CN101363758A - Method for discriminating non-effective pixel in UFPA - Google Patents
Method for discriminating non-effective pixel in UFPA Download PDFInfo
- Publication number
- CN101363758A CN101363758A CNA2008100460809A CN200810046080A CN101363758A CN 101363758 A CN101363758 A CN 101363758A CN A2008100460809 A CNA2008100460809 A CN A2008100460809A CN 200810046080 A CN200810046080 A CN 200810046080A CN 101363758 A CN101363758 A CN 101363758A
- Authority
- CN
- China
- Prior art keywords
- ufpa
- pixel
- invalid
- invalid pixel
- threshold
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 49
- 230000004044 response Effects 0.000 claims abstract description 18
- 238000012937 correction Methods 0.000 claims description 12
- 230000004069 differentiation Effects 0.000 claims description 5
- 239000011159 matrix material Substances 0.000 claims description 5
- 238000012545 processing Methods 0.000 claims description 4
- 230000008859 change Effects 0.000 claims description 3
- 238000004364 calculation method Methods 0.000 claims description 2
- 230000005855 radiation Effects 0.000 claims description 2
- 230000008569 process Effects 0.000 abstract description 7
- 238000001931 thermography Methods 0.000 abstract description 2
- 238000013507 mapping Methods 0.000 abstract 1
- 238000007781 pre-processing Methods 0.000 abstract 1
- 238000001514 detection method Methods 0.000 description 14
- 238000005516 engineering process Methods 0.000 description 6
- 230000004043 responsiveness Effects 0.000 description 6
- 239000000523 sample Substances 0.000 description 6
- 238000003384 imaging method Methods 0.000 description 4
- 238000004422 calculation algorithm Methods 0.000 description 3
- 230000015572 biosynthetic process Effects 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000003331 infrared imaging Methods 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 238000005070 sampling Methods 0.000 description 2
- 230000011664 signaling Effects 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000000354 decomposition reaction Methods 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 230000002950 deficient Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000006073 displacement reaction Methods 0.000 description 1
- 238000005265 energy consumption Methods 0.000 description 1
- 239000000284 extract Substances 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 238000005057 refrigeration Methods 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 238000007619 statistical method Methods 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
Landscapes
- Transforming Light Signals Into Electric Signals (AREA)
- Photometry And Measurement Of Optical Pulse Characteristics (AREA)
- Radiation Pyrometers (AREA)
Abstract
A method of judging a non-effective pixel in UFPA belongs to the infrared thermal imaging technical field, and relates to a method of judging a non-effective pixel in an uncooled infrared focal plane array (UFPA) in the preprocessing stage of an image. An optimum non-effective pixel identification threshold value is automatically searched out according to the pixel response characteristic and by the method of loop iteration, and the distribution of the non-effective pixels on a focal plane is determined to form a position mapping table of non-effective pixels. Compared with the prior art, the invention does not need to set discriminant threshold of non-effective pixels according to the experience. In the process of loop iteration, with the increase of the non-effective pixels, the iteration step length is shortened increasingly. The variable length search enables the initial iteration stage to have higher velocity of convergence, and the step length is shortened increasingly so that the search is more accurate, thereby ensuring high efficiency, and accurately judging the non-effective pixels.
Description
Technical field
The invention belongs to the infrared thermal imaging technique field, relate to infrared focal plane array device, especially relate at the pretreatment stage of image method of discrimination to the invalid pixel in the un-cooled infrared focal plane array (UFPA).
Background technology
The non-refrigeration type infrared focal plane array, overcome the shortcoming that common infrared technique need be freezed, easy to use, low in energy consumption, volume is little, in light weight, obtained using widely in fields such as national defence, electric power, fire-fighting, petrochemical industry and medical treatment, in world's expanding economy, just played an important role.On the other hand, people are also more and more higher to the requirement of image quality.But because factor affecting such as the unevenness of the semiconductor material of making device, mask error, defective, technologies, non-uniform phenomenon can appear in its video output amplitude, and uneven extreme case is exactly invalid pixel.Because the existence of inhomogeneous and invalid pixel, may make smudgy, the distortion of the picture signal of being obtained, even make detector lose the ability of detection, and the existing processes technology status makes design have desirable inhomogeneity infrared focal plane detector to be difficult to realize.
In infrared imaging system, the output of the signal of UFPA is the comprehensive results of various factors such as probe unit, sensing circuit, signal processing circuit, and device and signalling channel all may cause the generation of invalid pixel.The invalid pixel of device level is meant the invalid pixel in the infrared detector array self; The invalid pixel of signalling channel level be meant that electric charge in the imaging system is read and the electronic imaging process in relevant pixel signal attenuation is formed owing to access issues invalid unit.Cause that the invalid reason of pixel is a lot, sum up and get up can have following several aspect:
1), in the UFPA manufacture process, the inhomogeneous grade of light sensitive material and wherein doping content all will cause the fluctuation of each probe unit light transfer characteristic curve and the variation of dark current, when this inconsistency is excessive, just form invalid pixel;
2), 1/f noise also can make the probe unit mis-behave, forms invalid pixel;
3), the signal charge transmission influence of reading, in the UFPA device that adopts displacement to read, the passage obstacle can make relevant pixel signal attenuation and form invalid pixel;
4), the residing temperature random variation of UFPA device work will influence the pixel performance, under the certain environment temperature, under for example too high or too low working temperature, the part pixel will produce the bad change of performance, lose detectivity, and become invalid pixel.
Certainly, cause in the factor of invalid unit the main still influence of nonuniformity, sensing circuit and the dark current of physical damage, response characteristic.The existing processes technology status can't address these problems, and makes inevitably to exist invalid pixel in the UFPA device.The existence of invalid pixel will directly influence the imaging effect of system, make in the image of output and bright spot and dim spot occur, and the existence of invalid pixel is handled as Nonuniformity Correction subsequent image, also there is very big influence in figure image intensifyings etc., the resource overhead that causes algorithm increases, even causes image processing algorithm to lose efficacy.Therefore, must differentiate and compensate invalid pixel at the image pretreatment stage, to eliminate of the influence of invalid pixel imaging system.
The differentiation of invalid pixel is most important, because excessive differentiation can increase calculated amount, also can lose image information simultaneously; Differentiating deficiency then can influence denoising effect, and the reduction system is to the detection/tracking performance of point/spot shape target.Invalid pixel method of discrimination commonly used has responsiveness detection method, deviation detection method and walkaway method.
The responsiveness detection method: the responsiveness detection method is the common method that the invalid pixel in face formation focal plane is differentiated.Responsiveness (i.e. gain) is the first-selected Rule of judgment that invalid pixel detects.The detection principle is as follows: determine a threshold value (threshold1) according to practical experience, if the gain coefficient gain＜1-threshold1 or the gain of nonuniformity correction〉1+threshold1, just judge that corresponding probe unit is invalid pixel, otherwise think effective pixel.Document (Zhou Huixin, Yin Shimin, Liu Shangqian, Deng. the infrared focal plane device blind element detects and backoff algorithm [J]. the photon journal, 2004,33 (5): 598-600.) and document (GB/T17444-1998, infrared focal plane array characterisitic parameter measuring technology standard) provided the specific implementation method.The discrimination threshold of invalid pixel is set by experience in the responsiveness detection method, does not have versatility.
The deviation detection method: the deviation detection method is another common method that the invalid pixel in face formation focal plane is differentiated.The detection principle is as follows: determine a threshold value (threshold2) according to practical experience, the threshold value of threshold value herein and responsiveness detection method is irrelevant, obtain the mean value (average) of pixel nonuniformity correction Z-factor (offset), if the offset of certain pixel＜(average-threshold2) or offset〉(average+threshold2), think that then corresponding probe unit is invalid pixel.In nonuniformity correction, Z-factor is the correction to dark current, and is quite responsive to environment temperature.Therefore, the deviation detection method has discriminating power preferably to the relative nullity pixel that variation of ambient temperature causes.But the invalid pixel to being introduced by the nonuniformity of physical damage, response characteristic etc. does not then have discriminating power.
The walkaway method: noise is a random value, follows statistical law, therefore can obtain its characteristic with statistical method.For non-refrigerating infrared focal plane, by measuring the root mean square noise that multiple image can obtain each pixel.If certain pixel is invalid pixel, there is very big difference in its root mean square noise root mean square noises general and other pixels, utilize this characteristic, can detect the invalid pixel of focal plane.As document (Shi Yan, Mao Haicen, Zhang Tianxu, Cao Zhiguo etc., a kind of new invalid pixel method of discrimination of infrared focal plane array, infrared and millimeter wave journal, 2005,24 (2): 119-124.) described based on the feature histogram decomposition.This detection method is by the analysis lot of data, extracts data characteristics and differentiates invalid pixel, so need the acquisition process of mass data, workload is big and loaded down with trivial details.
Summary of the invention
The present invention proposes invalid pixel method of discrimination among the feature of a kind of UFPA of combining and don't the UFPA that the dependence experience is determined discrimination threshold, can efficiently, accurately determine the position of invalid pixel in UFPA.
Technical matters proposed by the invention is to solve like this: invalid pixel method of discrimination of the present invention is according to the pixel response characteristic, adopt the method for loop iteration to search out optimum invalid pixel recognition threshold automatically, determine the distribution of invalid pixel on the focal plane, form an invalid pixel location map table.Compare with the invalid pixel discrimination threshold that dependence experience is in the past set, the present invention adopts the method for loop iteration to obtain the discrimination threshold of invalid pixel, and is more reasonable.
Detailed technology scheme of the present invention is as follows:
The method of discrimination of invalid pixel among a kind of UFPA may further comprise the steps:
Step 1, according to the response data of UFPA to two or more different radiometric black matrixes, calculate the gain coefficient gain of the Nonuniformity Correction of each pixel among the UFPA.
Step 2, gather UFPA to the response data of a black matrix outside the radiancy described in the step 1 or gather the response data of UFPA to the nonblackbody radiation source, and the minimum value min and the mean value a of the response data of each pixel among the statistics UFPA.
Step 3, setting initialization threshold value threshold are 1.
Step 4, judgement: if min＜0.1 * a execution in step 5, otherwise execution in step 7.
Step 5, with gain＜1-threshold among the UFPA or gain the pixel of 1+threshold is judged as invalid pixel, position and the number k of protocol failure pixel in UFPA; Adopt the interpolation penalty method that all invalid pixels are compensated processing then, promptly adopt the interpolation penalty method to calculate the former response data that the new response data of each invalid pixel is replaced corresponding invalid pixel.
Step 6, (b * k+c), wherein b, c are arithmetic number, recomputate gain coefficient gain, minimum value min and mean value a, change step 4 then over to revise threshold value threshold=threshold-threshold/.
Step 7, end.
By above operation, finally obtain position and the invalid pixel number of all invalid pixels in UFPA.
In the such scheme, the computing method of the gain coefficient gain of Nonuniformity Correction described in the step 1 generally are 2 or the multiple spot asymmetric correction methods that adopts based on demarcating.
In the such scheme, the penalty method of interpolation described in the step 5 is the compensation method of neighborhood interpolation.Specifically: for four summit pixels among the UFPA, employing be two neighborhood interpolation penalty methods; For the pixel at four edges circle place among the UFPA, employing be three neighborhood interpolation penalty methods; For the pixel beyond summit among the UFPA and the border, employing be neighbours territory or eight neighborhood interpolation penalty methods.
The infrared imaging subsequent process can be made the location map table of invalid pixel among the UFPA according to all invalid pixel positions in UFPA of described last execution in step 5 gained of step 7 to the differentiation result's of invalid pixel utilization for convenience; The location map table of described invalid pixel is a determinant that has with UFPA same number of rows and columns, and wherein, the element value of invalid pixel position is " 1 ", and effectively the element of pixel position is changed to " 0 ".
During the invalid pixel of the present invention in differentiating UFPA, along with the increase of invalid pixel number makes iteration step length progressively shorten, this elongated search makes at the iteration initial stage speed of convergence is faster arranged, progressively reduce step-size in search then, search is more accurate when making data near stationary value, thereby guarantee efficiently to judge invalid pixel accurately.
Embodiment
The present invention is further illustrated below by embodiment.
The differentiation process of the invalid pixel of infrared focus plane at 320 * 240 can be divided into three steps and realize: (1) gathers black matrix calibration data and view data, and (2) differentiate the position of invalid pixel.
Gathering black matrix calibration data and view data stage, for eliminating the influence of accidental error that the unitary sampling data occur to the result, we repeatedly sample to same target under same test condition, the assembly average of calculating sampling data, and with this response output as target.
Differentiate the stage in invalid pixel position, the response of the high low temperature black matrix that calculates as the calibration data, is calculated its gain coefficient, view data is carried out Nonuniformity Correction, loop iteration is sought the discrimination threshold of invalid pixel, distinguishes effective pixel and invalid pixel; According to final all invalid pixel positions in UFPA, make the location map table of invalid pixel among the UFPA; The location map table of described invalid pixel is a determinant that has with UFPA same number of rows and columns, and wherein, the element value of invalid pixel position is " 1 ", and effectively the element of pixel position is changed to " 0 ".
Claims (5)
1. the method for discrimination of invalid pixel among the UFPA may further comprise the steps:
Step 1, according to the response data of UFPA to two or more different radiometric black matrixes, calculate the gain coefficient gain of the Nonuniformity Correction of each pixel among the UFPA.
Step 2, gather UFPA to the response data of a black matrix outside the radiancy described in the step 1 or gather the response data of UFPA to the nonblackbody radiation source, and the minimum value min and the mean value a of the response data of each pixel among the statistics UFPA.
Step 3, setting initialization threshold value threshold are 1.
Step 4, judgement: if min＜0.1 * a execution in step 5, otherwise execution in step 7.
Step 5, with gain＜l-threshold among the UFPA or gain the pixel of 1+threshold is judged as invalid pixel, writes down position and the number k of all invalid pixels in UFPA; Adopt the interpolation penalty method that all invalid pixels are compensated processing then, promptly adopt the interpolation penalty method to calculate the former response data that the new response data of each invalid pixel is replaced corresponding invalid pixel.
Step 6, (b * k+c), wherein b, c are arithmetic number, recomputate gain coefficient gain, minimum value min and mean value a, change step 4 then over to revise threshold value threshold=threshold-threshold/.
Step 7, finish, simultaneously with all invalid pixels of last execution in step 5 gained in UFPA the position and number k as the differentiation result of invalid pixel among the final UFPA.
2. the method for discrimination of invalid pixel is characterized in that among the UFPA according to claim 1, according to all invalid pixel positions in UFPA of described last execution in step 5 gained of step 7, makes the location map table of invalid pixel among the UFPA; The location map table of described invalid pixel is a determinant that has with UFPA same number of rows and columns, and wherein, the element value of invalid pixel position is " 1 ", and effectively the element of pixel position is changed to " 0 ".
3. the method for discrimination of invalid pixel is characterized in that among the UFPA according to claim 1 and 2, and the computing method of the gain coefficient gain of Nonuniformity Correction described in the step 1 are 2 or multiple spot asymmetric correction methods that adopt based on demarcating.
4. the method for discrimination of invalid pixel is characterized in that among the UFPA according to claim 1 and 2, and the penalty method of interpolation described in the step 5 is the compensation method of neighborhood interpolation.
5. the method for discrimination of invalid pixel is characterized in that among the UFPA according to claim 4, and the compensation method of described neighborhood interpolation is for four summit pixels among the UFPA, employing be two neighborhood interpolation penalty methods; For the pixel at four edges circle place among the UFPA, employing be three neighborhood interpolation penalty methods; For the pixel beyond summit among the UFPA and the border, employing be neighbours territory or eight neighborhood interpolation penalty methods.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CNB2008100460809A CN100561149C (en) | 2008-09-17 | 2008-09-17 | The method of discrimination of invalid pixel among a kind of UFPA |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CNB2008100460809A CN100561149C (en) | 2008-09-17 | 2008-09-17 | The method of discrimination of invalid pixel among a kind of UFPA |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN101363758A true CN101363758A (en) | 2009-02-11 |
| CN100561149C CN100561149C (en) | 2009-11-18 |
Family
ID=40390249
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CNB2008100460809A Expired - Fee Related CN100561149C (en) | 2008-09-17 | 2008-09-17 | The method of discrimination of invalid pixel among a kind of UFPA |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN100561149C (en) |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101876570A (en) * | 2010-04-09 | 2010-11-03 | 中国科学院上海技术物理研究所 | Readout integrated circuit with automatic blind-pixel elimination function |
| CN102426698A (en) * | 2011-11-04 | 2012-04-25 | 中国航空工业集团公司洛阳电光设备研究所 | Method for enhancing infrared image |
| CN103076156A (en) * | 2013-01-08 | 2013-05-01 | 江苏涛源电子科技有限公司 | Multi-criteria blind pixel detection method of infrared focal planar array |
| CN104330167A (en) * | 2014-11-24 | 2015-02-04 | 浙江大立科技股份有限公司 | Infrared focal plane array dynamic blind element processing method and device |
| CN105547484A (en) * | 2015-12-03 | 2016-05-04 | 中国科学院上海技术物理研究所 | Pixel radiation response calibration method for reliability screening of linear array detector |
| CN106525245A (en) * | 2016-11-03 | 2017-03-22 | 浙江大学 | Rapid sequential blind pixel detection and correction method based on tri-gradient thresholds |
| CN106713191A (en) * | 2017-02-28 | 2017-05-24 | 西安电子科技大学 | Multistage searching SAGE method |
| CN106846292A (en) * | 2016-12-14 | 2017-06-13 | 中国资源卫星应用中心 | A kind of invalid pixel In-flight measurement method |
| CN113049118A (en) * | 2021-03-16 | 2021-06-29 | 昆明物理研究所 | Flash element testing device and method for infrared focal plane detector |
-
2008
- 2008-09-17 CN CNB2008100460809A patent/CN100561149C/en not_active Expired - Fee Related
Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101876570A (en) * | 2010-04-09 | 2010-11-03 | 中国科学院上海技术物理研究所 | Readout integrated circuit with automatic blind-pixel elimination function |
| CN102426698A (en) * | 2011-11-04 | 2012-04-25 | 中国航空工业集团公司洛阳电光设备研究所 | Method for enhancing infrared image |
| CN103076156A (en) * | 2013-01-08 | 2013-05-01 | 江苏涛源电子科技有限公司 | Multi-criteria blind pixel detection method of infrared focal planar array |
| CN104330167B (en) * | 2014-11-24 | 2017-07-18 | 浙江大立科技股份有限公司 | Infrared focal plane array dynamic blind pixel processing method and processing device |
| CN104330167A (en) * | 2014-11-24 | 2015-02-04 | 浙江大立科技股份有限公司 | Infrared focal plane array dynamic blind element processing method and device |
| CN105547484B (en) * | 2015-12-03 | 2018-07-03 | 中国科学院上海技术物理研究所 | For the pixel rdaiation response scaling method of linear array detector reliability screening |
| CN105547484A (en) * | 2015-12-03 | 2016-05-04 | 中国科学院上海技术物理研究所 | Pixel radiation response calibration method for reliability screening of linear array detector |
| CN106525245A (en) * | 2016-11-03 | 2017-03-22 | 浙江大学 | Rapid sequential blind pixel detection and correction method based on tri-gradient thresholds |
| CN106525245B (en) * | 2016-11-03 | 2018-10-30 | 浙江大学 | A kind of detection of quick sequential blind element and bearing calibration based on three Grads threshold |
| CN106846292A (en) * | 2016-12-14 | 2017-06-13 | 中国资源卫星应用中心 | A kind of invalid pixel In-flight measurement method |
| CN106846292B (en) * | 2016-12-14 | 2019-08-27 | 中国资源卫星应用中心 | A kind of invalid pixel In-flight measurement method |
| CN106713191A (en) * | 2017-02-28 | 2017-05-24 | 西安电子科技大学 | Multistage searching SAGE method |
| CN113049118A (en) * | 2021-03-16 | 2021-06-29 | 昆明物理研究所 | Flash element testing device and method for infrared focal plane detector |
| CN113049118B (en) * | 2021-03-16 | 2021-11-19 | 昆明物理研究所 | Flash element testing device and method for infrared focal plane detector |
Also Published As
| Publication number | Publication date |
|---|---|
| CN100561149C (en) | 2009-11-18 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN100561149C (en) | The method of discrimination of invalid pixel among a kind of UFPA | |
| CN104330164B (en) | The blind pixel detection method and device of infrared focal plane array | |
| CN103076156B (en) | Multi-criteria blind pixel detection method of infrared focal planar array | |
| CN102818636A (en) | Radiometric calibration method for low-temperature measurement of thermal infrared imager | |
| CN103335721A (en) | Scene matching-based dynamic blind pixel detection method for infrared focal plane array | |
| CN101566503A (en) | High-temperature field measuring instrument of CCD image sensor | |
| CN113267258B (en) | Infrared temperature measurement method, device, equipment, intelligent inspection robot and storage medium | |
| CN103335722B (en) | Thermal infrared imager bearing calibration | |
| CN107341780B (en) | Infrared image preprocessing correction method | |
| CN109738072A (en) | A kind of cross blind element detection of InGaAs short-wave infrared imager and means for correcting and method | |
| Sheng et al. | Calibration-based NUC method in real-time based on IRFPA | |
| CN102214354A (en) | Method for detecting invalid pixels of infrared image in real time | |
| CN101000264B (en) | Method for spectral temperture measuring by Wien''s displacement law | |
| CN105991997B (en) | A kind of method that condenser type imaging sensor bad point positions in real time | |
| CN109990902B (en) | Method for estimating brightness and temperature of target by spectrum segments associated with map | |
| CN107833223B (en) | Fruit hyperspectral image segmentation method based on spectral information | |
| CN105279244B (en) | The method for building up in sugarcane seed bud characteristic classification data library | |
| CN108827915B (en) | Sub-pixel position obtaining method based on photoelectric sensing array for measuring refractive index | |
| Feng et al. | Infrared image recognition technology based on visual processing and deep learning | |
| Li | Research on target information optics communications transmission characteristic and performance in multi-screens testing system | |
| CN111207833A (en) | Temperature measurement method based on image data normalization technology | |
| CN112212981A (en) | Human body temperature measuring method | |
| CN108844637B (en) | InGaAs FPAs assembly performance evaluation device based on image quality and application thereof | |
| CN117710366B (en) | Quality inspection method and device for thermos cup and storage medium | |
| CN118552798B (en) | Infrared photovoltaic hot spot detection method for multi-scale center surrounding inhibition |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| ASS | Succession or assignment of patent right |
Owner name: WUXI ALEADER INTELLIGENT TECHNOLOGY CO., LTD. Free format text: FORMER OWNER: UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA Effective date: 20121226 |
|
| C41 | Transfer of patent application or patent right or utility model | ||
| COR | Change of bibliographic data |
Free format text: CORRECT: ADDRESS; FROM: 610054 CHENGDU, SICHUAN PROVINCE TO: 214000 WUXI, JIANGSU PROVINCE |
|
| TR01 | Transfer of patent right |
Effective date of registration: 20121226 Address after: 214000 Jiangsu New District of Wuxi City Linghu Road No. 200 China Sensor Network International Innovation Park A district four floor Patentee after: Wuxi Aleader Intelligent Technology Co.,Ltd. Address before: 610054 No. two, Jianshe North Road, Chengdu, Sichuan, 4 Patentee before: University of Electronic Science and Technology of China |
|
| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20091118 |