask：Land mask is handled by the band math in ENVI softwares；Step 3), two marine sites are chosen, choose the selection of the data progress sample point of 1 year, calculate the polarization in two regions respectively Difference, probability distribution statistical is carried out, the numerical value that daily maximum probability occurs is chosen, as the polarization difference value on the same day, Ran Houqu The average value of annual polarization difference value；Determine the mooring points value of pure water and pure ice；P is designated as respectively0(pure water), P1(pure ice), P= T89V-T89H, wherein T89V are the vertical polarization of 89GHz frequency ranges, and T89H is the horizontal polarization of 89GHz frequency ranges, and P is all kinds of pixels Polarization it is poor；Step 4), the P by acquisition0、P1Value, with interpolation calculation, determine the parameter of ASI ice concentration inversion formulas, ASI seas Ice concentration inversion algorithm is specific as follows：P=Tbv-Tbh (1)Wherein, TbvIt is the bright temperature of vertical polarization, TbhIt is the bright temperature of horizontal polarization；Select ice concentration of the three rank multinomials fitting from 0% to 100% as follows：C=d3p3+d2p2+d1p+d0 (2)Step 5), the P by acquisition0、P1Value is updated in formula (2), then significantly small to formula (2) derivation, the polarization difference of ice face again Polarization difference P distinguishes P when the polarization difference of water, ice concentration C convergences 0 and 10And P1, draw for solving formula (2) the quaternary once linear equation group of coefficient, is shown in formula (3), and d is calculated using formula (3)0、d1、d2、d3<mrow> <mfenced open = "[" close = "]"> <mtable> <mtr> <mtd> <mrow> <msup> <msub> <mi>P</mi> <mn>0</mn> </msub> <mn>3</mn> </msup> </mrow> </mtd> <mtd> <mrow> <msup> <msub> <mi>P</mi> <mn>0</mn> </msub> <mn>2</mn> </msup> </mrow> </mtd> <mtd> <msub> <mi>P</mi> <mn>0</mn> </msub> </mtd> <mtd> <mn>1</mn> </mtd> </mtr> <mtr> <mtd> <mrow> <msup> <msub> <mi>P</mi> <mn>1</mn> </msub> <mn>3</mn> </msup> </mrow> </mtd> <mtd> <mrow> <msup> <msub> <mi>P</mi> <mn>1</mn> </msub> <mn>2</mn> </msup> </mrow> </mtd> <mtd> <msub> <mi>P</mi> <mn>1</mn> </msub> </mtd> <mtd> <mn>1</mn> </mtd> </mtr> <mtr> <mtd> <mrow> <mn>3</mn> <msup> <msub> <mi>P</mi> <mn>0</mn> </msub> <mn>2</mn> </msup> </mrow> </mtd> <mtd> <msub> <mi>P</mi> <mn>1</mn> </msub> </mtd> <mtd> <mn>1</mn> </mtd> <mtd> <mn>0</mn> </mtd> </mtr> <mtr> <mtd> <mrow> <mn>3</mn> <msup> <msub> <mi>P</mi> <mn>1</mn> </msub> <mn>2</mn> </msup> </mrow> </mtd> <mtd> <mrow> <mn>2</mn> <msub> <mi>P</mi> <mn>1</mn> </msub> </mrow> </mtd> <mtd> <mn>1</mn> </mtd> <mtd> <mn>0</mn> </mtd> </mtr> </mtable> </mfenced> <mo>&CenterDot;</mo> <mfenced open = "[" close = "]"> <mtable> <mtr> <mtd> <msub> <mi>d</mi> <mn>3</mn> </msub> </mtd> </mtr> <mtr> <mtd> <msub> <mi>d</mi> <mn>2</mn> </msub> </mtd> </mtr> <mtr> <mtd> <msub> <mi>d</mi> <mn>1</mn> </msub> </mtd> </mtr> <mtr> <mtd> <msub> <mi>d</mi> <mn>0</mn> </msub> </mtd> </mtr> </mtable> </mfenced> <mo>=</mo> <mfenced open = "[" close = "]"> <mtable> <mtr> <mtd> <mn>0</mn> </mtd> </mtr> <mtr> <mtd> <mn>1</mn> </mtd> </mtr> <mtr> <mtd> <mo>-</mo> <mn>1.14</mn> </mtd> </mtr> <mtr> <mtd> <mo>-</mo> <mn>0.14</mn> </mtd> </mtr> </mtable> </mfenced> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>3</mn> <mo>)</mo> </mrow> </mrow>By d0、d1、d2、d3It is brought into formula (2) and draws ice concentration C.Finally determination ice concentration C expression formula is：C=6.45714 × 10-6P3-6.05256×10-4P2-9.22521×10-3P+1.10031 (4)P is obtained by step 4)0、P1Value, and then obtain ice concentration formula provided by the invention：C=1.29 × 10-5P3-1.28×10-3P2+1.01×10-2P+1.02 (5)Ice concentration result based on the line number evidences of FY-3MWRI mono- is finally inversed by by formula (5)；Step 6), the method based on image entropy, it is determined that the weather filter threshold value based on FY-3MWRI data；Pass through MATLAB's Majorized function fmin-search draws the threshold values of weather filter；Ice concentration knot is finally given by filtering process twice Fruit.
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109765550A (en) * | 2019-01-17 | 2019-05-17 | 中国人民解放军61741部队 | Sea ice thickness inversion method, system and electronic equipment |
| CN111104748A (en) * | 2019-12-23 | 2020-05-05 | 南京大学 | Method for calculating drift velocity of arctic sea ice |
| CN111563318A (en) * | 2020-04-15 | 2020-08-21 | 中国科学院国家空间科学中心 | Method and system for inverting sea ice density by using 89GHz single-frequency multi-incidence-angle bright temperature difference |
| CN112051221A (en) * | 2020-08-27 | 2020-12-08 | 武汉大学 | Sea ice density obtaining method based on space-time system point value |
| CN112818851A (en) * | 2020-09-02 | 2021-05-18 | 河南工业大学 | Method for detecting icebound lake based on FY-3MWRI data |
| CN113127794A (en) * | 2021-04-07 | 2021-07-16 | 中山大学 | Method for calculating density of arctic sea ice |
| CN115856879A (en) * | 2022-11-30 | 2023-03-28 | 南京信息工程大学 | Sea ice melting period intensity inversion method |
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