CN108151879A - A kind of target classification recognition detection system based on spectrum analysis - Google Patents
A kind of target classification recognition detection system based on spectrum analysis Download PDFInfo
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- CN108151879A CN108151879A CN201810029991.4A CN201810029991A CN108151879A CN 108151879 A CN108151879 A CN 108151879A CN 201810029991 A CN201810029991 A CN 201810029991A CN 108151879 A CN108151879 A CN 108151879A
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- 238000001514 detection method Methods 0.000 title claims abstract description 25
- 238000010183 spectrum analysis Methods 0.000 title claims abstract description 11
- 238000003384 imaging method Methods 0.000 claims abstract description 52
- 238000001228 spectrum Methods 0.000 claims abstract description 27
- 238000000701 chemical imaging Methods 0.000 claims abstract description 24
- 230000003287 optical effect Effects 0.000 claims description 15
- 230000003139 buffering effect Effects 0.000 claims description 5
- 230000003595 spectral effect Effects 0.000 abstract description 31
- 230000000694 effects Effects 0.000 abstract description 10
- 230000008685 targeting Effects 0.000 abstract description 2
- 238000005516 engineering process Methods 0.000 description 9
- 238000000034 method Methods 0.000 description 6
- 238000010586 diagram Methods 0.000 description 4
- 238000004458 analytical method Methods 0.000 description 3
- 239000000463 material Substances 0.000 description 3
- 238000006073 displacement reaction Methods 0.000 description 2
- 230000010365 information processing Effects 0.000 description 2
- 238000003331 infrared imaging Methods 0.000 description 2
- 239000004973 liquid crystal related substance Substances 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 238000004611 spectroscopical analysis Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000006378 damage Effects 0.000 description 1
- 239000006185 dispersion Substances 0.000 description 1
- 239000003814 drug Substances 0.000 description 1
- 235000013399 edible fruits Nutrition 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 230000013011 mating Effects 0.000 description 1
- 238000012634 optical imaging Methods 0.000 description 1
- 230000010287 polarization Effects 0.000 description 1
- 230000001681 protective effect Effects 0.000 description 1
- 238000011897 real-time detection Methods 0.000 description 1
- 238000000985 reflectance spectrum Methods 0.000 description 1
- 239000004575 stone Substances 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J3/00—Spectrometry; Spectrophotometry; Monochromators; Measuring colours
- G01J3/28—Investigating the spectrum
- G01J3/2823—Imaging spectrometer
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J3/00—Spectrometry; Spectrophotometry; Monochromators; Measuring colours
- G01J3/02—Details
- G01J3/0291—Housings; Spectrometer accessories; Spatial arrangement of elements, e.g. folded path arrangements
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J3/00—Spectrometry; Spectrophotometry; Monochromators; Measuring colours
- G01J3/28—Investigating the spectrum
- G01J2003/283—Investigating the spectrum computer-interfaced
- G01J2003/2843—Processing for eliminating interfering spectra
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- Spectroscopy & Molecular Physics (AREA)
- General Physics & Mathematics (AREA)
- Spectrometry And Color Measurement (AREA)
- Investigating Or Analysing Materials By Optical Means (AREA)
Abstract
The invention discloses a kind of target classification recognition detection systems based on spectrum analysis, are related to spectral matching factor field；Including shell,The Hyperspectral imaging devices that the imaging lens of embedded shell and setting are connect inside the shell with imaging lens,Hyperspectral imaging devices are provided with spectrograph slit at imaging lens,Further include the computer being connect with microprocessor and with microprocessor,Further include the symmetrically arranged RGB camera A and RGB camera B centered on imaging lens,For obtaining the corresponding two dimensional image of spectrograph slit in real time,RGB camera A and RGB camera B is electrically connected with microprocessor,Existing Spectral Recognition System is solved because spectrum channel is few,Resolution ratio and low precision,And it can just obtain targeting accuracy spectral information after analyzing and processing need to be acquired to image,Lead to spectral matching factor low precision,The problem of processing is complicated low with real-time,The real-time synchronization of observation and detection is reached,Reduce the complexity of data processing,Improve the effect of recognition efficiency and precision.
Description
Technical field
The present invention relates to spectral matching factor field, especially a kind of target classification recognition detection system based on spectrum analysis.
Background technology
About target identification methods there are many kinds of, for example, in Military Application, thermal infrared imaging can be to military affairs
The target that puppet loads is identified and detects, and finds the target under potential camouflaged target；In daily life, pharmaceuticals industry has
Very strict test stone, due to that cannot have destruction or contact to sample, so needing special detection device to production
Foreign matter on line is detected；Most of detection means is all based on image processing techniques, for example, infrared imaging, image
(face) identifies, and these technological means not can be fully solved all problems to a certain extent, for example, the people after camouflage
Face, it is difficult to observe internal feature information, easy missing inspection.
Spectral imaging technology is built upon on the basis of the technologies such as sensor, computer, with the hair of detecting technique
Exhibition, multispectral imaging, high light spectrum image-forming, Hyper spectral Imaging, LCTF imagings, AOTF imagings, polarization imaging technology are come into being.This
Several imaging modes are required for including the spectrometer of spectrum, the photoelectron detector needed for spectrum acquisition and eliminate
The first-class component of optical imaging lens of the problems such as dispersion has these main structure bodies cooperation scanning or imaging mechanism that can just get phase
The data structure answered.
High light spectrum image-forming technology is the image data technology based on very more narrow-bands to grow up in the latest 20 years,
On the basis of multispectral imaging, in from ultraviolet to the spectral region of near-infrared (200-2500nm), using imaging spectrometer,
Tens of or hundreds of spectral bands in spectral coverage are obtaining object space characteristic imaging to target object continuous imaging
While obtain the spectral information of testee；Since the reflectance spectrum of substance (body) has " fingerprint " effect, jljl is not
With spectrum, principle of the jljl centainly with spectrum differentiates different material informations；Target identification and detection have been completed using spectral information
Gradually ripe, immediate system has in the prior art：The first Hyperspectral imager includes imaging spectrometer, CCD camera
(planar array detector), imaging lens, image scanning displacement device, computer and acquisition control software etc., at present its system use
Be push-broom type, sweep type imaging mode, under the drive of displacement device, spectrum camera can simultaneously, quick obtaining correspond to mesh
Target spectrum and image information, but have the drawback that：With the increase of wave band number, data volume exponentially increases, causes to locate
It is big to manage difficulty；Since adjacent band is highly relevant, redundancy also relative increase；System refers in second is filtered based on liquid crystal tunable
The Hyperspectral imager of mating plate LCTF technologies is imaged system including optical lens, liquid crystal tunable optical filter LCTF and a set of CCD
System；Due to no-raster mechanical structure, the acquisition of high pixel camera can get extraordinary spatial resolution image, and LCTF
Camera or the camera of optical filter wheel pattern are limited by the restriction of LCTF modules and optical filter wheel quantity, the image got
Spectral resolution is poor.Existing technology is all to obtain spectral information after image information is handled, and is believed further according to spectrum
Breath carries out analysis and completes identification and detection, wherein there are the shortcomings that resolution ratio is low, equipment requirement is high, real-time difference and intractability
Greatly, thus need it is a kind of can, in real time detection easy according to spectral information and identification target system.
Invention content
It is an object of the invention to：The present invention provides a kind of target classification recognition detection system based on spectrum analysis,
Existing Spectral Recognition System is solved because spectrum channel is few, resolution ratio and low precision and analyzing and processing need to be acquired to image
The problem of targeting accuracy spectral information can just be obtained afterwards, cause spectral matching factor low precision, processing complicated low with real-time.
The technical solution adopted by the present invention is as follows：
A kind of target classification recognition detection system based on spectrum analysis, including shell, embedded shell imaging lens and
The Hyperspectral imaging devices being connect inside the shell with imaging lens are set, and Hyperspectral imaging devices are provided at imaging lens
Spectrograph slit further includes the microprocessor being electrically connected with Hyperspectral imaging devices and the computer being connect with microprocessor,
The symmetrically arranged RGB camera A and RGB camera B centered on imaging lens is further included, is corresponded to for obtaining spectrograph slit in real time
Two dimensional image, the RGB camera A and RGB camera B are electrically connected with microprocessor.
Preferably, the RGB camera A and the spacing of RGB camera B and imaging lens are 2-4cm.Appropriate spacing ensures knot
It is symmetrical on structure so that high light spectrum image-forming row information is in the middle part of two RGB camera coverages, is conducive to quickly identify mesh
Mark；
Preferably, it further includes the handle for being arranged on case surface and is arranged on outer casing bottom and be used for four buffering and supporting
Bearing.Easy to carry, the bearing of setting buffering and support is conducive to the stability of protective device, improves accuracy of detection.
Preferably, the Hyperspectral imaging devices include the imaging spectrometer being connect with imaging lens, around imaging spectral
The spectrometer briquetting of instrument, the firm banking for being arranged on spectrometer briquetting lower end, planar array detector, for connect imaging spectrometer and
It the fixing piece of planar array detector and is set between fixing piece and planar array detector to eliminate the optical filter of second order spectrum.Favorably
In the spectral information for directly acquiring target, existing apparatus is avoided to need to obtain the numerous and diverse of spectral information after acquiring Image Information Processing
The shortcomings that flow, adds the interference that optical filter eliminates second order spectrum, suitable for Visible-to-Near InfaRed wave band, further improves system
Practicability, promote raising system recognition effect；
In conclusion by adopting the above-described technical solution, the beneficial effects of the invention are as follows：
1. the present invention is obtained by being symmetrical arranged two RGB cameras at imaging lens both ends by Hyperspectral imaging devices
Spectrograph slit corresponding two dimensional image is obtained while spectral information in real time, is connected after storing acquisition information by microprocessor
Computer completes quick identification, realizes that observation in real time and monitoring spectrograph slit shooting row information correspond to the coordinate information of target,
Simplicity obtains the three-dimensional image information of target, solves existing Spectral Recognition System and detects inconvenience using push-broom type equipment, uses
LCTF technologies cause spectral resolution low because being limited by LCTF modules and optical filter wheel quantity, are obtained by Image Information Processing
The problem of spectral information causes real-time poor leads to spectral matching factor low precision, handles the problem of complicated low with real-time, reach
Observation and the real-time synchronization of detection reduce the complexity of data processing, improve the effect of recognition efficiency and precision；
2. the spectral information that the present invention acquires EO-1 hyperion camera is connected by microprocessor by usb signal line and computer
It connects, by handling the corresponding data of row information, greatly reduces data processing difficulty, avoid lacking for existing imaging device redundancy
Point, is compared with the spectroscopic data of lane database, quickly obtains the target identification result of spectral information；
3. adding optical filter in the Hyperspectral imaging devices of the present invention, the interference of second order spectrum is eliminated, suitable for visible-near
Infrared band further improves the practicability of system, promotes the recognition effect of raising system；
Row information is made to be in RGB camera shooting model 4. RGB camera A of the present invention and RGB camera B is symmetrical arranged with imaging lens
The detection target corresponding to each pixel is accurately positioned in the middle part enclosed, and precisely determines location information, improves detectivity and identification
Accuracy of identification is improved while efficiency.
Description of the drawings
Examples of the present invention will be described by way of reference to the accompanying drawings, wherein：
Fig. 1 is the structure diagram of the present invention；
Fig. 2 is the front view of the present invention；
Fig. 3 is the high light spectrum image-forming internal structure schematic diagram of the present invention；
Fig. 4 is the RGB image of the present invention and curve of spectrum effect diagram；
Fig. 5 be the present invention highlight effect diagram.
Description of the drawings：1- shells, 2- imaging lens, 3-RGB cameras A, 4-RGB camera B, 5- handle, 6- bearings, 7- faces battle array
Detector, 8- imaging spectrometers, 9- firm bankings, 10- spectrometer briquettings, 11- optical filters, 12- fixing pieces.
Specific embodiment
All features or disclosed all methods disclosed in this specification or in the process the step of, in addition to mutually exclusive
Feature and/or step other than, can combine in any way.
It elaborates with reference to Fig. 1-5 couples of present invention.
Embodiment 1
A kind of target classification recognition detection system based on spectrum analysis, the imaging lens 2 including shell 1, embedded shell 1
Be arranged on the Hyperspectral imaging devices that are connect with imaging lens 2 in shell 1, Hyperspectral imaging devices are at imaging lens 2
Spectrograph slit is provided with, further includes the microprocessor being electrically connected with Hyperspectral imaging devices and the meter being connect with microprocessor
Calculation machine further includes the symmetrically arranged RGB camera A3 and RGB camera B4 centered on imaging lens 2, for obtaining spectrometer in real time
The corresponding two dimensional image of slit, RGB camera A3 and RGB camera B4 are electrically connected with microprocessor.1 width of shell is 10cm,
The spacing of RGB camera A3 and RGB camera B4 and imaging lens 2 is 2cm, and imaging lens 2 are using the C mouth mirror heads of standard, camera lens
The focal length of back focal plane to detector target surface is at least 17.5mm, and imaging lens 2 are using the tight shot of 17mm, RGB camera A3
It is 2048*2048 with RGB camera B4 pixel maximums, the focal length of camera lens is 12mm, and slit is optical spectrum imaging device
One optical entrance, length 14mm, width 30um, RGB camera A3 and RGB camera B4 are believed with microprocessor using USB3.0
The connection of number line, the EO-1 hyperion camera in Hyperspectral imaging devices are also connect using USB3.0 signal wires with microprocessor；By
2 both ends of imaging lens are symmetrical arranged two RGB cameras, are obtained in real time while obtaining spectral information by Hyperspectral imaging devices
The corresponding two dimensional image of spectrograph slit, connection computer completes quick identification after storing acquisition information by microprocessor, real
The coordinate information that spectrograph slit shooting row information corresponds to target is observed and monitored when real, and simplicity obtains the 3-D view of target
Information has reached the real-time synchronization of observation and detection, reduces data processing complexity, improves the effect of recognition efficiency and precision.
Embodiment 2
It further includes the handle 5 for being arranged on 1 surface of shell and is arranged on 1 bottom of shell and be used for four bearings for buffering and supporting
6.Handle 5 uses PVC material, and bearing 6 uses rubber material, easy to carry, and the bearing of setting buffering and support is conducive to protect
The stability of device improves accuracy of detection.
Embodiment 3
Hyperspectral imaging devices include the imaging spectrometer 8 being connect with imaging lens 2, the spectrum around imaging spectrometer 8
Instrument briquetting 10, the firm banking 9 for being arranged on 10 lower end of spectrometer briquetting, planar array detector 7, for connecting 8 and of imaging spectrometer
It the fixing piece of planar array detector 7 and is set between fixing piece and planar array detector 7 to eliminate the optical filter 11 of second order spectrum.
Planar array detector 7 uses black and white area array detector, and EO-1 hyperion camera pixel is 1392*1040, passes through Hyperspectral imaging devices
Spectral information is directly acquired, optical filter 11 is using the second order spectrum optical filter that disappears, for eliminating second order spectrum.
Embodiment 4
Microprocessor is connect by wireless device or usb signal line with computer, by gathered data and the number of database
Quickly recognition result is obtained according to matching；The whole process time realizes ms grades, effectively improves real-time.
Operation principle：Hyperspectral imaging devices directly acquire the spectral information of target, avoid existing apparatus and pass through image
The time delay that spectral information is brought is converted to after acquisition, by RGB camera A3 symmetrically arranged centered on imaging lens 2 and
RGB camera B4, the pixel of imaging lens 2 are corresponded with the pixel of RGB camera A3 and RGB camera B4, EO-1 hyperion camera
The corresponding row information of slit is in the middle part of RGB camera A3 and RGB camera B4 coverages, completes RGB camera A3 and RGB camera
B4 obtains the corresponding two dimensional image of EO-1 hyperion camera slit in real time, and the data of acquisition are sent to computer by microprocessor,
With the spectroscopic data storehouse matching in computer, recognition result is quickly obtained, while realize observation in real time and monitoring EO-1 hyperion camera
The detection target corresponding to each pixel, base is accurately positioned in the location coordinate information of physical object corresponding to row captured by slit
The three-dimensional image information of captured in real-time target, the image and spectrum of more fast and accurate determining target are obtained in spectral information
Information, effect analysis are as follows：As described in Fig. 4-5, RGB image of first pictures for RGB camera A and RGB camera B acquisitions is right
Side picture is the target of EO-1 hyperion camera slit detection, and it is corresponding that the curve in third pictures for slit detects target row information
The curve of spectrum, two pictures below detect highlighting for target for slit, are highlighted inside pervious recognition result containing other, this
The result of application only highlights the detection mesh put needed for the RGB shooting area information that EO-1 hyperion camera is obtained with spectrum the matching analysis method
Mark；Reach the real-time synchronization of observation and detection, reduced the complexity of data processing, improve the effect of recognition efficiency and precision
Fruit.
Claims (4)
1. a kind of target classification recognition detection system based on spectrum analysis, the imaging lens including shell (1), embedded shell (1)
Head (2) and be arranged on the Hyperspectral imaging devices being connect with imaging lens (2) in shell (1), Hyperspectral imaging devices it is close into
As being provided with spectrograph slit at camera lens (2), further include the microprocessor that is electrically connected with Hyperspectral imaging devices and with micro- place
Manage the computer of device connection, it is characterised in that：Further include centered on imaging lens (2) symmetrically arranged RGB camera A (3) and
RGB camera B (4), for obtaining the corresponding two dimensional image of spectrograph slit, the RGB camera A (3) and RGB camera B (4) in real time
It is electrically connected with microprocessor.
2. a kind of target classification recognition detection system based on spectrum analysis according to claim 1, it is characterised in that：Institute
It is 2-4cm to state RGB camera A (3) and RGB camera B (4) and the spacing of imaging lens (2).
3. a kind of target classification recognition detection system based on spectrum analysis according to claim 1, it is characterised in that：Also
Four bearings (6) for buffering and supporting are used for including being arranged on the handle (5) on shell (1) surface and being arranged on shell (1) bottom.
4. a kind of target classification recognition detection system based on spectrum analysis according to claim 1, it is characterised in that：Institute
It states Hyperspectral imaging devices and includes the imaging spectrometer (8) being connect with imaging lens (2), the spectrum around imaging spectrometer (8)
Instrument briquetting (10), the firm banking (9) for being arranged on spectrometer briquetting (10) lower end, planar array detector (7), for connecting imaging
It the fixing piece (12) of spectrometer (8) and planar array detector (7) and is set between fixing piece (12) and planar array detector (7) to disappear
Except the optical filter (11) of second order spectrum.
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| CN201810029991.4A CN108151879A (en) | 2018-01-12 | 2018-01-12 | A kind of target classification recognition detection system based on spectrum analysis |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110940641A (en) * | 2019-12-20 | 2020-03-31 | 吉林求是光谱数据科技有限公司 | System and method for identifying clothes material based on imaging spectrum chip technology |
| CN112213310A (en) * | 2020-11-03 | 2021-01-12 | 广州大秦光镊科学仪器科技有限公司 | Hyperspectral imaging microscopic big data measurement system and method |
| CN115598075A (en) * | 2022-12-14 | 2023-01-13 | 自然资源部第二海洋研究所（Cn） | Deep sea hyperspectral imaging detection system and method based on two-channel coaxial light path |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110940641A (en) * | 2019-12-20 | 2020-03-31 | 吉林求是光谱数据科技有限公司 | System and method for identifying clothes material based on imaging spectrum chip technology |
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| CN115598075A (en) * | 2022-12-14 | 2023-01-13 | 自然资源部第二海洋研究所（Cn） | Deep sea hyperspectral imaging detection system and method based on two-channel coaxial light path |
| CN115598075B (en) * | 2022-12-14 | 2023-03-31 | 自然资源部第二海洋研究所 | Deep sea hyperspectral imaging detection system and method based on two-channel coaxial light path |
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Address after: 58-1-108, Feihong Road, Nanhu Avenue, Liangxi District, Wuxi City, Jiangsu Province, 214000 Applicant after: Jiangsu Shuangli Hepu Technology Co.,Ltd. Address before: 610010 No. 5, floor 26, building 2, No. 1118, second section of Chenglong Avenue, economic and Technological Development Zone (Longquanyi District), Longquanyi District, Chengdu, Sichuan Applicant before: SICHUAN DUALIX SPECTRAL IMAGING TECHNOLOGY Co.,Ltd. |
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Application publication date: 20180612 |