CN104297814A - Machine perspective vision implementation method - Google Patents
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- CN104297814A CN104297814A CN201410570417.1A CN201410570417A CN104297814A CN 104297814 A CN104297814 A CN 104297814A CN 201410570417 A CN201410570417 A CN 201410570417A CN 104297814 A CN104297814 A CN 104297814A
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Abstract
Provided is a machine perspective vision implementation method. The brightness temperatures of an object in different frequency bands are detected through a multi-band microwave radiometer after basic information is recognized, and then the density or temperature or texture of the inner portion of the object is inverted relying on a layered model and through the combination of known information and priori presumption (a-priori). Microwaves of different frequencies have different drilling depths, function relationships exist between the brightness temperatures of all frequencies and density distribution, real temperature distribution and dielectric parameters, and therefore unknown information can be inverted through part of the known information and through measurement, and constraints are achieved through a-priori. The number of channels should not be smaller than the number of parameters to be detected. For some objects without layered structures, each object can be divided into objects of the layered structure on the aspect of geometry so that inversion can be conducted. In order to decrease the calculation amount, a data base for related densities, dielectric constants and the like can be established for an ordinary object; the known parameters of the object can be found and inquired about by initially recognizing the object, and then inversion can be conducted.
Description
Technical field
The invention belongs to machine vision and microwave technical field, particularly relate to the technical method that a kind of remote noncontact obtains interior of articles information.
Background technology
About machine and robotic vision, the past mainly rests on bionical basis, is devoted to allow robot can obtain the image of object, motion being identified by camera.
But this kind of vision means and equipment are only limitted to visible ray or infrared scope for the spectrum sensing range of object, the wavelength of these light is very short, bore the degree of depth very low, visible ray does not bore the degree of depth substantially, infrared light also only can arrive the depth distance of about a millimeter under body surface, and therefore these methods all can not obtain the information of interior of articles.
Past needs special X ray way or nuclear magnetic resonance way for the acquisition of interior of articles information.Be specifically described as follows.
The first is the X ray of medically widespread use, and according to wave-particle duality principle, X-ray energy is high, and corpuscular property is strong, has very high energy and bores saturating ability.The method producing X ray uses the electron impact metallic target after accelerating.In knockout process, electronics slows down suddenly, and the kinetic energy of its loss can be released with form of photons, forms the continuous part of X ray spectrum, is referred to as bremsstrahlung radiation.By strengthening accelerating potential, the energy that electronics carries increases, then likely by knocking-on for the inner electron of metallic atom.So internal layer forms hole, outer-shell electron transition is returned internal layer and is filled up hole, and emit wavelength is at the photon of 0.1 ran simultaneously.The energy of releasing due to outer-shell electron transition is quantized, so the wavelength of the photon of releasing also concentrates on some part, define the characteristic curve in X-ray spectrum, this is called characteristic radiation.But X ray exists three problems can not be used for machine vision:
1. pair biosome infringement is large, and namely general human body repeatedly accepts X ray larger danger.
2. receiving mode detects through light, needs there is receiving screen over there, therefore need special X-ray room, cannot be used for the observation vision of robot to object.
3. must be initiatively launch active probe, equipment be difficult to miniaturization, and in nature daily life, normal object initiatively can not launch X ray.
The second is Magnetic resonance imaging.Utilize nuclear magnetic resonance (nuclear magnetic resonance, be called for short NMR) principle, according to the decay that the energy discharged is different in the inner different structure environment of material, the electromagnetic wave launched is detected by additional gradient magnetic, can learn and form the nuclear position of this object and kind, the structural images of interior of articles can be depicted as accordingly.But nuclear magnetic resonance needs object to be placed into special system interscan.Its imaging system is a huge cylindric machine, the environment of a strong field regions can be manufactured around person under inspection, hydrogen nuclei in the pulse strikes soma of radiowave, change the arrangement of hydrogen atom in health, when hydrogen atom gets in position arrangement again, can send radio signals, this signal is also analyzed and conversion process by the reception of computer, can be movable by the hydrogen atom in body make-up and organ, convert 2D image to.Therefore, it also cannot be applied to robot vision, because observed object is not by robot is controlled, to observe buildings, this buildings cannot be needed to be placed in robot for observing.The equipment cost of nuclear magnetic resonance and use cost are also all very high.
In fact except above two kinds of means, low frequency microwave remote sensing also has penetrability.Microwave remote sensing mainly utilizes infrared beam to be projeced into body surface, and the microwave wavelength change be reflected back by it and colour cast determine the technology of its size, form and translational speed.On the earth, various object can produce reflection to external microwave signal, and object itself also has microwave emissivity.Microwave remote sensing be exactly by detecting object to micro-wave reflection or the microwave of self, carry out perceptual object Morphology and structure tissue.
According to the difference of principle of work, microwave remote sensing equipment can be divided into two large classes, and a class is active remote sensing device, i.e. detecting devices initiatively launched microwave signal, and then the signal receiving detected target reflection or scattering carrys out perception detected target, the similar known radar of its principle of work.Another kind of is passive remote sensing device, and its principle of work is similar to spectral detection device, namely adopts highly sensitive microwave receiving technology, the microwave signal that receiving target itself is faint.Current active microwave remote sensing device in the world has microwave scatterometer, microwave altimeter, synthetic aperture radar (SAR) and real aperture radar etc., passive remote sensing device mainly microwave radiometer.
Recognize in the practice of Satellite microwave remote sensing in recent years, when moisture is low, low frequency microwave can through vegetation, ice and snow and dry sandy soil, to obtain following soil information near the ground.
But this characteristic is not used specially at present, certainly do not have to be applied to daily machine vision yet.Because, microwave remote sensing is all based on aerial remote sensing aeroplane or remote sensing satellite at present, mainly contrasted by the standard picture of some reference materials under the remote sensing images of certain wave band that obtain and this wave band, to identify the object type on remote sensing images, there is following problem in it: 1. the bright temperature image that microwave obtains is difficult to explain, the bright temperature that microwave obtains is relevant to a large amount of factor, material, density, specific heat, specific inductive capacity etc., therefore in general remote sensing, only bright temperature is used for as one the parameter that contrasts with standardized object, contrasted by the standard picture of some reference materials under the remote sensing images of certain wave band that obtain and this wave band, to identify the object type on remote sensing images, such as vegetation or soil, numerical value itself does not possess concrete physical significance, and in daily life, such contrast is just unnecessary, because visible ray just can tell object, 2. although have been found that in microwave remote sensing that microwave can obtain following information near the ground, but this information is substantially nonsensical for remote sensing, remote sensing object is land and ocean substantially, that soil or lake, ocean all have large water gaging to exist, and water (humidity, water vapor) greatly can absorb microwave, its investigation depth in satellite remote sensing is made to be no more than several centimetres, and the several centimetres of degree of depth of soil and ocean and top layer do not have difference substantially, main purposes is at most just through the ice and snow of covering, sand and dust, grass vegetation obtains soil types information, application surface is narrow, so there is no develop related art method accordingly.
Summary of the invention
For the problems referred to above, in the present invention, propose a kind of new technical scheme, for a kind of new equipment of penetration capacity design of low frequency microwave, and the bright temperature data being difficult to explain are explained specific actual physical amount by some ways.
The technical program is after obtaining necessary essential information, first the microwave region of the different frequency of detecting object transmitting or reflection is carried out by having multichannel Microwave sounder, (if the words of active microwave detection instrument are to be reflected into master), the distribution of its channel can according to object type to be detected and stratified energy mechanism, such as, for buildings, such as 200MHZ can be set, 1GHZ, 2GHZ, 4GHZ equifrequent wave band, the lower wavelength of its medium frequency is longer, investigation depth is darker, do not having in too juicy situation, the channel of 200MHZ can obtain the signal from several meters of dark inner bodies of wall.How many frequency bands are set and should depend on the quantity of the unknown parameter of conventional application scenarios and the hierachy number of object under test, if the distribution of the thermal source such as its heating system will be judged from the internal physical Temperature Distribution of an external detection buildings, suppose that this building surface number centimetre is ceramic tile, several tens cm is concrete afterwards, in addition be the words of steel composites structure afterwards, inner one deck is again concrete again, then body of wall to be detected for this buildings can be divided into 4 layers, (the air layer parameter inside and outside body of wall is known), the physical temperature of 4 layers is all unknown, be set to T1, T2, T3 and T4, note, wherein each T is not a numerical value, but a two-dimensional matrix, the actual temperature of a coordinate on the corresponding interior of building one deck of each element in two-dimensional matrix.Can be interpreted as approx, each T corresponds to a plane picture.Known in other parameters, time as all known in every layer of density and specific inductive capacity, then at least should design the look-in frequency of more than 4, can be four above-mentioned frequency bands, if but there is unknowm coefficient, density as composite construction layer is also failed to understand, then more frequency range should be set, channel quantity should be no less than the quantity (being now well-posed situation) of parameter to be measured, certainly, frequency band is more, and the information parameter that can obtain is more and more accurate (now for overconstrained situation).Therefore, when being applied to machine vision, should on cost design with the tolerance of volume many as far as possible, distribute the frequency range (distribute and should stagger, otherwise penetration depth is approximate be unfavorable for follow-up under operation) staggered as far as possible.
By the above microwave detector by the bright temperature distribution of acquisition object for different frequency wave band, why being referred to as distributes is because the bright temperature of each channel is not a numerical value yet, also be two-dimensional matrix, each coordinate of object under test corresponds to a numerical value, drawing out is an image, it is similar for seeing that object zones of different had different colours under visible light with the past, the bright temperature of microwave that the object of zones of different is launched or reflected also is different, if for the above-mentioned body of wall mentioned, each wavelength period can demonstrate a bright temperature image.This bright temperature is not temperature, but has the same unit with temperature, and the bright temperature that each wavelength is corresponding is different.
Certainly, the bright temperature image values of these different-wavebands is different, but seems that shape etc. is much the same often, because the bright temperature of each frequency contains the information from each degree of depth, so the information such as focus, cold spot are basically identical.And satellite microwave in the past detects this step of often also arriving, study result of detection as SOIL DISTRIBUTION etc. according to its shape comparison.
But, in fact, for the bright temperature of different frequency, composition from the information of different depth is different, if we can carry out information separated to the bright temperature image that these shapes seem similar different-waveband, density or the Temperature Distribution of each physical depth can be isolated, thus the bright temperature without exact physical meaning is translated into real physical parameter.Present invention employs following method to realize this object.
As above described in buildings case, object is supposed the layer in order to segment one by one when inverting by us, the bright temperature B for different frequency wave band that detector receives regards that these layers segmented superpose for the contribution of the bright temperature of different frequency wave band as, the temperature T that the contribution of every one deck can be expressed as each layer is multiplied by each layer contribution proportion F, contribution proportion F is the density p of this layer and the function of dielectric function ε (Dielectric Permittivity), according to system of equations " layer of the bright temperature=segmentation for different frequency wave band received is multiplied by contribution proportion for superposition=each layer physical temperature of the bright temperature of different frequency wave band ", i.e. B=FT system of equations, wherein B and F and T are all matrixes, can the physical temperature or density etc. of each layer of inverting according to system of equations.Suppose that device measuring error matrix is S, then the general solution that the algorithm of inverting provides is:
T=(F
TS
-1F)?
-1F
TS
-1B
Wherein F
trepresent the transposed matrix of F, S
-1represent the inverse matrix of S, (F
ts
-1f)
-1represent (F
ts
-1f) inverse matrix.
So just can try to achieve according to B, S and T and be detected the inner. layers temperature of object.Wherein S dispatches from the factory except demarcation except relying on, and can carry out immediate assessment according to the mensuration of two known reference materials.
The composition error S of acquired results
tfor S
t=(F
ts
-1f)
-1
If is so the density of inside also unclear? if create known variables in F, now, only need to increase detection channel, obtain more equation.As long as there is abundant detection channel, just unknown parameter can be offset with abundant equation.
If what if there is disturbance in the hierarchy so running into object? such as, in the problems referred to above, the pipeline of various laying may be had as water pipe etc. in indoor concrete layer, the position of these pipelines is unknown before detection, and the density of its position has been presumed to be concrete density in processes, will cause the temperature anomaly obtained like this, now, need to carry out iterative computation (iteration), namely once calculate and can not solve, repeatedly need calculate and ask approximate solution.Pipeline is had by indoor concrete layer for above-mentioned, calculate when first time the region presenting abnormal temperature distribution, then the Temperature Distribution solved this part region foundation is known, and it is unknown for changing density function, so repeatedly carry out iterative computation, until there is the solution that coupling is stable.
If so run into some objects what if do not possess hierarchy again? now, it can be studied inverting respectively being geometrically first split as the object one by one with respective hierarchy, very complicated object is split for geometry, can computer program split.In a word, above-described hierarchy is the model of the elementary cell calculated, and the object for complexity finally can be summed up in the point that and elementary cell is processed.Certainly, even if there is abundant detection channel, the calculated performance that perspective is resolved in the inside of complex object to be needed is still larger, the process of inventor's designed system to an example can be mentioned in concrete case study on implementation below, under high performance Fortran language, the workstation of an i7 processor still takes the time of 20 hours, has just finally obtained all thermal source distribution results of the inside of this object.
In theory, if there is enough strong computing power, by many as far as possible and the frequency band be in staggered distribution, enough iterative computation, careful fractionation, the perspective demand of most object can be solved.
The type of Microwave sounder should resolution as required determine to adopt active type or passive type.Active microwave detector, i.e. detecting devices initiatively launched microwave signal, and then the signal receiving detected target reflection or scattering carrys out perception detected target, similar radar.Passive microwave detector principle of work is then similar to spectral detection device, namely adopts highly sensitive microwave receiving technology, the microwave signal that receiving target itself is faint.The spatial resolution of passive detection is lower, is not suitable for small-sized object detection.As little in object under test, interference is large, and active microwave should be adopted to detect.
In practical operation, following way also should be adopted to impose restriction further, reduce error: use a priori assumption (a-priori), the default (often a matrix) treating inverted parameters is provided by various Given information, then this priori assumption is carried out inverting together with bright temperature be actually detected etc., provide the most probable solution (most probable solution) treating inverted parameters.Because if do not comprised a-priori, directly according to measured value inverting, even if often use very multifrequency wave band to carry out this under operation, its error can be still very large.
Or for buildings recited above perspective, assuming that we according to other Given informations as engineering data has guessed the distribution function T of a temperature
a, and provide this T
aerror (error coviarance) be S
a, then new solution computing formula is:
T=T
A+(F
TS
-1F+S
A -1)?
-1F
TS
-1(B-FT
A)
After applying a-priori, be equivalent to combine measurement and Given information, the solution more optimized can be provided.Certainly, accurately S and S is provided
avery important, if S i.e. measuring error are very large, and S
anamely the error of Given information solution is considered to very little, and that result will very close to the T guessed according to Given information
a.Otherwise then close to T.
In order to reduce calculated amount as far as possible, or reduce unknown parameter, we also can set up relevant database to familiar object, comprise specific inductive capacity or the information such as density or specific heat of familiar object, directly to inquire about when inverting.The density, specific inductive capacity etc. of many familiar things often all can be found.And want the roughly classification of judgment object, or perhaps what words, also can notify that the pre-treatment step of a machine vision completes, such as, before inverting first by other detection ways as visible ray, infrared light tentatively identify being detected object, determine being detected things is what, then identify that the information such as the outward appearance obtained inquire about associated materials, specific inductive capacity, density structure etc. in the machine or internet database according to preliminary.The parameter information that as far as possible can inquire is obtained by inquiry, to alleviate Inversion Calculation amount.
In some cases, object is that unknown material is formed, at this moment can first by the surface emitting of spectrometer detection testee or the spectrum of reflection before inverting, according to the spectral information obtained with the anti-material composition pushing away object of spectral model (often line spectrum model), and then obtain specific inductive capacity distribution.Than buildings case described above, one deck of most surface is ceramic tile, and the material of ceramic tile its specific inductive capacity different will be different, use spectrometer first can distinguish its distribution of material, thus obtains specific inductive capacity and the density of ceramic tile layer.
In some cases, the surface temperature of object is unknown, now can be measured as infrared radiometer by radiometer and obtain.
Many appliance arrangements can be designed according to above-mentioned method, give smart machine or robot with the 3D visual capacity of seeing through objects inside.
Typically, as shown in Figure 1, a system being applied to robot perspective vision has the Microwave sounder (1) of a multiband array, wave band should stagger as far as possible, more than one camera (2), a computing equipment (4), the annex network equipment, the workflow of system is: the outward appearance or the surface information (6) that are obtained object by camera, carry out searching for according to this part information again or by the network equipment to data base querying, thus obtain the given data of object, and obtain the bright temperature of object for different-waveband by multiwave Microwave sounder in the mode of the microwave (5) receiving object under test transmitting or reflection, then corresponding hierarchy (7) is divided into and the density of the inside of inverting object or Temperature Distribution (8) by computing equipment according to above-mentioned method.
For the object of self-assembling formation, because its surface often has continuity with inner material composition, now system also can with a spectrum detection instrument (3), for obtaining the spectrum of object emission or reflection, this spectroscopic data is used for the composition of inverting body surface, and then supposes the material composition of interior of articles according to certain model.Namely material composition determines the distribution of specific inductive capacity after determining.If the temperature of body surface is unknown, a radiometer (Radiometer) or infrared thermometer also can be comprised to obtain the temperature of body surface.
Apply this equipment and can obtain many internal informations that technology in the past cannot obtain, such as, with above-mentioned buildings case, only need to carry out remote non-contacting observation by the robot of this equipment of equipment, just can obtain thermal source distribution (and then the thermoelectric structure of deducibility inside or mankind's activity) of interior of building, pipeline distribution and situation, all significant for engineering, military affairs, medical observation, daily life.
beneficial effect
Compared with machine vision technique scheme before, the technical program has the following advantages:
1. have an X-rayed.The information such as internal density distribution, inner structure, internal heat resource distribution of object or buildings can be obtained, no longer stay in surface.
2. harmless.Do not destroy, do not affect object under test.Do not need contact measured object, can perspective be completed.
3. low cost.For some remote objects, or high-altitude object, or extraterrestrial object, if will drill on the spot, cost with 10,000,000,000 dollars of calculating, and may adopt this method, and cost that can be extremely low obtains more fully result.
4. safety.Can judge that buildings or blindage internal heat resource are as personnel positions at a distance, for anti-terrorism, national defence, maintained public order very large help.
5. convenient and to health.Checking oneself equipment as manufactured health based on the present invention, can implementing to check harmlessly, can go to a doctor in time when finding neoplasia (density anomaly) or vascular problem (local vascular temperature anomaly).
6. round-the-clock, round-the-clock.By the impact of the weather such as cloud layer, thick fog, also not by the restriction of day and night illumination condition change.
Embodiment
In specific embodiment of the invention case, inventor has manufactured the system that realizes said method, and system band is just like lower part: the microwave detector of multiband, spectrometer, radiometer, camera, computer program.
This multi-frequency microwave detector has 4 look-in frequencies, is respectively 120MHZ, 450MHZ, 1GHZ, with 5GHZ.There are aggressive mode and Passive Mode, in case study on implementation, adopt Passive Mode.
Spectrometer is an imaging spectrometer.
The infrared radiometer of measured surface temperature is counted in radiation.
Program uses Fortran to write.Owing to being in the sample stage, only comprise the function to some object of observation bespoke and library at present, directly can't observe arbitrary object.
There is the application case that the mineral block burying radioactive heat source in inside is viewed as this system to a drying, apply the location that native system carries out non-contacting inner radiation source hot in nature in this example.
First this mineral block is observed by camera in force, and inquire about multi view image, mineral block type is confirmed after comparison, according to the general formation condition of the type and then to this block founding mathematical models, model is divided into six layers, ground floor is the weathering scrim layer on surface, and the second layer is the clay seam formed various years to layer 5, and layer 6 is lithosphere.Every one deck all has respective density p i Two dimensional Distribution and temperature Ti Two dimensional Distribution.Mainly need to rely on heat distribution to judge owing to finding radioactive heat source, therefore approximate assumed density is every layer of numerical value, to reduce parameter.
Then mineral upper and lower surface mineralogical composition is observed by spectrometer, obtain the iron distribution of this spheroid, mineral mainly density and iron content larger for the impact of specific inductive capacity, each layer component material that side profile obtains mineral is observed again by spectrometer, and the thickness of every layer (degree of depth), roughly determine the density of each layer.Assuming that iron continuous distribution in object, infer the distribution two-dimensional matrix of each layer specific inductive capacity of object together in conjunction with each layer density according to Surface Fe distribution.
Secondly infrared radiometer obtains the Two dimensional Distribution (T1, T6) of the temperature of upper and lower surface.It is to be solved for the second layer is to the Temperature Distribution (T2, T3, T4, T5) of layer 5.(noting: temperature T herein refers to the two-dimensional matrix of the distribution of the actual temp of inner this layer of upper each mesh coordinate position, and drawing out is a two dimensional image, is never single numerical value)
Four different-wavebands according to microwave detector obtain four brightness temperatures, TB1, TB2, TB3 and TB4 respectively.
Program part is write in Fortran based on following physical principle: first according to fluctuation-dissipation theorem (fluctuation dissipation theorem, and dyadic Green's function FDT), obtain the relation of bright temperature and each layer actual temperature in hierarchical system, see accompanying drawing 2.Concrete parameter interpretation all has explanation in relevant accompanying drawing illustrates.
According to inversion theory, treat that inverted parameters T is T=[T2, T3, T4, T5], but measured value is not now the B of bright temperature own in this example, if note B is B=[TB1, TB2, TB3, TB4], then actual measured value is now that B deducts the contribution on top layer and the contribution of bottom, the contribution of namely measured value Y=(B-TB top layer contribution-TB bottom)=F*T.This is the actual physics distribution owing to wherein being obtained top layer and bottom by infrared radiometer, and the contribution on top layer and the contribution of bottom all directly can calculate acquisition, and therefore now Y is only measured value, i.e. measurement vector.
Wherein the expansion of Y is shown in shown in accompanying drawing 3.Concrete parameter interpretation all has explanation in relevant accompanying drawing illustrates.
Now according to T=(F
ts
-1f)
-1f
ts
-1y we obtain the inversion result of T.T2-T3 is all less than abnormal, and radioactive heat source is mainly at layer 5, and according to the 4th the parameter T5 of T, we can find heat source position, output on image, as shown in Figure 4 by T5 according to transverse and longitudinal coordinate.The unit of colourity bar is degree Celsius.The Temperature numerical that wherein black part is corresponding higher, the namely place, position of internal heat resource.According to the image of T5, can know that the position in inner radiation source hot in nature is at stain place, the upper right corner.
The Another Application case of native system is exactly the buildings of setting forth in summary of the invention part.Its hierarchical model is also set forth in summary of the invention part.After the process through the implementation case system, (concrete computation process repeats no more with handling object is above similar), we obtain the thermal source distribution in buildings.
The foregoing is only the preferred embodiments of the present invention, be not limited to the present invention, for a person skilled in the art, the present invention can have various modifications and variations.Within the spirit and principles in the present invention all, any amendment done, equivalent replacement, improvement etc., all should be included within protection scope of the present invention.
figure of description explanation
Fig. 1. method and system schematic diagram.Wherein 1 is multiband microwave detector, the number of picture just citing on figure, actual can be any multiband, and 2 is camera, the number of picture just citing on figure, 3 is optional infrared radiometer or spectrometer, the number of picture just citing on figure, and 4 is computation processor, 5 is the microwave transmitted, 6 is object under test, 7 virtual hierarchy for carrying out when measuring targets calculates, and 8 is thermal source or the density structure of object under test inside.
Fig. 2. measure the brightness temperature T obtained
bwith the actual physics temperature (T of every layer
1-T
6) graph of a relation.Wherein ε is the specific inductive capacity of each layer, and k represents the wave number (wave number) of each layer, and d represents the thickness of each layer, and e is the natural logarithm truth of a matter, subscript " represent and get its imaginary part, R in addition
ij=(k
iz-k
jz)/(k
iz+ k
jz), Q
ij=1+R
ij, the rest may be inferred.
Fig. 3. the expansion of Y, the concrete meaning of each parameter is in the explanation of Fig. 2.
Fig. 4. the layer 5 actual physics temperature results (T5) that case study on implementation inverting obtains.
Claims (10)
1. the implementation method of a perspective vision, preliminary detection and identify is carried out to being detected object by visible or infrared light, obtain essential information such as its physical dimension or external skin temperatures etc., and the microwave of the different frequency of object under test transmitting or reflection is measured by multifrequency Microwave sounder, obtain the bright temperature of an object for different frequency wave band, in conjunction with other Given informations or model, the Density Distribution of inverting interior of articles or the information such as Temperature Distribution or material structure.
2. a method according to claim 1, it is characterized in that, the method adopts following algorithm when inverting: first object is assumed to be the layer segmented one by one and (some is not possessed to the object of hierarchy, it can be given inverting more respectively being geometrically first split as the basic object one by one with hierarchy), the bright temperature of object of the different frequency wave band then received is the superposition of layer for the contribution of the bright temperature of different frequency of these segmentations, the contribution of every one deck can be expressed as each layer temperature and be multiplied by contribution proportion function, the density of contribution proportion function this layer often, specific inductive capacity, the function of thickness etc., according to system of equations " the bright temperature T for different frequency wave band received
bthe layer of=segmentation is for superposition=each layer physical temperature T of the bright temperature of different frequency wave band
ibe multiplied by each layer contribution proportion F
i" can the information such as physical temperature or density of each layer of inverting.
3. a method according to claim 1, it is characterized in that, the method also uses a priori assumption (a-priori), the default treating inverted parameters is provided by Given information, then this priori assumption is carried out inverting together with actual measured results, provide the most probable solution (most probable solution) treating inverted parameters.
4. a method according to claim 1, is characterized in that, the method also sets up relevant database to familiar object, comprises specific inductive capacity or the information such as density or specific heat of familiar object, directly to inquire about when inverting.
5. a method according to claim 1, it is characterized in that, the method also before inverting first by other detection ways as visible ray, infrared light tentatively identify being detected object, then identify that the information such as the outward appearance obtained inquire about associated materials, specific inductive capacity, density structure etc. in the machine or internet database according to preliminary.
6. a method according to claim 1, it is characterized in that, the method also first passes through the surface emitting of spectrometer detection testee or the spectrum of reflection before inverting, according to the spectral information obtained with the anti-material composition pushing away object of spectral model, and then obtains specific inductive capacity distribution.
7. a method according to claim 1, is characterized in that, the method also first obtains the temperature of body surface non-contactly before inverting by radiometer (Radiometer) or infrared thermometer or thermal infrared imager.
8. one kind realizes the system of method described in claim 1, it is characterized in that, system comprises multiwave Microwave sounder, camera, computing equipment, the network equipment, and other annexes, the workflow of system is: the outward appearance or the surface information that are obtained object by camera, carry out searching for according to this part information again or by the network equipment to data base querying, thus the given data of acquisition object is as material, composition etc., and obtain the bright temperature of object for different frequency by multiwave Microwave sounder, then by density or Temperature Distribution or the material structure information etc. of the inside of computing equipment inverting object.
9. realize a system for method described in claim 8, it is characterized in that, system is also with a spectrum detection instrument, and for obtaining the spectrum of object emission or reflection, this spectroscopic data is used for the composition of inverting body surface.
10. realize a system for method described in claim 8, it is characterized in that, system also obtains the temperature of body surface with radiometer (Radiometer).
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Cited By (2)
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|---|---|---|---|---|
| CN106124556A (en) * | 2016-06-08 | 2016-11-16 | 哈尔滨工业大学 | Thermal parameter inverting measurement apparatus based on thermal infrared imager |
| CN111309295A (en) * | 2020-03-12 | 2020-06-19 | 山东超越数控电子股份有限公司 | Inversion visualization method, device and readable storage medium for three-dimensional variable density constraint underground interface |
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