CN110191335A - Remote sensing camera evaluation of imaging quality and analogue system - Google Patents
Remote sensing camera evaluation of imaging quality and analogue system Download PDFInfo
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Abstract
The present invention proposes a kind of remote sensing camera evaluation of imaging quality and analogue system, comprising: emulation module and quality assessment module, bore in quality assessment module is connect with optics basic parameter module, parameter detector module and signal-to-noise ratio simulation analysis module respectively with MTF module, and optics basic parameter module is connected with parameter detector module；Parameter detector module is for obtaining parameter detector；Signal-to-noise ratio simulation analysis module goes out pixel area, signal electron number shared by transmissivity of optical system, target, noise electron number and signal-to-noise ratio for simulation analysis.Compared with the prior art the beneficial effects of the present invention are: the system can export imaging simulation effect and evaluation of imaging quality based on photoelectric parameter, the design risk of electro-optical system can be reduced, it can give and instruct in camera properties and the planning balance on design cost, shorten the R&D cycle.
Description
Technical field
The present invention relates to photoelectric imaging technology fields, and in particular to a kind of remote sensing camera evaluation of imaging quality and emulation are
System.
Background technique
Optical remote sensing camera suffers from extensive demand in military and civilian field, and it is fast that this obtains remotely sensed image technology
Speed development.Remote sensing camera just towards high-resolution, develop by high imaging quality, small-sized and good environmental suitability direction.
Optical remote sensing camera imaging quality is by carrying platform control technology, Track desigh, atmospheric environment, target property, CCD
The influence of many factors such as detector performance or cmos detector performance, optical system, Machine Design.
Therefore, need to consider many factor and each factor when designing the electro-optical system overall plan of optical remote sensing camera
Between influence each other, and the case where lack good remote sensing camera evaluation of imaging quality and analogue system in the prior art
Under, there are the design risk of electro-optical system is big, camera properties are difficult to balance with the planning on design cost, and the R&D cycle is long etc. to ask
Topic.
It further, is the image quality for improving remote sensing camera, optical remote sensing Imaging Simulation System has become aerial camera
The important component of overall technology plays a crucial role in terms of design, manufacture, assembly, maintenance and the system integration.
But the external sensibility of many advanced remotely sensed image simulation softwares militarily, support is not provided to the country.Therefore, domestic
The research of this aspect is also being reinforced, but, since existing optical remote sensing camera imaging analogue system still mostly uses physics imitative
True mode, and physical simulation method can only be for specific simulation stage and emulation purpose, and l-G simulation test is at high cost, debugging week
Phase is long.
Therefore, further research and development as the remote sensing camera evaluation of imaging quality of core and can be imitated in Computer Simulation mode
True system is very urgent, and it is desirable that new remote sensing camera evaluation of imaging quality and analogue system can be utilized in computer
Generated all or part parameter is analyzed in simulation process, to make evaluation to remote sensing camera image quality, to drop
The rule of the design risk of low electro-optical system, remote sensing camera evaluation of imaging quality and analogue system in camera properties and design cost
It draws to balance to give and instruct, be conducive to improve research and development progress, be conducive to shorten the R&D cycle.
Summary of the invention
In order to which the electro-optical system design risk for solving optical remote sensing camera in the prior art is big, camera properties and design cost
On planning be difficult to balance, the problems such as R&D cycle is long, the present invention provides a kind of remote sensing camera evaluation of imaging quality and emulation is
System comprising: quality assessment module and emulation module interconnected；
The emulation module is for completing the emulation of high pixel resolution to low pixel resolution；
The quality assessment module is used for evaluation of imaging quality, and the quality assessment module includes optics basic parameter mould
Block, parameter detector module, bore and MTF module and signal-to-noise ratio simulation analysis module, the bore and MTF module respectively with institute
State optics basic parameter module, the parameter detector module is connected with the signal-to-noise ratio simulation analysis module, the optics base
This parameter module is connected with the parameter detector module；
The parameter detector module is for obtaining parameter detector；
The signal-to-noise ratio simulation analysis module for simulation analysis go out pixel area shared by transmissivity of optical system, target,
Signal electron number, noise electron number and signal-to-noise ratio.
Preferably, the emulation module is according to the optical system parameter in processing alignment error and the quality assessment module
Obtain two-dimensional points spread function.
Preferably, the emulation module is also used to original full resolution pricture carrying out in-orbit simulation, the emulation module
By the way that original high-resolution image and two-dimensional points spread function are carried out convolution algorithm, to obtain and optical point spread function convolution
Image afterwards.
Preferably, the emulation module is for making the adopting using detector with the image after optical point spread function convolution
Spatial discrimination unit gap is aligned by sample process, to complete to emulate.
Preferably, the optics basic parameter module is according to this four groups of light of focal length, pixel dimension, pixel resolution and object distance
Any three kinds of parameters in the basic parameter of system obtain a kind of remaining parameter.
Preferably, the parameter detector module is connect with detector, the parameter detector module is for realizing detection
Mutual conversion between device size, covering length and width, detector pixel number and visual field size this four groups of data.
Preferably, the parameter detector module is cmos detector parameter module；The detector is cmos detector.
Preferably, the bore and MTF module are for obtaining optical sampling frequency ks, nyquist frequency kn, Nyquist
The value of MTFn at frequency, the bore and MTF module are also used to export MTF curve；
The calculation formula of the value of MTFn at the nyquist frequency are as follows:
Preferably, signal-to-noise ratio simulation analysis module pixel number N, optical surface quantity S according to shared by targetn, optics
Surface transmitance τ, time of integration t, quantum efficiency Qe, read noise Nr, integral series M, dark current electron number DeAnd pixel ruler
Very little a, focal length f and Entry pupil diameters D obtain signal electron number S by following three formula respectivelye, noise electron number NeAnd signal-to-noise ratio
SNR, calculation formula are as follows:
Preferably, the remote sensing camera evaluation of imaging quality and analogue system further include model database, the pattern number
Connect respectively with the quality assessment module and the emulation module according to library, the model database for store simulation model and
The data model of remote sensing camera electro-optical system parameter.
Compared with the prior art the beneficial effects of the present invention are:
The present invention proposes a kind of remote sensing camera evaluation of imaging quality and analogue system based on photoelectric parameter, in electro-optical system
It is comprehensive to an imaging simulation effect and evaluation of imaging quality based on photoelectric parameter before design scheme is decided, it can reduce
The design risk of electro-optical system is given with the planning balance on design cost in camera properties and is instructed, improves research and development progress, shorten
R&D cycle.
Detailed description of the invention
It to describe the technical solutions in the embodiments of the present invention more clearly, below will be to embodiment or description of the prior art
Needed in attached drawing be briefly described, it should be apparent that, the accompanying drawings in the following description is only of the invention some
Embodiment for those of ordinary skill in the art without any creative labor, can also be according to these
Attached drawing obtains other attached drawings.
Fig. 1 is optics basic parameter spatial relation graph in the present invention；
Fig. 2 is high-resolution ideal remote sensing images original in the present invention；
Fig. 3 is optical system point spread function figure in the present invention；
Fig. 4 be the present invention in the remote sensing images after optical point spread function convolution；
Fig. 5 be the present invention in the low resolution remote sensing images after emulating；
Fig. 6 is a kind of schematic diagram of remote sensing camera evaluation of imaging quality and analogue system in the present invention.
Appended drawing reference:
Optics basic parameter module 1, parameter detector module 2, bore and MTF module 3 and signal-to-noise ratio simulation analysis module
4。
Specific embodiment
Below in conjunction with attached drawing, the forgoing and additional technical features and advantages are described in more detail.
In the description of the present invention, it is to be understood that, term " first ", " second " are used for description purposes only, and cannot
It is interpreted as indication or suggestion relative importance or implicitly indicates the quantity of indicated technical characteristic.Define as a result, " the
One ", the feature of " second " can explicitly or implicitly include at least one of the features.In the description of the present invention, " multiple "
It is meant that at least two, unless otherwise specifically defined.
In the present invention unless specifically defined or limited otherwise, term " installation ", " connected ", " connection ", " fixation " etc.
Term shall be understood in a broad sense, for example, it may be being fixedly connected, may be a detachable connection, or integral；It can be mechanical connect
It connects, is also possible to be electrically connected or can communicate each other；It can be directly connected, can also indirectly connected through an intermediary, it can be with
It is the interaction relationship of the connection or two elements inside two elements, unless otherwise restricted clearly.For this field
For those of ordinary skill, the specific meanings of the above terms in the present invention can be understood according to specific conditions.
In the description of this specification, reference term " one embodiment ", " some embodiments ", " example ", " specifically show
The description of example " or " some examples " etc. means specific features, structure, material or spy described in conjunction with this embodiment or example
Point is included at least one embodiment or example of the invention.
In being described below, for illustration and not for limitation, the tool of such as particular system structure, technology etc is proposed
Body details, to understand thoroughly the embodiment of the present invention.However, it will be clear to one skilled in the art that there is no these specific
The present invention also may be implemented in the other embodiments of details.In other situations, it omits to well-known system, device, electricity
The detailed description of road and method, in case unnecessary details interferes description of the invention.
In the present specification, the schematic representation of the above terms does not necessarily have to refer to the same embodiment or example.
Moreover, particular features, structures, materials, or characteristics described can be in any one or more of the embodiments or examples with suitable
Mode combines.In addition, without conflicting with each other, those skilled in the art can be by difference described in this specification
The feature of embodiment or example and different embodiments or examples is combined.
Embodiment one
A kind of remote sensing camera evaluation of imaging quality provided in the present invention and analogue system are the remote sensing based on photoelectric parameter
Camera imaging quality evaluation and analogue system be capable of the parameter of focal length to optical remote sensing camera itself, photoelectric device and visual field into
The achievable imaging capability analysis of row, is divided including imaging resolution ability, image quality (biography letter, the signal-to-noise ratio of image) etc.
Analysis.The remote sensing camera evaluation of imaging quality and analogue system are started with from photoelectric parameter, especially by optics basic parameter module 1,
Parameter detector module 2, bore and MTF module 3, signal-to-noise ratio simulation analysis module 4 analyze each parameter to optical remote sensing camera
The role and influence of Imaging Resolution realize the evaluation of the quality of optical remote sensing imaging.
It is the remote sensing phase based on photoelectric parameter that a kind of remote sensing camera evaluation of imaging quality and analogue system are provided in the present invention
Machine evaluation of imaging quality and analogue system comprising: quality assessment module and emulation module interconnected, quality assessment module
Including optics basic parameter module 1, parameter detector module 2, bore and MTF module 3 and signal-to-noise ratio simulation analysis module 4.Mouthful
Diameter is connect with optics basic parameter module 1, parameter detector module 2 and signal-to-noise ratio simulation analysis module 4 respectively with MTF module 3,
Optics basic parameter module 1 and parameter detector module 2 connect.
One, optics basic parameter module
Optics basic parameter module 1 chooses focal length f, pixel dimension a, pixel resolution g for obtaining optics basic parameter
With the basic parameter of object distance H this four groups of optical systems, spatial relationship is as shown in Figure 1, it is known that wherein any three groups of data, by such as
Lower formula can acquire another set data.
Focal length f, pixel dimension a, pixel resolution g and object distance H this four groups of optical systems basic parameter can pass through control
Molding block obtains, or by being manually entered or being calculated.
Two, parameter detector module
Parameter detector module 2 is for obtaining parameter detector.Detector size and covering length and width are chosen, further combined with
Object distance H and focal length f in optics basic parameter module 1, when wherein one group of number of known wherein detector size or covering length and width
According to another group of parameter value can be obtained according to formula.Detector size includes detector width size WsWith detector length ruler
Very little Ls, covering length and width include cover width W and overlay length L.Calculation formula are as follows:
In parameter detector module 2, detector size and detector pixel number are chosen, in conjunction with optics basic parameter module
Pixel dimension a in 1, when known probes size or wherein one group of data of detector pixel number, according to following formula
Obtain another group of parameter value.Detector size includes detector width size WsWith detector length dimension Ls.Detector pixel number
Including detector pixel number Wnum, detector pixel number Lnum.Calculation formula are as follows:
In parameter detector module 2, covering length and width and visual field size are chosen, in conjunction in optics basic parameter module 1
Object distance H wherein covers length and width and visual field size wherein one group of data when known, can obtain another group of parameter according to following formula
Value.Covering length and width includes cover width W and overlay length L.Visual field size includes visual field size FxWith visual field size Fy.It calculates public
Formula are as follows:
Parameter detector in parameter detector module 2 can be obtained from detector, or by being manually entered, or be calculated
It obtains.
Preferably, parameter detector module 2 is cmos detector parameter module 2.Detector is cmos detector.
Three, bore and MTF module
Bore and MTF module are for obtaining optical sampling frequency ks, nyquist frequency kn, optical cut-off kcoAnd how
The value of MTFn at Qwest's frequency.
In bore and MTF module 3, in conjunction with the pixel dimension a in optics basic parameter module 1, it can be obtained according to following formula
To optical sampling frequency ksAnd nyquist frequency kn.Calculation formula is as follows:
Optical cut-off k can be obtained by Entry pupil diameters D, wavelength X and focal length f according to following formulaco。
In bore and MTF module 3, the value of MTFn at nyquist frequency can be sought according to following formula.
The calculation formula of the value of MTFn can fast and accurately calculate MTFn at nyquist frequency at nyquist frequency
Value.
Bore and MTF module 3 can also draw MTF curve.
Four, signal-to-noise ratio simulation analysis module
Signal-to-noise ratio simulation analysis module 4 goes out for simulation analysis: pixel area shared by transmissivity of optical system, target, letter
Number electron number, noise electron number and signal-to-noise ratio.
Signal-to-noise ratio simulation analysis module 4 pixel number, optical surface quantity according to shared by target, optical surface transmitance, product
Between timesharing, quantum efficiency, reads noise and dark current electron number simulation analysis and go out pixel face shared by transmissivity of optical system, target
Product, signal electron number, noise electron number and signal-to-noise ratio.
Signal-to-noise ratio simulation analysis module 4 pixel number N, optical surface quantity S according to shared by targetn, optical surface transmitance
τ, time of integration t, quantum efficiency Qe, read noise Nr, integral series M, dark current electron number DeAnd pixel dimension a, focal length f
With Entry pupil diameters D, signal electron number S can be obtained respectively by following three formulae, noise electron number NeAnd Signal to Noise Ratio (SNR).
It can make 4 quick execution simulation analysis function of signal-to-noise ratio simulation analysis module by above-mentioned formula.Make total quality
It is more accurate to evaluate.
Remote sensing camera evaluation of imaging quality and analogue system further include emulation module, and emulation module can pass through optical system
Parameter and processing alignment error obtain two-dimensional points spread function, and two-dimensional points spread function will be as shown in figure 3, then, emulation module will
Original full resolution pricture is (as shown in Figure 2) to carry out in-orbit simulation, by by original high-resolution image and two-dimentional point spread function
Number carries out convolution algorithm, can be obtained and the remote sensing images after optical point spread function convolution.After optical point spread function convolution
Remote sensing images as shown in figure 4, with the remote sensing images after optical point spread function convolution using the sampling of cmos detector
Spatial discrimination unit gap is aligned by journey, to complete the emulation of highland face pixel resolution to low land face pixel resolution, is obtained
The simulated effect arrived, simulated effect are as shown in Figure 5.Optical system parameter can be joined by optics basic parameter module 1, detector
Digital-to-analogue block 2, bore and MTF module 3 and signal-to-noise ratio simulation analysis module 4 obtain.
The quality evaluation of optical remote sensing camera imaging and analogue system based on photoelectric parameter are built by a large amount of l-G simulation test
The data model of vertical optical remote sensing camera electro-optical system parameter, and be added in the model database of the system.Remote sensing camera imaging
Quality evaluation and analogue system further include model database.
The present invention proposes a kind of remote sensing camera evaluation of imaging quality and analogue system based on photoelectric parameter, in electro-optical system
It is comprehensive to an imaging simulation effect and evaluation of imaging quality based on photoelectric parameter before design scheme is decided, it can reduce
The design risk of electro-optical system is given with the planning balance on design cost in camera properties and is instructed, improves research and development progress, shorten
R&D cycle.
In order to illustrate technical solutions according to the invention, the following is a description of specific embodiments.
Embodiment described above is merely illustrative of the technical solution of the present invention, rather than its limitations；Although referring to aforementioned reality
Applying example, invention is explained in detail, those skilled in the art should understand that: it still can be to aforementioned each
Technical solution documented by embodiment is modified or equivalent replacement of some of the technical features；And these are modified
Or replacement, the spirit and scope for technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution should all
It is included within protection scope of the present invention.
Claims (10)
1. a kind of remote sensing camera evaluation of imaging quality and analogue system, characterized in that it comprises: quality evaluation interconnected
Module and emulation module；
The emulation module is for completing the emulation of high pixel resolution to low pixel resolution；
The quality assessment module is used for evaluation of imaging quality, and the quality assessment module includes optics basic parameter module, visits
Survey device parameter module, bore and MTF module and signal-to-noise ratio simulation analysis module, the bore and MTF module respectively with the light
Basic parameter module, the parameter detector module are connected with the signal-to-noise ratio simulation analysis module, and the optics is joined substantially
Digital-to-analogue block is connected with the parameter detector module；
The parameter detector module is for obtaining parameter detector；
The signal-to-noise ratio simulation analysis module goes out pixel area, signal shared by transmissivity of optical system, target for simulation analysis
Electron number, noise electron number and signal-to-noise ratio.
2. remote sensing camera evaluation of imaging quality as described in claim 1 and analogue system, which is characterized in that the emulation module
Two-dimensional points spread function is obtained according to the optical system parameter in processing alignment error and the quality assessment module.
3. remote sensing camera evaluation of imaging quality as claimed in claim 2 and analogue system, which is characterized in that the emulation module
It is also used to carry out original full resolution pricture in-orbit simulation, the emulation module is by by original high-resolution image and two dimension
Point spread function carries out convolution algorithm, to obtain and the image after optical point spread function convolution.
4. remote sensing camera evaluation of imaging quality as claimed in claim 3 and analogue system, which is characterized in that the emulation module
For making the sampling process with the image after optical point spread function convolution using detector, by spatial discrimination unit gap pair
Together, to complete to emulate.
5. remote sensing camera evaluation of imaging quality and analogue system as described in any in claim 1-4, which is characterized in that described
In basic parameter of the optics basic parameter module according to this four groups of optical systems of focal length, pixel dimension, pixel resolution and object distance
Any three kinds of parameters obtain a kind of remaining parameter.
6. remote sensing camera evaluation of imaging quality as claimed in claim 5 and analogue system, which is characterized in that the detector ginseng
Digital-to-analogue block is connect with detector, and the parameter detector module is for realizing detector size, covering length and width, detector pixel number
Mutual conversion between visual field size this four groups of data.
7. remote sensing camera evaluation of imaging quality as claimed in claim 6 and analogue system, which is characterized in that the detector ginseng
Digital-to-analogue block is cmos detector parameter module；The detector is cmos detector.
8. remote sensing camera evaluation of imaging quality as claimed in claim 6 and analogue system, which is characterized in that the bore with
MTF module is for obtaining optical sampling frequency ks, nyquist frequency kn, at nyquist frequency MTFn value, the bore with
MTF module is also used to export MTF curve；
The calculation formula of the value of MTFn at the nyquist frequency are as follows:
9. remote sensing camera evaluation of imaging quality as claimed in claim 6 and analogue system, which is characterized in that the signal-to-noise ratio is imitative
True analysis module pixel number N, optical surface quantity S according to shared by targetn, optical surface transmitance τ, time of integration t, quantum effect
Rate Qe, read noise Nr, integral series M, dark current electron number DeAnd pixel dimension a, focal length f and Entry pupil diameters D, by following
Three formula obtain signal electron number S respectivelye, noise electron number NeAnd Signal to Noise Ratio (SNR), calculation formula are as follows:
10. remote sensing camera evaluation of imaging quality and analogue system as described in claim 1-4 is any, which is characterized in that described
Remote sensing camera evaluation of imaging quality and analogue system further include model database, and the model database is commented with the quality respectively
Valence module is connected with the emulation module, and the model database is for storing simulation model and remote sensing camera electro-optical system parameter
Data model.
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| CN112073711A (en) * | 2020-08-25 | 2020-12-11 | 上海龙旗科技股份有限公司 | Method, system and equipment for simulating and debugging camera performance parameters of intelligent equipment |
| CN112073711B (en) * | 2020-08-25 | 2022-03-04 | 上海龙旗科技股份有限公司 | Method, system and equipment for simulating and debugging camera performance parameters of intelligent equipment |
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