CN108387547A - A kind of survey spectrum compensation method of infared spectrum association remote sensing equipment - Google Patents
A kind of survey spectrum compensation method of infared spectrum association remote sensing equipment Download PDFInfo
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- G—PHYSICS
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- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
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- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
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Abstract
Compensation method is composed in the survey that remote sensing equipment is associated with the invention discloses a kind of infared spectrum, including (1) obtains tiMoment infared spectrum is associated with the internal operating temperature data T of remote sensing equipmenti, obtain the temperature change rule of infared spectrum association remote sensing equipment；(2) t is acquirediWhen inscribe multigroup infared spectrum association remote sensing equipment inside spectrum and external spectrum superposition spectroscopic data, obtain spectroscopic data average value at this temperature；(3) infared spectrum is established with the measured spectra statistical average at each temperature according to temperature change rule and is associated with the acquisition model composed inside remote sensing equipment；(4) model is solved using constraints, is obtained multiple with temperature TiIt composes the inside of variation；(5) according to practical outer field measurement the internal operating temperature of the infared spectrum association remote sensing equipment acquired when and multiple with temperature TiThe inside spectrum of variation obtains internal spectrum corresponding with the temperature during this time measures；External spectrum after being compensated according to the spectroscopic data of actual measurement internal spectrum corresponding with the temperature.
Description
Technical field
The invention belongs to the interleaving techniques fields of remote sensing equipment and spectrum analysis, more particularly, to a kind of infared spectrum
Compensation method is composed in the survey for being associated with remote sensing equipment.
Background technology
Infrared remote sensing spectra collection and analytical technology are one of qualitative and quantitative analysis technologies with fastest developing speed, in each neck
Domain is widely used, and is especially played a significant role in ingredient discriminating, fire alarm, environmental monitoring etc..
But in actual acquisition spectrum, since ambient temperature variation is associated with remote sensing instrument sheet with infared spectrum
Body powered operation generates the influence of the external conditions such as heat, can be brought to collection of illustrative plates association remote sensing instrument acquisition spectral information dry
It disturbs, influences the accuracy of infrared spectrometry and target identification.
For collection of illustrative plates association remote sensing instrument as equipment is accurately measured, survey spectrum result is influenced by ambient temperature, can be to instrument
Collected curve of spectrum analysis brings interference.It is intended to obtain high-precision survey modal data in field trial, needs accurate estimation by ring
Border temperature influences and the equipment inside spectral component of variation, and carries out adaptive equalization and amendment.
Invention content
In view of the drawbacks of the prior art, compensation side is composed in the survey for remote sensing equipment being associated with the present invention provides a kind of infared spectrum
Method, it is therefore intended that target real spectrum feature is more accurately being obtained, it can be more preferable after the overlaying influence of elimination instrument internal spectrum
The SPECTRAL DIVERSITY of target is embodied, improve target optical spectral data precision and recognition accuracy.
Compensation method is composed in the survey that remote sensing equipment is associated with the present invention provides a kind of infared spectrum, is included the following steps：
(1) t is obtainediMoment infared spectrum is associated with the internal operating temperature data T of remote sensing equipmenti, to internal operating temperature number
According to TiThe temperature change rule of infared spectrum association remote sensing equipment is obtained after being handled；
(2) t is acquirediWhen inscribe multigroup infared spectrum association remote sensing equipment inside spectrum and external spectrum superposition spectrum number
According to, and the spectroscopic data obtained at this temperature after multigroup spectroscopic data of each time point acquisition is averaging processing is average
Value；
(3) infared spectrum is established according to the measured spectra statistical average under temperature change rule and each temperature to close
Join the acquisition model composed inside remote sensing equipment；
(4) the acquisition model of inside spectrum is solved using constraints, estimation obtains multiple with temperature TiVariation
Inside spectrum
(5) according to practical outer field measurement the internal operating temperature of the infared spectrum association remote sensing equipment acquired when and described
It is multiple with temperature TiIt composes the inside of variationObtain internal spectrum corresponding with the temperature during this time measuresAccording to the light of actual measurement
Modal dataWith temperature TiCorresponding internal spectrumExternal spectrum after being compensated
Further, the internal acquisition model composed includes：Compose constant model and the external constant model of spectrum in inside；It is interior
It is to measure time started t that constant model is composed in portion1To measurement interlude t2Interior, infared spectrum is associated with the inside work of remote sensing equipment
Make to establish when temperature is constant, inside spectrum is constant, and outside spectrum changes over time linear increase；Outside compose constant model be
Measure interlude t2To measurement end time t4It is interior, when infared spectrum is associated with the internal operating temperature linear increase of remote sensing equipment
It establishes, outside spectrum is constant, and inside spectrum changes over time linear increase.
Further, the internal constant model of spectrum isWherein Respectively
Temperature for actual measurement is T1、T2When infared spectrum association remote sensing equipment inside spectrum and external spectrum superposition spectrum,
The temperature respectively estimated is T1、T2When outside spectrum,The temperature respectively estimated is T1、T2When inside spectrum, J1It isIt is proportional toMultiple.
Further, the external constant model of spectrum isWhereinIt is respectively real
The temperature of survey is T2、T4When infared spectrum association remote sensing equipment inside spectrum and external spectrum superposition spectrum,Respectively
Temperature for estimation is T2、T4When outside spectrum,The temperature respectively estimated is T2、T4When inside spectrum；J2It isJust
Than inMultiple.
Further, in step (4), the constraints includes：Inside spectrum is incremented by constraints and external spectrum is passed
Increase constraints；The internal spectrum is incremented by constraints and is：t2→t4Inside spectrum in period compares t1→t2It is interior in period
Portion's spectrum is high；It is t that the external spectrum, which is incremented by constraints,2→t4External spectrum in period compares t1→t2External spectrum in period
It is high.
Further, in step (5), the external spectrum after compensationWherein, k is weighting coefficient,
It can be according to environment temperature come the size of regulation coefficient k.
Further, further include before step (1)：By the detection optical window for being associated with remote sensing equipment to infared spectrum
Mouth adds black cover board, realizes infared spectrum association remote sensing equipment in normal work, in infared spectrum association remote sensing equipment
Light Electrical structure device generates heat so that the environment temperature around spectrometer module increases.
The present invention is using the internal method composed of analysis to handle the advantageous effect of measured spectra：
(1) after measured spectra adaptive equalization and corrective inside are composed, the gain relationship of target external spectrum can be more preferable
Highlight.
(2) for small-signal, if directly analyzing measured spectra data, possible signal is covered by spectrum inside equipment
Lid, and spectrum inside estimation equipment is analyzed, actual measurement spectrum, which is subtracted spectrum inside equipment, can play the role of amplification, can more intuitively characterize
Target external spectral difference is different.
(3) this method provided by the invention can be obtained under different temperatures gradient and be composed inside equipment, and according to environment temperature
The transform analysis of degree obtains spectral curve inside most accurate equipment, so as to adapt to carry out target under different environmental conditions
Survey spectrum experiment.
Description of the drawings
Fig. 1 is the implementation process of the survey spectrum compensation method of infared spectrum association remote sensing equipment provided in an embodiment of the present invention
Figure；
Fig. 2 is the different time points actual measurement cover board curve of spectrum schematic diagram in the embodiment of the present invention；
Fig. 3 is the different time points instrument internal temperature variation curve schematic diagram in the embodiment of the present invention；
Fig. 4 is J of the embodiment of the present invention1=J1minWhen instrument internal spectral curve；
Fig. 5 is J of the embodiment of the present invention1=J1minWhen cover board radiate spectral curve；
Fig. 6 is J of the embodiment of the present invention1=J1maxWhen instrument internal spectral curve；
Fig. 7 is J of the embodiment of the present invention1=J1maxWhen cover board radiate spectral curve；
Fig. 8 is the tropical conditions field trial test target spectral curve in the embodiment of the present invention；
Fig. 9 is that the tropical conditions field trial test target spectral curve in the embodiment of the present invention subtracts instrument internal spectral curve；
Figure 10 is the cold conditions field trial test target spectral curve in the embodiment of the present invention；
Figure 11 is that the cold conditions field trial test target spectral curve in the embodiment of the present invention subtracts instrument internal spectral curve.
Specific implementation mode
In order to make the purpose , technical scheme and advantage of the present invention be clearer, with reference to the accompanying drawings and embodiments, right
The present invention is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, and
It is not used in the restriction present invention.
For infared spectrum equipment when measuring target optical spectral data easily by itself operating temperature and ambient temperature shadow
Loud problem obtains and analysis target optical spectral data to be accurate, and the present invention proposes a kind of infared spectrum association remote sensing equipment
Survey spectrum compensation method, it is therefore intended that more accurately obtaining target real spectrum feature, eliminating the superposition shadow of instrument internal spectrum
Preferably the SPECTRAL DIVERSITY of target can be embodied after sound, improve target optical spectral data precision and recognition accuracy.
To achieve the above object, as shown in Figure 1, a kind of survey spectrum of infared spectrum association remote sensing equipment provided by the invention is mended
Compensation method includes the following steps：
Detection optical window by being associated with remote sensing equipment to infared spectrum adds black cover board, realizes infared spectrum association
In normal work, infared spectrum is associated with the Light Electrical structure device in remote sensing equipment and generates heat so that spectrometer module week remote sensing equipment
The environment temperature enclosed increases.
(1) t is obtainediMoment infared spectrum is associated with the internal operating temperature data T of remote sensing equipmenti, to internal operating temperature number
According to TiThe temperature change rule of infared spectrum association remote sensing equipment is obtained after being handled；
The time interval Δ T of collecting device internal operating temperature is empirical value, and general value is 10~20 minutes.
Temperature change rule is：Preliminary work temperature is kept constant, and is increased at any time and is increased, and growth trend is got over
Come faster.
Wherein, k1,…,kmIndicate that equipment internal temperature changes slope, b in different time sections1,…,bmIndicate different time
Equipment internal temperature changes intercept, T in section0Indicate test original equipment internal temperature.M indicates equipment internal temperature gradient number
Mesh.
(2) it is to avoid error, acquires tiWhen inscribe multigroup infared spectrum association remote sensing equipment inside spectrum and external spectrum it is folded
The spectroscopic data added, and spectrum at this temperature is obtained after multigroup spectroscopic data of each time point acquisition is averaging processing
Statistical average；
Wherein, dj(λi) refer to a length of λ of jth group measured spectra data medium waveiThe spectral signature data at place, N refer to tiMoment
Measured spectra data group number,Refer to this N groups data in wavelength it is λtThe infared spectrum association remote sensing equipment of place's actual measurement
The spectroscopic data average value of inside spectrum and external spectrum superposition；
It is identical at the time of at the time of acquiring spectroscopic data with collecting device internal operating temperature, it obtains at one group of multiple temperature
The spectroscopic data average value of the inside spectrum and external spectrum superposition of the infared spectrum association remote sensing equipment of actual measurement.
(3) infared spectrum is established according to the measured spectra statistical average under temperature change rule and each temperature to close
Join the acquisition model composed inside remote sensing equipment；
Inside spectrum specifically refers to the radiation spectrum that each Light Electrical structure device operational heat generates inside equipment.Outside spectrum tool
Body refers to the radiation spectrum that cover board itself heat radiation generates.Measured spectra refer to infared spectrum association remote sensing equipment inside spectrum and
The spectroscopic data of outside spectrum superposition.
Inside spectrum acquisition model include：Constant model and the external constant model of spectrum are composed in inside, and constant model is composed in inside is
In t1→t2In period, what the internal operating temperature of infared spectrum association remote sensing equipment was established when constant, at this point, internal spectrum is
Constant, outside spectrum changes over time linear increase；It is in t that constant model is composed in outside2→t4In period, infared spectrum association
It is established when the internal operating temperature linear increase of remote sensing equipment, although in t2→t3Period and t3→t4In period, work
Temperature change slope is slightly different, but at this point, the inside of the infared spectrum association remote sensing equipment of acquisition is composed and external spectrum superposition
Spectroscopic data varies less, it is believed that t3Moment and t4The inside spectrum of the infared spectrum association remote sensing equipment of moment acquisition and outside
The spectroscopic data approximately equal of superposition is composed, therefore in t2→t4In time, outside spectrum is constant, and inside spectrum changes over time linear
Increase.
Compose constant model in insideWhereinThe temperature for being actual measurement is T1、T2When
Infared spectrum is associated with the spectrum of the inside spectrum and external spectrum superposition of remote sensing equipment,The temperature for being estimation is T1、T2When
Outside spectrum,The temperature for being estimation is T1、T2When inside spectrum.
Compose constant model in outsideWhereinThe temperature for being actual measurement is T2、T4Shi Hong
The spectrum of the inside spectrum of outer collection of illustrative plates association remote sensing equipment and external spectrum superposition,The temperature for being estimation is T2、T4When
Outside spectrum,The temperature for being estimation is T2、T4When inside spectrum.
As an embodiment of the present invention, the acquisitions model of internal spectrum specifically establishes process and is：
(31) the measured spectra data are the spectrum of inside spectrum and external spectrum superposition that infared spectrum is associated with remote sensing equipment
Data S, consists of two parts, including internal modal data SI and external modal data SO, wherein known to measured spectra data.
S=SO+SI (1)
(32) influences such as the fever of Light Electrical structure, test ambient temperature raising can cause internal spectrum variation.When different
Between put the collected curve of spectrum there are relevance, using temperature measuring equipment inside equipment, obtain initial temperature and final temperature.
Assuming that the internal operating temperature that time of measuring long enough, inside spectrum and external spectrum are associated with remote sensing equipment with infared spectrum changes and becomes
Change, t1→t2In time, internal operating temperature is constant, and inside spectrum is constant, outside spectrum linear increase, t2→t3In time, temperature line
Property increase, inside spectrum linear increase, outside compose constant, t3→t4In time, time interval is sufficiently small, although temperature change is larger,
But measured spectra data S variations are simultaneously little, therefore think that internal spectrum SI and external spectrum SO do not change.The actual measurement of all temperature spots
The relationship of spectroscopic data and internal spectrum, external spectrum is as follows：
(33) in t1→t2In period, inside spectrum is constant：
Simultaneous formula (2), takes t2Moment and t1The spectrum equation at moment subtracts each other
(34) it enablesCoefficient J1For real number, then can obtain The formula molecule vector is it is known that t1→t2Internal spectrum and external spectrum meet formula (5) in period：
(35) in t2→t4In time, outside spectrum is constant：
Simultaneous formula (2), takes t4Moment and t2The equation at moment subtracts each other
(36) it enablesCoefficient J2For real number, then can obtain
The formula molecule vector is it is known that t2→t4Internal spectrum and external spectrum meet formula (8) in time：
(4) the acquisition model of inside spectrum is solved using constraints, estimation obtains multiple with temperature TiVariation
Inside spectrum
Constraints includes：Inside spectrum is incremented by constraints and external spectrum is incremented by constraints, wherein internal spectrum is incremented by about
Beam condition is：t2→t4Inside spectrum in period compares t1→t2Inside spectrum in period is high；Outside spectrum is incremented by constraints
t2→t4External spectrum in period compares t1→t2External spectrum in period is high；
(5) according to practical outer field measurement the internal operating temperature of the infared spectrum association remote sensing equipment acquired when and described
It is multiple with temperature TiIt composes the inside of variationObtain internal spectrum corresponding with the temperature during this time measuresAccording to the light of actual measurement
Modal dataWith temperature TiCorresponding internal spectrumExternal spectrum after being compensated Its
In, k is weighting coefficient, can be according to environment temperature come the size of regulation coefficient k, and empirical value is generally 0.5~1.5.
Purpose to realize the present invention, the optical window that can be associated with remote sensing equipment to infared spectrum in laboratory cover cover board
The internal operating temperature elevation process of acceleration equipment obtains multiple with temperature TiIt composes the inside of variationAnd according to the light of actual measurement
Modal dataWith temperature TiCorresponding internal spectrumExternal spectrum after being compensatedIt includes real that compensation method is composed in this survey
Spectroscopic data continuous acquisition unit, measured spectra data averaging processing unit, internal spectral estimation unit are surveyed, outside spectrum, which is surveyed to compose, to be estimated
Count unit；
Wherein, measured spectra data continuous acquisition unit is for obtaining measured spectra data；Measured spectra data are averaging
Processing unit provides measured spectra data mean value at a temperature of certain；Internal spectral estimation unit is according to the reality obtained under front and back different temperatures
Survey spectroscopic data Estimation of Mean internal spectrum at this temperature.Outside spectrum surveys spectrum compensating unit by adaptive equalization and corrects internal spectrum
To obtain the external spectrum that can characterize target property.
In order to make the purpose , technical scheme and advantage of the present invention be clearer, right with reference to the accompanying drawings and embodiments
The present invention is described in detail.
It is associated with remote sensing equipment specific embodiment below in conjunction with infared spectrum further to illustrate in equipment provided by the invention
Portion's Power estimation and external spectrum survey spectrum compensation method；Purpose to realize the present invention, can in laboratory acceleration equipment internal work
Temperature elevation process obtains multiple with temperature TiIt composes the inside of variationAnd according to the spectroscopic data of actual measurement and temperature TiIt is right
The inside spectrum answeredExternal spectrum after being compensatedIt includes measured spectra data continuous acquisition list that compensation method is composed in this survey
Member, measured spectra data are averaging processing unit, internal spectral estimation unit, and outside spectrum surveys spectral estimation unit；It is specific as follows：
(1) the detection optical window that remote sensing equipment is associated with to infared spectrum adds black cover board；
(2) t is obtainediWhen inscribe infared spectrum association remote sensing equipment internal operating temperature data Ti, to internal operating temperature
Data TiThe temperature change rule of infared spectrum association remote sensing equipment is obtained after being handled；
The time interval Δ T for acquiring internal operating temperature is empirical value, and general value is 10~20 minutes.
Temperature change rule is：Preliminary work temperature is kept constant, and is increased at any time and is increased, and growth trend is got over
Come faster.
Wherein, wherein k1=0, k2=0.8, k3=1.2, m indicate temperature gradient number, are equal to 100 in the present embodiment.It sees
As the time increases known to examining, regularity variation is presented in equipment internal temperature variation tendency, 30 30 subregions when assigning to 21 at 19
Between, the internal operating temperature of equipment does not change in two hours, the internal work temperature of equipment within follow-up two hours
Spend linear growth trend.
(3) TurboFT spectrometer modules are used to measure multiple moment tiUnder it is multigroup with equipment internal operating temperature change
Measured spectra data STi；
In the present embodiment, one group of measured spectra data was obtained at interval of 15 minutes, acquires 100 measured spectra numbers every time
According to, 4 hours of continuous acquisition, totally 17 time points.
(4) the measured spectra data obtained according to step (3) carry out averaging processing, and 17 temperature spots are always obtained and correspond to
Spectroscopic data average value.
Wherein, dj(λi) refer to a length of λ of jth group measured spectra data medium waveiThe spectral signature data at place, N refer to tiData
Group number,Refer to this N groups data in wavelength it is λtThe inside spectrum and external spectrum of the infared spectrum association remote sensing equipment of place's actual measurement
The spectroscopic data average value of superposition；
(5) according to temperature changing trend in step (4), to analyze actual measurement cover board modal data S.The measured spectra of the acquisition
Statistical average be with the actual measurement cover board spectroscopic data of temperature change, including internal modal data SI and external modal data SO,
Known to middle measured spectra data.
S=SO+SI (3)
In the collected curve of spectrum of different temperature points, there are relevances, and using temperature measuring equipment inside equipment, acquisition is just
Beginning temperature and final temperature.Assuming that time of measuring long enough, inside spectrum and outside spectrum are associated with infared spectrum in remote sensing equipment
Portion's temperature change and change, t1→t2In time, internal operating temperature is constant, and inside spectrum is constant, outside spectrum linear increase,
t2→t3In time, temperature linearity increases, and inside spectrum linear increase, constant, t is composed in outside3→t4In time, time interval is enough
Small, although temperature change is larger, measured spectra data S variations are simultaneously little, therefore think that internal spectrum SI and external spectrum SO do not have
Change.
Wherein,The temperature for being actual measurement is T1、T2、T4When infared spectrum association remote sensing equipment inside spectrum
The spectrum being superimposed with external spectrum,The temperature for being estimation is T1、T2、T4When outside spectrum,The temperature for being estimation is T1、T2、T4When inside spectrum.
(6) in Fig. 3, t1→t2Temperature change section, temperature T1=...=T2, t2→t3Temperature change section, temperature is at any time
Between linear increase, t3→t4Temperature change section, temperature linearity are speeded.In formula (4), the equation of initial temperature is shown in Fig. 3
Moment t2Corresponding actual measurement cover board spectral curveThe equation of medium temperature is moment t shown in Fig. 32Corresponding reality
Survey cover board spectral curveThe equation of end temp is moment t shown in Fig. 34Corresponding actual measurement cover board spectral curve
In t1→t2In period, inside spectrum is constant：
Simultaneous formula (4), takes t2Moment and t1The equation at moment subtracts each other
It enablesCoefficient J1For real number, then can obtainIt should
Formula molecule vector is it is known that t1→t2Internal spectrum and external spectrum meet formula (7) in time：
In t2→t4In time, outside spectrum is constant, i.e.,
Simultaneous formula (2), takes t4Moment and t2The equation at moment subtracts each other
It enablesCoefficient J2For real number, then can obtainIt should
Formula molecule vector is it is known that t2→t4Internal spectrum and external spectrum meet formula (10) in time：
(7) the acquisition model of inside spectrum is solved using constraints, estimation obtains multiple with temperature TiVariation
Inside spectrum
Constraints includes：Inside spectrum is incremented by constraints and external spectrum is incremented by constraints, wherein internal spectrum is incremented by about
Beam condition is：t2→t4Inside spectrum in period compares t1→t2Inside spectrum in period is high；Outside spectrum is incremented by constraints
t2→t4External spectrum in period compares t1→t2External spectrum in period is high；
I.e.WithWithBetween meet constraintsTherefore it can be accordingly
Estimate J1Range.
WhenWhen：
Observe above formula it is found thatTherefore J1There are lower limit J1min, J2There are lower limit J2minSo that
WhenWhen：
Observe above formula it is found thatTherefore J1There are upper limit J1max, J2There are upper limit J2max,
So that
It can determine J1∈(J1min,J1max) and J2∈(J2min,J2max), and because t2Compose SI in the inside at momentT2Both in having can be used
Constant model estimation is composed also by portion can use the constant model estimation of external spectrum, i.e.,：
It can obtain in external Power estimation model
J is obtained to above-mentioned model solution using above-mentioned constraints1∈(1.6,2)
At this point, in J1=J1minCritical condition under inside the equipment that acquires spectrum as shown in figure 4, the higher curve of amplitude is
t2→t4Spectrum inside period, the lower curve of amplitude is t1→t2Spectrum inside period, corresponding external spectrum as shown in figure 5, this
When t1→t2And t2→t4Spectrum almost overlaps outside period, in J1=J1maxCritical condition under inside the equipment that acquires spectrum as schemed
Shown in 6, which is t2→t4When intersegmental part spectrum be more than t1→t2When intersegmental part spectrum lowest critical value, corresponding external spectrum is such as
Shown in Fig. 7, the higher curve of amplitude is t2→t4Spectrum outside period, the lower curve of amplitude is t1→t2Spectrum outside period.
(8) Fig. 4, Fig. 6 are estimated obtained equipment inside spectral curve under experimental condition in embodiment, are being actually used
Cheng Zhong, different instrument internal spectral curves can be chosen according to the difference of experimental enviroment and is weighted subtracts.According to the instrument internal
Spectrum and actual measurement target spectral curve obtain target itself spectrophotometric curve, and actual measurement target optical spectrum curve includes target itself spectrum
Radiation curve and instrument internal spectrum, such as following formula
SMeasure=k*SI+STarget(18)
Wherein k is coefficient, can be according to variation of ambient temperature come the size of regulation coefficient k, to obtain instrument itself radiation
Spectrum STarget=SMeasure- k*SI, it is significantly more efficient to distinguish different targets, improve the accuracy of identification different target.
(9) result treatment composed inside weighted minus corrective.
(9-1) is directed to the case where hot weather, and during outdoor use, for equipment in the case where shining upon, instrument internal spectrum is strong
Degree can be promoted, therefore, using strongest instrument internal modal data measured in step (7)To measured spectra data into
Subtraction amendment is done in row weighting, it should be noted that：Scene objects modal data-weighting coefficient k* instrument internals spectrum number is composed=surveyed to target scene
According to weighting coefficient k must be adjusted, and be greater than 1, can just be subtracted spectrum inside clean equipment, be obtained final goal itself radiation spectrum.
In embodiment, August summer is had chosen, what outdoor temperature acquired under the conditions of 34 DEG C slides aircraft difference component spectrum
Curve, measured spectra curve is as shown in figure 8, amplitude is fuselage, head, wing, jet pipe, wake flame spectrum song successively from low to high
Line, weighted minus instrument internal spectrumWeighting coefficient k=1.8 obtains target itself radiation spectral curve, weighted minus instrument internal spectrumWeighting coefficient k=1.8 obtains target itself radiation spectral curve, as shown in figure 9, by taking the short-wave band between 2-6um as an example, width
Value is jet pipe front, rack tire, head, fuselage, headlight, wake flame successively from low to high.
(9-2) is colder for weather, and during outdoor use, instrument internal spectral intensity can reduce, therefore, using step
Suddenly most weak instrument internal modal data measured in (7)It is weighted and subtracts, it should be noted that：Target scene composes=survey scene
Target modal data-weighting coefficient k* instrument internal modal data SI, weighting coefficient must adjust, and weighting coefficient k is less than 1.
In embodiment, winter in November is had chosen, what outdoor temperature acquired under the conditions of 16 DEG C slides aircraft difference component light
Spectral curve, measured spectra curve is as shown in Figure 10, and by taking the short-wave band between 2-6um as an example, amplitude is head, machine successively from low to high
Body, engine, wing, aero tyre, weighted minus instrument internal spectrumWeighting coefficient k=1.8 obtains target itself radiation spectrum
Curve, as shown in figure 11 by taking the short-wave band between 2-6um as an example, amplitude be successively from low to high head, fuselage, engine, wing,
Aero tyre overlaps spectral coverage and reduces, be conducive to accurately identify target optical spectrum signal compared with Figure 10.
Subtract to obtain weighting coefficient in short, to be adjusted according to actual environment condition.
It using the present invention, is compared by embodiment Fig. 8 and Fig. 9, Figure 10 and Figure 11 is compared, and rule is composed inside analytical instrument
Afterwards, will in actual use collected spectroscopic data be weighted subtract instrument internal spectrum, different mesh can be highlighted with emphasis
Spectral difference between mark is different,, can be with by composing inside analytical instrument especially under the conditions of real daylighting spectrum signal distinguishes unconspicuous
The case where by causing useful signal to be submerged or lose due to the influence of test environment and instrument itself, by target itself spectrum
Signal effectively extracts, conducive to echo signal is recognized accurately.
As it will be easily appreciated by one skilled in the art that the foregoing is merely illustrative of the preferred embodiments of the present invention, not to
The limitation present invention, all within the spirits and principles of the present invention made by all any modification, equivalent and improvement etc., should all include
Within protection scope of the present invention.
Claims (7)
1. compensation method is composed in a kind of survey of infared spectrum association remote sensing equipment, which is characterized in that include the following steps：
(1) t is obtainediMoment infared spectrum is associated with the internal operating temperature data T of remote sensing equipmenti, to internal operating temperature data Ti
The temperature change rule of infared spectrum association remote sensing equipment is obtained after being handled；
(2) t is acquirediWhen inscribe multigroup infared spectrum association remote sensing equipment inside spectrum and external spectrum superposition spectroscopic data, and it is right
Multigroup spectroscopic data that each time point obtains obtains spectroscopic data average value at this temperature after being averaging processing；
(3) according to temperature change rule and the measured spectra statistical average at each temperature establish infared spectrum be associated with it is distant
Feel the acquisition model composed inside equipment；
(4) the acquisition model of inside spectrum is solved using constraints, estimation obtains multiple with temperature TiIt composes the inside of variation
(5) according to practical outer field measurement the internal operating temperature of the infared spectrum association remote sensing equipment acquired when and the multiple
With temperature TiIt composes the inside of variationObtain internal spectrum corresponding with the temperature during this time measuresAccording to the spectrum number of actual measurement
According toWith temperature TiCorresponding internal spectrumExternal spectrum after being compensated
2. as described in claim 1 survey spectrum compensation method, which is characterized in that the internal acquisition model composed includes：It is internal
Compose constant model and the external constant model of spectrum；
It is to measure time started t that constant model is composed in inside1To measurement interlude t2Interior, infared spectrum is associated with remote sensing equipment
It is established when internal operating temperature is constant, inside spectrum is constant, and outside spectrum changes over time linear increase；
Outside compose constant model be in the measurements between time t2To measurement end time t4Interior, infared spectrum is associated with remote sensing equipment
It is established when internal operating temperature linear increase, outside spectrum is constant, and inside spectrum changes over time linear increase.
3. as claimed in claim 2 survey spectrum compensation method, which is characterized in that compose constant model and be in the inside
WhereinThe temperature respectively surveyed is T1、T2When infared spectrum association remote sensing equipment inside spectrum and external spectrum it is folded
The spectrum added,The temperature respectively estimated is T1、T2When outside spectrum,The temperature respectively estimated is
T1、T2When inside spectrum, J1It isIt is proportional toMultiple.
4. surveying spectrum compensation method as claimed in claim 2 or claim 3, which is characterized in that compose constant model and be in outside
WhereinThe temperature respectively surveyed is T2、T4When infared spectrum association remote sensing equipment inside spectrum and external spectrum
The spectrum of superposition,The temperature respectively estimated is T2、T4When outside spectrum,The temperature respectively estimated
For T2、T4When inside spectrum；J2It isIt is proportional toMultiple.
5. compensation method is composed in survey according to any one of claims 1-4, which is characterized in that in step (4), the constraint item
Part includes：Inside spectrum is incremented by constraints and external spectrum is incremented by constraints；
The internal spectrum is incremented by constraints and is：t2→t4Inside spectrum in period compares t1→t2Inside spectrum in period is high；
It is t that the external spectrum, which is incremented by constraints,2→t4External spectrum in period compares t1→t2External spectrum in period is high.
6. compensation method is composed in survey as described in any one in claim 1-5, which is characterized in that outer after compensation in step (5)
It composes in portion
Wherein, k is weighting coefficient, can be according to environment temperature come the size of regulation coefficient k.
7. compensation method is composed in survey as claimed in any one of claims 1 to 6, which is characterized in that further include before step (1)：It is logical
It crosses and adds black cover board to the detection optical window of infared spectrum association remote sensing equipment, realize that infared spectrum association remote sensing equipment exists
When normal work, the Light Electrical structure device fever that infared spectrum is associated in remote sensing equipment makes the environment temperature around spectrometer module
Degree increases.
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