CN105976345A - Visible light remote sensing image synthesis method - Google Patents
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- G—PHYSICS
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- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
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- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
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Abstract
The invention discloses a visible light remote sensing image synthesis method. Synthetic simulation data can be taken as authentication data of remote sensing image research of cloud detection, shadow detection, quality evaluation and the like. The method comprises the following steps of through a texture synthesis method, using different sea-condition maximum resolution image slices to form large wide background data; through adding a target sample and a corresponding wake in sea surface background data, obtaining a ship target image with the wake; through adding cloud templates with different shapes and transparencies, generating different cloud amount and cloud layer thickness effects; through arranging a sun illumination angle, changing an integral gray scale distribution of the image and generating a cloud shadow; through adding a blur and a noise, simulating different imaging conditions; through an image downsampling method, acquiring needed images with different resolutions. By using the image synthesis method, according to different tasks, the sea condition, cloud shielding, illumination and other factors can be simulated and a remote sensing image of an assigned target is accurately and rapidly synthesized.
Description
Technical field
The invention belongs to technical field of image processing, particularly relate to a kind of visible remote sensing image synthetic method.
Background technology
Remote sensing images Ship Target Detection technology is at aspects such as Marine case, traffic administration, illegal fishing controls
There is vital effect, but the factor comprised due to Ship Target image is complex, obtains complexity
There is difficulty in the truthful data of situation, such as the situation in difference navigation direction, the situation of ship formation navigation, is subject to
The tail situation etc. of different ships in the situation and the different speed of a ship or plane of cloud and mist shadow occlusion.Lacking of checking data
Weary bring difficulty to the research of related algorithm, also be difficult to the data set that standard occurs to multiple algorithms of different simultaneously
Compare.The scholar of research problems sets up data set the most voluntarily, the number of these data sets, point
All there is bigger difference in resolution, size, complexity, when method contrasts, it is impossible to enter each algorithm
Evaluation and test under row unified standard.
The visible remote sensing image of marine background is mainly affected by sea situation and cloud condition.Different sea situation grades
Determining the relation of target and background, as during 0 grade of sea situation, sea is smooth and bright like a mirror, Ship Target is the most notable；
And wave has shape clearly during 3 grades of sea situations, form whitecap everywhere, clarification of objective is extracted and causes
Interference.Cloud condition can be divided into cloudless, Bao Yun and spissatus three kinds of situations: cloudless most useful for target detection, Bao Yunhui
The gray value of target is produced impact, and target is caused and blocks by spissatus meeting.Meanwhile, lighting angle can cause
Remote sensing images also can be affected by the change of gradation of image and the generation of shade.
The problems referred to above are present in true remote sensing images, but, there is presently no practicality can be by sea situation
The remote sensing images emulation composite software being added according to demand with the factor such as cloud condition, is comprising the true of target
On the premise of image is difficult to obtain, generating emulating image data by remote sensing images synthetic method becomes one ten
Divide important studying a question.Meanwhile, this type of method obtain data be alternatively arranged as cloud detection, shadow Detection and
The checking data of the remote sensing images researchs such as quality evaluation.
Summary of the invention
For the problems referred to above, present invention contemplates that a kind of visible remote sensing image synthetic method of proposition, with according to not
Same task, the factor such as simulated sea conditions, cloud block and illumination, the distant of target is specified in synthesis accurately and rapidly
Sense image.
The technical scheme is that and be achieved in that:
The invention provides a kind of visible remote sensing image synthetic method, comprise the following steps:
By texture synthesis method, different sea situation highest resolution image slice is utilized to form background image；
On described background image, target sample and the tail of correspondence is added, it is thus achieved that band by the first composition rule
The Ship Target image of tail；
Added the cloud template of difformity and transparency by the second composition rule again, produce different cloud amount and cloud
The effect of layer thickness；
By arranging solar irradiation angle, change the overall intensity distribution of image after previous step processes, produce cloud
Shade；
By adding the fuzzy image-forming condition different with noise simulation；
By the method for image drop sampling, it is thus achieved that required different resolution image.
In such scheme, described by the first composition rule add on described background image target sample and
Tail obtains the Ship Target image of band tail, and process is:
Selected location target sample or tail template center being placed on background image, template image pixel is complete
All standing background image pixels, obtains initial composite diagram；
The template edge of described initial composite diagram is carried out mean filter, the image after being smoothed, it is conjunction
Become the Ship Target image obtained.
In such scheme, described adds difformity and the cloud template of transparency by the second composition rule,
Producing different cloud amount and the effect of cloud thickness, process is:
Cloud template center is placed in the selected location on described Ship Target image, with transparency as weight, meter
Calculation obtains initial composite diagram, and formula is:
Wherein, for this step input picture, for cloud template image, image is exported for this step, for cloud template
Transparency；
The template edge of initial composite diagram is carried out mean filter, the image after being smoothed, it is composite diagram.
In such scheme, described by arranging solar irradiation angle, change the overall intensity distribution of image, produce
The shade of cloud, process is:
The solar irradiation angle of input picture is considered as 90 °, given required composograph solar irradiation angle, calculate
The each grey scale pixel value of composograph, formula is as follows:
Wherein, for this step input picture, image is exported for this step.
In such scheme, the described method by image drop sampling, it is thus achieved that required different resolution image,
Process is:
Use bilinearity method to carry out down-sampled to the image after previous step processes, obtain given resolution image.
The present invention, on the premise of analyzing the difficult point that visible remote sensing image Ship Target Detection exists, establishes visible
Light remote sensing images Sea background storehouse, Ship Target storehouse, ship Wake storehouse, cloud data base, form visible ray distant
Sense image solar irradiation and the relation of brightness of image, ultimately generate the image meeting various mission requirements.Utilize
Emulating image and true picture are tested by classical Ship Target Detection method and image quality evaluation index
And evaluation, demonstrate verity and the effectiveness of emulating image.Present invention is primarily concerned with the sea of panchromatic optical band
The Ship Target with detection value of face navigation, because panchromatic optical band has the highest resolution, harbour
In Ship Target image easily obtain.The image combining method that the present invention proposes can be according to different task, mould
Intending the factors such as sea situation, cloud block and illumination, the remote sensing images of target are specified in synthesis accurately and rapidly.
Accompanying drawing explanation
Fig. 1 shows building-up process and each stage of embodiment of the present invention visible remote sensing image synthetic method
Image；
Fig. 2 and Fig. 3 is the visible remote sensing image composograph result utilizing the present invention to obtain.
In order to enable clearly to realize the structure of embodiments of the invention, it is labelled with certain size, structure in the drawings
And device, but it is only for signal needs, it is not intended to limit the invention to this specific dimensions, structure, device
In part and environment, according to specific needs, these devices and environment can be entered by those of ordinary skill in the art
Row sum-equal matrix or amendment, adjusting or revising of being carried out still is included in the scope of appended claims.
Detailed description of the invention
In the following description, the multiple different aspect of the present invention will be described, but, in this area
Those of ordinary skill for, can come real just with the some or all structures of the present invention or flow process
Execute the present invention.In order to for the definition explained, elaborate specific number, configuration and order, but very
Substantially, the present invention can also be implemented in the case of not having these specific detail.In other cases, in order to
Do not obscure the present invention, will no longer be described in detail for some well-known features.
In order to solve the technical problem that presently, there are, as it is shown in figure 1, embodiment of the present invention expectation provides one
Visible remote sensing image synthetic method, said method comprising the steps of:
(1) by the texture synthesis method sewed up based on block, synthesis comprises the background image of different sea situation；
(2) on described background image, add target sample and the tail of correspondence by the first composition rule, obtain
Obtain the Ship Target image of band tail；
(3) add difformity and the cloud template of transparency by the second composition rule, produce different cloud amount and
The effect of cloud thickness；
(4) by arranging solar irradiation angle, change the overall intensity distribution of image, produce the shade of cloud；
(5) by adding the fuzzy image-forming condition different with noise simulation；
(6) by the method for image drop sampling, it is thus achieved that required different resolution image.
Specifically, step (1) including:
(1a) utilize the image slice of highest resolution under different sea situation, make sea situation texture sample, as
The basic material of big fabric width background data textures synthesis；
(1b) utilize the on-fixed texture synthesis method sewed up based on block to carry out sea situation synthesis, obtain background number
According to.Concretely comprise the following steps: sample is carried out random piecemeal, these blocks are overlapped the to each other and is placed on new images；
Utilize dynamic programming to find out the optimal path covering border, minimize the error covering border, find rationally
Texture.
Specifically, step (2) including:
(2a) selected location that target sample or tail template center are placed on background image, template image
Pixel is completely covered background image pixels, obtains initial composite diagram；
(2b) template edge of above-mentioned initial composite diagram is carried out mean filter, the image after being smoothed,
It is the Ship Target image that synthesis obtains.
Specifically, step (3) including:
(3a) cloud template center is placed in the selected location on Ship Target image, with transparency as weight,
Being calculated initial composite diagram, formula is:
Wherein, for this step input picture, for cloud template image, image is exported for this step, for cloud template
Transparency；
(3b) template edge of above-mentioned initial composite diagram is carried out mean filter, the image after being smoothed,
It is the image with different cloud amount and cloud thickness that synthesis obtains.
Specifically, step (4) including:
The solar irradiation angle of input picture is considered as 90 °, given required composograph solar irradiation angle, calculate
The each grey scale pixel value of composograph, formula is as follows:
Wherein, for this step input picture (for having added the background image of Ship Target, tail or cloud layer),
Export image for this step, be the composograph after adding solar irradiation angle factor, for pixel coordinate figure.
Specifically, step (5) including:
(5a) carrying out Gaussian Blur process on composite diagram according to demand, formula is:
Wherein, for pixel relative coordinate, being set to (0,0) by center point coordinate, in field, pixel is sat relatively
Mark takes the relative position with center point coordinate；For variance；Gauss weight for each pixel.
According to Gauss weight, being calculated the image after Gaussian Blur processes, formula is:
Wherein, for this step input picture, export image for this step, be through Gaussian Blur process
Image, for for fuzzy core radius, is integer.
(5b) adding Gaussian noise on composite diagram according to demand, formula is:
Wherein, for this step input picture, export image for this step, be the figure after adding Gaussian noise
Picture, for the noise average set, for the noise variance set, for the puppet that produces with system time for seed with
Machine number, for the Gauss number generated by pseudo random number；
Specifically, step (6) including:
According to the resolution specified, calculate output image and the pantograph ratio of input picture, utilize bilinearity method pair
Existing image zooms in and out, and obtains required image, and formula is:
Wherein, for output image resolution ratio, for input image resolution, for calculated pantograph ratio；
Wherein, representing required image pixel value at coordinate points, for downward floor operation, and formula is:
According to calculating process above, can obtain exporting the pixel value of image each point, formula is:
Thus, the emulation composograph of available given resolution, this image can be as cloud detection, shade inspection
The checking data of the remote sensing images researchs such as survey and quality evaluation.
The present invention proposes a kind of visible remote sensing image synthetic method.By setting up visible remote sensing image sea
Face context vault, Ship Target storehouse, ship Wake storehouse, cloud data base, form visible remote sensing image sunlight
According to the relation with brightness of image, finally establish visible ray Ship Target Detection standard data set.Based on this
Bright illumination and image-forming condition model and image combining method, can obtain being more nearly with true picture is imitative
True image.
In specific embodiments provided herein, it should be understood that disclosed equipment and method,
Can realize by another way.Apparatus embodiments described above is only schematically, such as,
The division of described unit, is only a kind of logic function and divides, and actual can have other division side when realizing
Formula, such as: multiple unit or assembly can be in conjunction with, or are desirably integrated into another system, or some features can
To ignore, or do not perform.It addition, the coupling or straight that shown or discussed each ingredient is each other
Connect coupling or communication connection can be the INDIRECT COUPLING by some interfaces, equipment or unit or communication connection,
Can be electrical, machinery or other form.
The above-mentioned unit illustrated as separating component can be or may not be physically separate, as
The parts that unit shows can be or may not be physical location, i.e. may be located at a place, it is possible to
To be distributed on multiple NE；Part or all of unit therein can be selected according to the actual needs
Realize the purpose of the present embodiment scheme.
It addition, each functional unit in various embodiments of the present invention can be fully integrated in a processing module,
Can also be that each unit is individually as a unit, it is also possible to two or more unit are integrated in one
In individual unit；Above-mentioned integrated unit both can realize to use the form of hardware, it would however also be possible to employ hardware adds soft
The form of part functional unit realizes.
One of ordinary skill in the art will appreciate that: all or part of step realizing said method embodiment can
Completing with the hardware relevant by programmed instruction, aforesaid program can be stored in an embodied on computer readable and deposit
In storage media, this program upon execution, performs to include the step of said method embodiment；And aforesaid storage
Medium includes: movable storage device, read only memory (Read-Only Memory, ROM), random access memory
Memorizer (Random Access Memory, RAM), magnetic disc or CD etc. are various can store program generation
The medium of code.
The above, the only detailed description of the invention of the present invention, but protection scope of the present invention is not limited to
This, any those familiar with the art, in the technical scope that the invention discloses, can readily occur in
Change or replacement, all should contain within protection scope of the present invention.Therefore, protection scope of the present invention should
It is as the criterion with described scope of the claims.
Claims (5)
1. a visible remote sensing image synthetic method, it is characterised in that comprise the following steps:
By texture synthesis method, different sea situation highest resolution image slice is utilized to form background image；
On described background image, target sample and the tail of correspondence is added, it is thus achieved that band by the first composition rule
The Ship Target image of tail；
Added the cloud template of difformity and transparency by the second composition rule again, produce different cloud amount and cloud
The effect of layer thickness；
By arranging solar irradiation angle, change the overall intensity distribution of image after previous step processes, produce cloud
Shade；
By adding the fuzzy image-forming condition different with noise simulation；
By the method for image drop sampling, it is thus achieved that required different resolution image.
Method the most according to claim 1, it is characterised in that described is existed by the first composition rule
Adding target sample and the Ship Target image of tail acquisition band tail on described background image, process is:
Selected location target sample or tail template center being placed on background image, template image pixel is complete
All standing background image pixels, obtains initial composite diagram；
The template edge of described initial composite diagram is carried out mean filter, the image after being smoothed, it is conjunction
Become the Ship Target image obtained.
Method the most according to claim 1, it is characterised in that described is added by the second composition rule
Adding the cloud template of difformity and transparency, produce different cloud amount and the effect of cloud thickness, process is:
Cloud template center is placed in the selected location on described Ship Target image, with transparency as weight, meter
Calculation obtains initial composite diagram, and formula is:
Wherein, for this step input picture, for cloud template image, image is exported for this step, for cloud template
Transparency；
The template edge of initial composite diagram is carried out mean filter, the image after being smoothed, it is composite diagram.
Method the most according to claim 1, it is characterised in that described by arranging solar irradiation angle,
Changing the overall intensity distribution of image, produce the shade of cloud, process is:
The solar irradiation angle of input picture is considered as 90 °, given required composograph solar irradiation angle, calculate
The each grey scale pixel value of composograph, formula is as follows:
Wherein, for this step input picture, image is exported for this step.
Method the most as claimed in any of claims 1 to 4, it is characterised in that described by figure
As down-sampled method, it is thus achieved that required different resolution image, process is:
Use bilinearity method to carry out down-sampled to the image after previous step processes, obtain given resolution image.
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| CN107038706A (en) * | 2017-05-16 | 2017-08-11 | 西安电子科技大学 | Infrared image confidence level estimation device and method based on adaptive mesh |
| CN108073865A (en) * | 2016-11-18 | 2018-05-25 | 南京信息工程大学 | A kind of aircraft trail cloud recognition methods based on satellite data |
| CN108805201A (en) * | 2018-06-08 | 2018-11-13 | 湖南宸瀚信息科技有限责任公司 | Destination image data set creation method and its device |
| CN109345468A (en) * | 2018-08-29 | 2019-02-15 | 翔创科技（北京）有限公司 | Data processing method and device |
| CN110008360A (en) * | 2019-04-09 | 2019-07-12 | 河北工业大学 | Vehicle target image data base method for building up comprising specific background image |
| CN111929717A (en) * | 2020-07-24 | 2020-11-13 | 北京航空航天大学 | Satellite-borne image processor and processing method for remote sensing image target characteristic identification |
| CN112033960A (en) * | 2020-08-28 | 2020-12-04 | 大连海事大学 | Kelvin trail visible light remote sensing imaging method and system |
| CN112330562A (en) * | 2020-11-09 | 2021-02-05 | 中国人民解放军海军航空大学 | Heterogeneous remote sensing image transformation method and system |
| CN117557466A (en) * | 2024-01-11 | 2024-02-13 | 中国科学院空天信息创新研究院 | Optical remote sensing image target image enhancement method and device based on imaging conditions |
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| CN108073865B (en) * | 2016-11-18 | 2021-10-19 | 南京信息工程大学 | Aircraft trail cloud identification method based on satellite data |
| CN108073865A (en) * | 2016-11-18 | 2018-05-25 | 南京信息工程大学 | A kind of aircraft trail cloud recognition methods based on satellite data |
| CN107038706A (en) * | 2017-05-16 | 2017-08-11 | 西安电子科技大学 | Infrared image confidence level estimation device and method based on adaptive mesh |
| CN108805201A (en) * | 2018-06-08 | 2018-11-13 | 湖南宸瀚信息科技有限责任公司 | Destination image data set creation method and its device |
| CN109345468A (en) * | 2018-08-29 | 2019-02-15 | 翔创科技（北京）有限公司 | Data processing method and device |
| CN110008360A (en) * | 2019-04-09 | 2019-07-12 | 河北工业大学 | Vehicle target image data base method for building up comprising specific background image |
| CN111929717A (en) * | 2020-07-24 | 2020-11-13 | 北京航空航天大学 | Satellite-borne image processor and processing method for remote sensing image target characteristic identification |
| CN112033960A (en) * | 2020-08-28 | 2020-12-04 | 大连海事大学 | Kelvin trail visible light remote sensing imaging method and system |
| CN112033960B (en) * | 2020-08-28 | 2023-06-13 | 大连海事大学 | Kelvin trail visible light remote sensing imaging method and system |
| CN112330562A (en) * | 2020-11-09 | 2021-02-05 | 中国人民解放军海军航空大学 | Heterogeneous remote sensing image transformation method and system |
| CN112330562B (en) * | 2020-11-09 | 2022-11-15 | 中国人民解放军海军航空大学 | Heterogeneous remote sensing image transformation method and system |
| CN117557466A (en) * | 2024-01-11 | 2024-02-13 | 中国科学院空天信息创新研究院 | Optical remote sensing image target image enhancement method and device based on imaging conditions |
| CN117557466B (en) * | 2024-01-11 | 2024-04-09 | 中国科学院空天信息创新研究院 | Optical remote sensing image target image enhancement method and device based on imaging conditions |
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