CN102867315B - The compression method of satellite cloud picture - Google Patents
The compression method of satellite cloud picture Download PDFInfo
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- CN102867315B CN102867315B CN201210236343.9A CN201210236343A CN102867315B CN 102867315 B CN102867315 B CN 102867315B CN 201210236343 A CN201210236343 A CN 201210236343A CN 102867315 B CN102867315 B CN 102867315B
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Abstract
The invention provides a kind of compression method of satellite cloud picture, first based on the characteristic information of stored multiple first satellite cloud pictures comprised pixel separately, from the first satellite cloud picture described in each, obtain at least one cloud system image; The pixel that the difference of characteristic information is less than first threshold by the comparison of the characteristic information of the pixel of the continuous adjacent comprised based on described cloud system image is again combined into a pixel set, simplifies described cloud system image, to obtain cloud system template; Again cloud system template described in each is mated with the second obtained satellite cloud picture, with the described cloud system template selecting matching degree the highest; Described second satellite cloud picture described second satellite cloud picture being resolved into selected described cloud system template and does not mate; Repeat final step, the characteristic information of the pixel that described second satellite cloud picture do not mated until remaining comprises lower than Second Threshold, then obtains the set of multiple cloud system template and remaining described second satellite cloud picture do not mated.
Description
Technical field
The present invention relates to a kind of method for compressing image, particularly relate to a kind of compression method of satellite cloud picture.
Background technology
In the mass data that satellite cloud picture comprises, cloud system data account for principal ingredient, therefore, when to satellite cloud picture compression of images, need special compression effectiveness and the compression losses of considering cloud system data.
But, image compression algorithm at present for satellite cloud picture still uses existing image compression algorithm, as satellite cloud picture being considered as general black white image or binary data compresses, using visual quality of images or the data SNR after recovering as the assessment level of lossy compression method.This method cannot embody relevance between satellite cloud picture and similarity, and the apriority of cloud system data, so compression effectiveness is not good, compression efficiency is lower.
In order to embody relevance between satellite cloud picture and similarity, and the apriority of cloud system data, to improve compression efficiency, need to improve existing compression algorithm.
Summary of the invention
The shortcoming of prior art in view of the above, the object of the present invention is to provide a kind of compression method of satellite cloud picture, to simplify the compression algorithm of satellite cloud picture.
For achieving the above object and other relevant objects, the invention provides a kind of compression method of satellite cloud picture, it is characterized in that, the compression method of described satellite cloud picture at least comprises: 1) based on the characteristic information of stored multiple first satellite cloud pictures comprised pixel separately, obtain at least one cloud system image from the first satellite cloud picture described in each; 2) pixel that the difference of characteristic information is less than first threshold by the comparison of the characteristic information of the pixel of the continuous adjacent comprised based on described cloud system image is combined into a pixel set, simplifies described cloud system image, to obtain cloud system template; A) cloud system template described in each is mated with the second obtained satellite cloud picture, with the described cloud system template selecting matching degree the highest; Described second satellite cloud picture described second satellite cloud picture being resolved into selected described cloud system template and does not mate; Repeated execution of steps a), mate with described second satellite cloud picture do not mated after cloud system template described in each and last time are decomposed, the characteristic information of the pixel that described second satellite cloud picture do not mated until remaining comprises lower than Second Threshold, then the set of the multiple cloud system templates obtained described second satellite cloud picture boil down to chosen and remaining described second satellite cloud picture do not mated.
Preferably, described step 1) also comprises: 1-1) decorrelation conversion is carried out to the characteristic information of stored multiple first satellite cloud pictures comprised pixel separately, the characteristic information after the conversion corresponding separately to described first satellite cloud picture carries out peakvalue's checking; Region 1-2) surrounded based on the pixel before the difference of the continuous print adjacent peak detected is less than corresponding to peak line that the 3rd threshold value forms conversion obtains at least one cloud system image.
Preferably, described step 1) also comprises: classified by gradient by the peak value detected, the region surrounded based on the pixel before the conversion that the difference of the continuous print adjacent peak belonged in same class is less than corresponding to peak line that the 3rd threshold value forms is as cloud system image.
Preferably, described step 1) also comprises: 1-a) each stored first satellite cloud picture is split, to obtain multiple subsatellites cloud atlas.
Preferably, described step 1) also comprises: the characteristic information of the pixel comprised by described subsatellite cloud atlas carries out decorrelation conversion, and the distribution situation of described characteristic information after Corpus--based Method conversion determines whether comprise cloud system image in the cloud atlas of described subsatellite; If do not comprise, remove described subsatellite cloud atlas; Characteristic information after conversion corresponding to the described subsatellite cloud atlas comprise cloud system image to each carries out peakvalue's checking, and the region surrounded based on the pixel before the difference of the continuous print adjacent peak detected is less than corresponding to peak line that the 3rd threshold value forms conversion is as cloud system image.
Preferably, the mode splitting satellite cloud picture in described step 1) comprises: adopt watershed algorithm to be split by each stored first satellite cloud picture.
Preferably, described decorrelation conversion comprises Hotelling transform.
Preferably, described step 3) selects the mode of the cloud system template of coupling to comprise: based on decompose each time before the described cloud system template that matches of the described satellite cloud picture do not mated meet formula (1), select described cloud system template;
Determine that the described cloud system template of mating meets following formula:
γ
p=argmax|〈x
p-1(t),g
γp(t)〉|
2；
Wherein, described x
pt () is the described satellite cloud picture do not mated before decomposition each time;
T is the independent variable parameter of cloud system template;
γ
pthe satellite cloud picture X(p-1 that all cloud system template g do not mate with current (after p-1 iteration)) between the parameter of maximum that template of similarity;
P is current iterations; Cloud system coefficient bp is expressed as b
p=< x
p-1(t), g
γ p(t) >
Establish x in an initial condition
0(t)=x (t).
Preferably, in described step 3), obtained described satellite cloud picture data are defined as the cloud system template of mating and the mode of described satellite cloud picture of not mating comprises:
Described satellite cloud picture is expressed as:
Wherein, bp be cloud system coefficient,
for cloud system template, R is remaining described second satellite cloud picture do not mated.
Preferably, remaining described second satellite cloud picture do not mated comprises: the residual error of failing between the region that matches in the pixel that carries out to any described cloud system template mating and described second satellite cloud picture and corresponding the described cloud system template selected.
Preferably, also comprise in described step 3): remaining described second satellite cloud picture do not mated is compressed, be defined as the cloud system template of coupling and remaining described second satellite cloud picture do not mated after compressing to make described second satellite cloud picture.As mentioned above, the compression method of satellite cloud picture of the present invention, there is following beneficial effect: make full use of the cloud system image in the satellite cloud picture that history preserves, cloud system image is simplified, to obtain cloud system template, and mate based on cloud system template described in each and obtained satellite cloud picture the multiple cloud system templates chosen and mate most, and selected cloud system template is compressed with the remaining satellite cloud picture do not mated, to obtain the satellite cloud picture compressed, wherein, a satellite cloud picture is resolved into multiple little image, greatly can reduce the time needed for compression one width satellite cloud picture, improve the efficiency of compression of images, in addition, fully according to the cloud system template extracted, several obtained satellite cloud pictures are mated, the compaction algorithms efficiency of follow-up satellite cloud picture is significantly improved, in addition, the first stored satellite cloud picture is divided into multiple subsatellites cloud atlas, then the analysis each subsatellite cloud atlas being carried out to characteristic information distribution is to judge whether comprise cloud system image in the cloud atlas of described subsatellite, so can improves the efficiency of acquisition cloud system image.
Accompanying drawing explanation
Fig. 1 is shown as the process flow diagram of the compression method of satellite cloud picture of the present invention.
Fig. 2 is shown as a kind of image schematic diagram obtaining cloud system data in the compression method of satellite cloud picture of the present invention from described first satellite cloud picture.
Fig. 3 is shown as in the compression method of satellite cloud picture of the present invention the process flow diagram of a kind of embodiment obtaining cloud system data.
Fig. 4 is shown as another the image schematic diagram obtaining cloud system data in the compression method of satellite cloud picture of the present invention from described first satellite cloud picture.
Fig. 5 is shown as the process flow diagram of another embodiment obtaining cloud system data in the compression method of satellite cloud picture of the present invention.
Element numbers explanation
S1 ~ S3, S11-S12, S13-S15 step
Embodiment
Below by way of specific instantiation, embodiments of the present invention are described, those skilled in the art the content disclosed by this instructions can understand other advantages of the present invention and effect easily.The present invention can also be implemented or be applied by embodiments different in addition, and the every details in this instructions also can based on different viewpoints and application, carries out various modification or change not deviating under spirit of the present invention.
Fig. 1 is shown as the process flow diagram of the compression method of a kind of satellite cloud picture of the present invention.Wherein, the compression method of described satellite cloud picture performs primarily of compressibility, and described compressibility is the application module etc. be arranged in computer equipment.This computer equipment be a kind of can according to the program stored in advance, automatically the modernization intelligent electronic device of massive values computation and various information processing, is carried out at high speed, and can communicate with weather satellite, its hardware includes but not limited to microprocessor, FPGA, DSP, embedded device etc.
In step sl, described compressibility, based on the characteristic information of stored multiple first satellite cloud pictures comprised pixel separately, obtains at least one cloud system image from the first satellite cloud picture described in each.Wherein, described characteristic information includes but not limited to: brightness value, gray feature value etc.
Particularly, the characteristic information of described compressibility to the pixel that each stored first satellite cloud picture comprises is analyzed, the region that each pixel characteristic information being met pre-conditioned continuous adjacent is formed, as a cloud system image, is come to obtain at least one cloud system image from each the first satellite cloud picture thus.
Such as, as shown in Figure 2, its first satellite cloud picture A1 stored for described compressibility, this first satellite cloud picture A1 comprises pixel a11, a12, anm, described compressibility is based on pixel akj, ak (j+1), a (k+1) (j-1), a (k+1) j, a (k+1) (j+1), a (k+1) (j+2), a (k+1) (j+3), a (k+2) (j-1) a (k+2) j, a (k+2) (j+1), a (k+2) (j+2) respective characteristic information is all greater than preset value, and it is adjacent between two, the region y1 formed by those pixels is as cloud system image.
Preferably, as shown in Figure 3, described step S1 also comprises step S11, S12.
In step s 11, the characteristic information of described compressibility to stored multiple first satellite cloud pictures comprised pixel separately carries out decorrelation conversion, and the characteristic information after the conversion corresponding separately to described first satellite cloud picture carries out peakvalue's checking.Wherein, described decorrelation conversion comprises any mode characteristic information of comprised pixel can being carried out decorrelation conversion, and it includes but not limited to: KL converts.
Particularly, described compressibility is added up the characteristic information after the conversion of described first satellite cloud picture, and Corpus--based Method result carrys out detection peak.Wherein, the mode that the characteristic information after conversion is added up is included but not limited to: statistics with histogram mode.
Such as, characteristic information A2 ' is obtained after the characteristic information A2 of the pixel that the first satellite cloud picture comprises by described compressibility carries out decorrelation conversion, then, the distribution of histogram to numerical value each in characteristic information A2 ' is utilized to add up, obtain the characteristic information after converting and concentrate on d1, d2, d3 numerical value, then detect that the peak value of the characteristic information after conversion is d1, d2, d3.
In step s 12, the region that surrounds based on the pixel before the difference of the continuous print adjacent peak detected is less than corresponding to peak line that the 3rd threshold value forms conversion of described compressibility is as cloud system image.
Such as, as shown in Figure 4, the characteristic information A3 of pixel that the first satellite cloud picture comprises carries out the characteristic information A3 ' after decorrelation conversion
Characteristic information be
described compressibility detects that peak value comprises 20,25 and 40 from described characteristic information A3, then determine that the eigenwert on b11, b12, b22, b23, b31 position is peak value, the 3rd threshold value preset is 6, then described compressibility detection continuous print adjacent peak obtains:
The eigenwert 20 of b11 position is less than 6 with the difference of the eigenwert 25 of b12 position;
The eigenwert 25 of b12 position is less than 6 with the difference of the eigenwert 25 of b22 position;
The eigenwert 25 of b22 position is less than 6 with the difference of the eigenwert 20 of b23 position;
The eigenwert 20 of b23 position is greater than 6 with the difference of the eigenwert 40 of b33 position;
Then the line that the eigenwert of b11, b12, b22 and b23 position is formed is called peak line by described compressibility, the pixel that the inverse transformation converted by decorrelation again obtains forming this peak line comprises: bkj, bk (j+1), b (k+1) (j-1), b (k+1) j, b (k+1) (j+1), b (k+1) (j+2), b (k+1) (j+3), b (k+2) (j-1) b (k+2) j, b (k+2) (j+1), b (k+2) (j+2), bpq, bp (q+1), then described compressibility is by the pixel bkj of continuous adjacent, bk (j+1), b (k+1) (j-1), b (k+1) j, b (k+1) (j+1), b (k+1) (j+2), b (k+1) (j+3), b (k+2) (j-1) b (k+2) j, b (k+2) (j+1), the region that b (k+2) (j+2) is formed is as cloud system image.
Preferably, the peak value detected is classified by gradient by described compressibility, and the region surrounded based on the pixel before the conversion that the difference of the continuous print adjacent peak belonged in same class is less than corresponding to peak line that the 3rd threshold value forms is as cloud system image.
Particularly, the peak value detected is classified by the gradient preset by described compressibility.
Such as, described compressibility detects that peak value comprises 20,25,46,50,70, and the classification gradient preset is 20, then the peak value detected is classified as follows by described compressibility:
First kind peak value comprises: 20,25;
Equations of The Second Kind peak value comprises: 46,50;
3rd quasi-peak value comprises: 70.
Then the region that surrounds based on the pixel before the difference of the continuous print adjacent peak belonged in same class is less than corresponding to peak line that the 3rd threshold value forms conversion of described compressibility is as cloud system image.
It should be noted that, those skilled in the art should understand that, the region that the region that pixel before the difference of the above-mentioned continuous print adjacent peak based on belonging in same class is less than the conversion corresponding to peak line that the 3rd threshold value forms surrounds surrounds as the pixel before the mode of cloud system image and the difference of the aforementioned continuous print adjacent peak based on detecting are less than the conversion corresponding to the peak line that the 3rd threshold value forms is same or similar as the mode of cloud system image, is not described in detail in this.
More preferably, as shown in Figure 5, described step S1 also comprises step S13, S14, S15.
In step s 13, each stored first satellite cloud picture is split by described compressibility, to obtain multiple subsatellites cloud atlas.Wherein, the mode that described satellite cloud picture carries out splitting includes but not limited to by described compressibility: described first satellite cloud picture is carried out decile by the quantity preset.Preferably, described compressibility adopts watershed algorithm to be split by each stored first satellite cloud picture.
It should be noted that, it should be appreciated by those skilled in the art that the above-mentioned mode that described first satellite cloud picture carries out splitting being only lists, but not limitation of the present invention, in fact, any the mode that described first satellite cloud picture carries out splitting to be included within the present invention.
In step S14, the characteristic information of the pixel that described subsatellite cloud atlas comprises is carried out decorrelation conversion by described compressibility, and the distribution situation of described characteristic information after Corpus--based Method conversion determines whether comprise cloud system image in the cloud atlas of described subsatellite; If do not comprise, remove described subsatellite cloud atlas.Wherein, the algorithm of described decorrelation conversion includes but not limited to Hotelling transform (KL conversion).The mode of the distribution situation of the described characteristic information after statistics conversion includes but not limited to: the mode adopting statistics with histogram.
Such as, the brightness value of the pixel that described subsatellite cloud atlas comprises is carried out decorrelation conversion by described compressibility, to obtain the described brightness value after converting, then, the distribution of the brightness value after utilizing statistics with histogram to convert, have 80% to concentrate between 0-30 when obtaining brightness value, then think and do not comprise cloud system image in the cloud atlas of described subsatellite, remove described subsatellite cloud atlas.
And for example, the brightness value of the pixel that described subsatellite cloud atlas comprises is carried out decorrelation conversion by described compressibility, to obtain the described brightness value after converting, then, the distribution of the brightness value after utilizing statistics with histogram to convert, have 40% to concentrate between 70-90 when obtaining brightness value, then think and comprise cloud system image in the cloud atlas of described subsatellite.
In step S15, described compressibility carries out peakvalue's checking to the characteristic information after each comprises the conversion corresponding to the described subsatellite cloud atlas of cloud system image, and the region surrounded based on the pixel before the difference of the continuous print adjacent peak detected is less than corresponding to peak line that the 3rd threshold value forms conversion is as cloud system image.
It should be noted that, those skilled in the art should understand that, the above-mentioned described subsatellite cloud atlas to comprising cloud system image carries out peakvalue's checking, and the mode obtained in the mode of cloud system image and abovementioned steps S11 and step S12 is same or similar, is not described in detail in this.In step s 2, the pixel that the difference of characteristic information is less than the 3rd threshold value by the comparison of the characteristic information of the pixel of the continuous adjacent that described compressibility comprises based on described cloud system image is combined into a pixel set, simplify described cloud system image, to obtain cloud system template.
Such as, the difference of the characteristic information in described cloud system image between pixel b11 and b12 is less than the 3rd default threshold value, the difference of the characteristic information between b12 and b13 is less than the 3rd default threshold value, the difference of the characteristic information between b12 and b22 is less than the 3rd default threshold value, pixel b11, b12, b13, the difference of the characteristic information of the pixel that b22 is adjacent with other is all greater than described 3rd threshold value, then by pixel b11, b12, b13, b22 is combined into a pixel set, to simplify described cloud system image, and using the cloud system image after simplification as cloud system template.
Preferably, the pixel that the characteristic information of the pixel of the continuous adjacent that described compressibility comprises based on described cloud system image is equal is combined into a pixel set, simplifies described cloud system image, to obtain cloud system template.
Such as, characteristic information in described cloud system image between pixel a11 and a12, between a11 and a21, between a21 and a22 is all identical, then pixel a11, a12, a21, a22 are combined into a pixel set, to simplify described cloud system image, and using the cloud system image after simplification as cloud system template.
In step s3, cloud system template described in each is mated with the second obtained satellite cloud picture by described compressibility, with the described cloud system template selecting matching degree the highest; Described second satellite cloud picture described second satellite cloud picture being resolved into selected described cloud system template and does not mate; Repeated execution of steps S3, mate with described second satellite cloud picture do not mated after cloud system template described in each and last time are decomposed, the characteristic information of the pixel that described second satellite cloud picture do not mated until remaining comprises lower than Second Threshold, then the set of the multiple cloud system templates obtained described second satellite cloud picture boil down to chosen and remaining described second satellite cloud picture do not mated.
Wherein, remaining described second satellite cloud picture do not mated comprises: the residual error of failing between the region that respectively matches in the pixel that carries out to any described cloud system template mating and described second satellite cloud picture and corresponding the described cloud system template selected.Preferably, described remaining described second satellite cloud picture do not mated only comprises the pixel failing to carry out with any described cloud system template mating.
Such as, the characteristic information of the pixel that the characteristic information of the pixel that cloud system template described in each comprises by described compressibility comprises with the second obtained satellite cloud picture mates one by one, to obtain multiple residual error, choose the respective regions that the minimum cloud system template of residual values is come in alternative described second satellite cloud picture, and described second satellite cloud picture described second satellite cloud picture being decomposed into selected cloud system template and not mating; Subregion in described second satellite cloud picture do not mated after decomposition each time is repeatedly mated with cloud system template described in each by described compressibility one by one, until the characteristic information of pixel in described second satellite cloud picture do not mated all is less than default Second Threshold, obtain described second satellite cloud picture after the compression be made up of multiple cloud system template and described second satellite cloud picture that do not mate thus.
It should be noted that, the mode of the cloud system template of above-mentioned selection coupling is only citing, but not limitation of the present invention, in fact, any the mode that cloud system template described in each and the second obtained satellite cloud picture carry out mating all to be comprised within scope in the present invention.
Preferably, described compressibility selects the mode of the cloud system template of coupling to comprise: based on decompose each time before the described cloud system template that matches of the described satellite cloud picture do not mated meet formula (1), select described cloud system template.
γ
p=argmax| < x
p-1(t), g
γ p(t) > |
2formula (1)
Wherein, described x
pt () is the described satellite cloud picture do not mated before decomposition each time;
T is the independent variable parameter of cloud system template;
γ
pthe satellite cloud picture X(p-1 that all cloud system template g do not mate with current (after p-1 iteration)) between the parameter of maximum that template of similarity;
P is current iterations;
Cloud system coefficient bp is expressed as b
p=< x
p-1(t), g
γ p(t) >
Establish x in an initial condition
0(t)=x (t).
Preferably, described compressibility obtains described second satellite cloud picture after compression based on formula (2).
Wherein, bp be cloud system coefficient,
for cloud system template, R is remaining described second satellite cloud picture do not mated.
More preferably, remaining described second satellite cloud picture do not mated compresses by described compressibility, to make the described cloud system template of the second satellite cloud picture boil down to coupling and remaining described second satellite cloud picture do not mated after compressing.
It should be noted that, it should be appreciated by those skilled in the art that the mode being carried out by remaining described second satellite cloud picture do not mated compressing, be not described in detail in this.
Also it should be noted that, those skilled in the art should understand that, above-mentioned steps S1, between S2 and step S3 and discontinuous execution, after described compressibility can obtain multiple cloud system template according to step S1 and step S2, repeated execution of steps S3, to mate each obtained second satellite cloud picture, and then obtain the second satellite cloud picture of compression.
In sum, the compression method of satellite cloud picture of the present invention, make full use of the cloud system image in the satellite cloud picture that history preserves, cloud system image is simplified, to obtain cloud system template, and mate based on cloud system template described in each and obtained satellite cloud picture the multiple cloud system templates chosen and mate most, and selected cloud system template is compressed with the remaining satellite cloud picture do not mated, to obtain the satellite cloud picture compressed, wherein, a satellite cloud picture is resolved into multiple little image, greatly can reduce the time needed for compression one width satellite cloud picture, improve the efficiency of compression of images, in addition, fully according to the cloud system template extracted, several obtained satellite cloud pictures are mated, the compaction algorithms efficiency of follow-up satellite cloud picture is significantly improved, in addition, the first stored satellite cloud picture is divided into multiple subsatellites cloud atlas, then the analysis each subsatellite cloud atlas being carried out to characteristic information distribution is to judge whether comprise cloud system image in the cloud atlas of described subsatellite, so can improves the efficiency of acquisition cloud system image.So the present invention effectively overcomes various shortcoming of the prior art and tool high industrial utilization.
Above-described embodiment is illustrative principle of the present invention and effect thereof only, but not for limiting the present invention.Any person skilled in the art scholar all without prejudice under spirit of the present invention and category, can modify above-described embodiment or changes.Therefore, such as have in art usually know the knowledgeable do not depart from complete under disclosed spirit and technological thought all equivalence modify or change, must be contained by claim of the present invention.
Claims (7)
1. a compression method for satellite cloud picture, is characterized in that, the compression method of described satellite cloud picture comprises the following steps:
1) based on the characteristic information of stored multiple first satellite cloud pictures comprised pixel separately, from the first satellite cloud picture described in each, at least one cloud system image is obtained;
1-1) carry out decorrelation conversion to the characteristic information of stored multiple first satellite cloud pictures comprised pixel separately, the characteristic information after the conversion corresponding separately to described first satellite cloud picture carries out peakvalue's checking; Described decorrelation conversion comprises Hotelling transform;
Region 1-2) surrounded based on the pixel before the difference of the continuous print adjacent peak detected is less than corresponding to peak line that the 3rd threshold value forms conversion obtains at least one cloud system image;
Wherein, classified by the peak value detected by gradient, the region surrounded based on the pixel before the conversion that the difference of the continuous print adjacent peak belonged in same class is less than corresponding to peak line that the 3rd threshold value forms is as cloud system image;
2) pixel that the difference of characteristic information is less than first threshold by the comparison of the characteristic information of the pixel of the continuous adjacent comprised based on described cloud system image is combined into a pixel set, simplifies described cloud system image, to obtain cloud system template;
Described method also comprises:
A) cloud system template described in each is mated with the second obtained satellite cloud picture, with the described cloud system template selecting matching degree the highest; Described second satellite cloud picture described second satellite cloud picture being resolved into selected described cloud system template and does not mate;
Repeated execution of steps a), mate with described second satellite cloud picture do not mated after cloud system template described in each and last time are decomposed, the characteristic information of the pixel that described second satellite cloud picture do not mated until remaining comprises lower than Second Threshold, then the set of the multiple cloud system templates obtained described second satellite cloud picture boil down to chosen and remaining described second satellite cloud picture do not mated;
Wherein, select the mode of cloud system template of coupling to comprise: based on decompose each time before the described cloud system template that matches of the described satellite cloud picture do not mated meet formula (1), select described cloud system template;
Determine that the described cloud system template of mating meets following formula:
Wherein, described x
p-1t () is the described satellite cloud picture do not mated before decomposition each time;
T is the independent variable parameter of cloud system template;
γ
pthe satellite cloud picture x that all cloud system template g do not mate with after p-1 iteration
p-1between the parameter of maximum that template of similarity;
P is current iterations; Cloud system coefficient b
pbe expressed as
Establish x in an initial condition
0(t)=x (t).
2. the compression method of satellite cloud picture according to claim 1, is characterized in that, described step 1) also comprise:
1-a) each stored first satellite cloud picture is split, to obtain multiple subsatellites cloud atlas.
3. the compression method of satellite cloud picture according to claim 2, is characterized in that, described step 1) also comprise:
The characteristic information of the pixel comprised by described subsatellite cloud atlas carries out decorrelation conversion, and the distribution situation of described characteristic information after Corpus--based Method conversion determines whether comprise cloud system image in the cloud atlas of described subsatellite; If do not comprise, remove described subsatellite cloud atlas;
Characteristic information after conversion corresponding to the described subsatellite cloud atlas comprise cloud system image to each carries out peakvalue's checking, and the region surrounded based on the pixel before the difference of the continuous print adjacent peak detected is less than corresponding to peak line that the 3rd threshold value forms conversion is as cloud system image.
4. the compression method of satellite cloud picture according to claim 2, is characterized in that, described step 1) in segmentation satellite cloud picture mode comprise: adopt watershed algorithm each stored first satellite cloud picture is split.
5. the compression method of satellite cloud picture according to claim 1, is characterized in that, obtained described satellite cloud picture data is defined as the cloud system template of mating and the mode of described satellite cloud picture of not mating comprises:
Described satellite cloud picture is expressed as:
Wherein, b
pfor cloud system coefficient,
for cloud system template, R is remaining described second satellite cloud picture do not mated;
T is the independent variable parameter of cloud system template;
γ
pthe satellite cloud picture x that all cloud system template g do not mate with after p-1 iteration
p-1between the parameter of maximum that template of similarity;
P is current iterations; Cloud system coefficient b
pbe expressed as
Establish x in an initial condition
0(t)=x (t).
6. the compression method of satellite cloud picture according to claim 1, it is characterized in that, remaining described second satellite cloud picture do not mated comprises: the residual error of failing between the region that matches in the pixel that carries out to any described cloud system template mating and described second satellite cloud picture and corresponding the described cloud system template selected.
7. the compression method of satellite cloud picture according to claim 1, it is characterized in that, also comprise: remaining described second satellite cloud picture do not mated is compressed, be defined as the cloud system template of coupling and remaining described second satellite cloud picture do not mated after compressing to make described second satellite cloud picture.
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