CN114264381B - Double subarray 288 x 4 refrigeration infrared detector data processing method and system - Google Patents
Double subarray 288 x 4 refrigeration infrared detector data processing method and system Download PDFInfo
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Abstract
The invention discloses a data processing method and a system of a double-subarray 288 multiplied by 4 refrigeration infrared detector, wherein the method comprises the following steps: acquiring 8-channel detector data output by the detectors in parallel; according to the spatial positions of the single-channel pixels of the detector, the data of each channel detector is decomposed into two groups in a speed reducing way, and 16 groups with the same spatial positions are obtained; combining 16 groups into 4 large groups by combining the actual spatial position distribution of the detector pixels; determining the photosensitive imaging sequence of the targets by the 4 groups, delaying the group with the front photosensitive imaging sequence, and then synthesizing with the group with the rear photosensitive imaging sequence; the synthesized data is reversely recombined into 8-channel parallel output, then converted into 1-channel serial data and reordered. The data of the double-subarray 288 multiplied by 4 refrigeration infrared detector are corrected simultaneously from two directions of mutual intersection of time and space, and the data correction sequencing of the double-subarray 288 multiplied by 4 refrigeration infrared detector is completed for subsequent further digital image processing.
Description
Technical Field
The invention belongs to the technical field of infrared imaging, and particularly relates to a data processing method and system of a double-subarray 288 multiplied by 4 refrigeration infrared detector.
Background
With the development of photoelectric imaging technology, infrared imaging technology is widely used in various fields. The scanning type refrigeration detector has high sensitivity and low cost, and is widely applied to satellites, ships, airplanes and war carts, and detectors such as long-line columns, N series (such as 288×4, 480×6, 576×4, 576×6, 768×8 and 1024×6) and the like are widely used in the occasions, and the series of detectors have irreplaceable functions in specific photoelectric devices.
The photosensitive elements of the scanning refrigeration infrared detector are arranged in a delta shape in space arrangement, and the sensitivity and the signal-to-noise ratio of the detector can be increased by using a multi-stage TDI (time delay integration) technology. The spatial distribution of the double subarrays 288 x 4 refrigeration infrared detector is different from that of the conventional 288 x 4 and 576 x 6 detectors, and the double subarrays are staggered by four 144 x 4 subarrays, and each array is staggered by 14 micrometers in the vertical scanning direction. The function of vertical micro scanning is realized physically without adding an extra mechanism. The size of the imaging target surface of the detector is similar to that of a conventional 288 multiplied by 4 detector, and the refrigerating capacity of the target surface of the detector is not required to be increased, so that the power consumption of the refrigerator is equivalent to that of the conventional 288 multiplied by 4 detector. The size of the target surface of the conventional 576×6 detector is large, and the power of the refrigerator is high. Thus, dual sub-arrays 288 x 4 refrigerated infrared detectors have great advantages over conventional 576 x 6 detectors in achieving 768 x 576 resolution imaging.
The conventional scanning infrared detector only relates to spatial data correction, and the spatial position of the double-subarray 288 multiplied by 4 refrigeration infrared detector is greatly different from that of the conventional detector. The double subarray 288 x 4 refrigeration infrared detector not only relates to space data correction, but also relates to time data correction.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a double-subarray 288 multiplied by 4 refrigeration infrared detector data processing method and a system, which solve the problem of space and time correction of double-subarray 288 multiplied by 4 refrigeration infrared detector data.
In order to achieve the above purpose, the invention provides a double subarray 288×4 refrigeration infrared detector data processing method, which comprises the following steps:
acquiring 8-channel detector data output by double subarrays 288×4 refrigeration infrared detectors in parallel;
according to the spatial positions of the single-channel pixels of the detector, the data of each channel detector is decomposed into two groups in a speed reducing way, and 16 groups with the same spatial positions are obtained;
combining the actual spatial position distribution of the detector pixels, and grouping 16 groups with the same spatial position into 4 groups;
determining the photosensitive imaging sequence of the targets by the 4 groups, delaying the group with the front photosensitive imaging sequence, and then synthesizing with the group with the rear photosensitive imaging sequence;
and reversely recombining the synthesized data into 8-channel parallel output, and then converting the 8-channel parallel output into 1-channel serial data and reordering.
In some alternative embodiments, a large set of delays is implemented using FIFOs.
In some alternative embodiments, the 4 large groups are buffered into the FIFO in turn in the photoimaging order and then read out simultaneously.
In some alternative embodiments, the first 3 major groups of the photoimaging sequence are sequentially buffered into the FIFO according to the photoimaging sequence, the last major group of the photoimaging sequence not participating in the buffering.
In some alternative embodiments, reordering of serial data is achieved using dual port RAM.
The invention also provides a double-subarray 288 multiplied by 4 refrigeration infrared detector data processing system, which comprises:
the data acquisition module is used for acquiring 8-channel detector data output by the double-subarray 288 multiplied by 4 refrigeration infrared detectors in parallel;
the speed reduction decomposition module is used for decomposing the data of each channel detector into two groups in a speed reduction manner according to the spatial positions of the single-channel pixels of the detector to obtain 16 groups with the same spatial positions;
the grouping combination module is used for combining the actual spatial position distribution of the detector pixels and combining 16 groupings with the same spatial position into 4 groups;
the large group delay module is used for determining the photosensitive imaging sequence of the 4 large groups on the target, delaying the large group with the front photosensitive imaging sequence, and then synthesizing the large group with the rear photosensitive imaging sequence;
and the reorganization and sequencing module is used for reversely reorganizing the synthesized data into 8-channel parallel output, converting the 8-channel parallel output into 1-channel serial data and reordering.
Compared with the prior art, the invention has the following advantages:
the data of the double-subarray 288 multiplied by 4 refrigeration infrared detector are corrected simultaneously from two directions of mutual intersection of time and space, and the data correction sequencing of the double-subarray 288 multiplied by 4 refrigeration infrared detector is completed for subsequent further digital image processing.
Drawings
FIG. 1 is a flow chart of a data processing method of a double subarray 288×4 refrigeration infrared detector;
FIG. 2 is a diagram of pixel distribution of a dual sub-array 288 x 4 refrigerated infrared detector;
FIG. 3 is a schematic diagram of single channel data decomposition of the detector.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention. In addition, the technical features of the embodiments of the present invention described below may be combined with each other as long as they do not collide with each other.
The invention fully utilizes the pixel distribution characteristics of the infrared detector, as shown in fig. 2, reduces the speed, decomposes and reorganizes the data of each channel of the parallel output detector, regroups the data according to the actual spatial position distribution of pixels, judges which position the pixel data is in, and adopts a necessary processing method according to the judgment result to realize the processing of the output data of the double subarrays 288 multiplied by 4 refrigeration infrared detector.
More specifically, considering that the detector is 8-channel parallel output, the output pixel distribution of each channel has both temporal correlation and different spatial positions. Under the action of the detector digital timing signal MC, the outputs of the 8 paths of detector channels (the following 1, 3, etc. represent the information of the positions of the pixel 1, the pixel 3, etc.) are respectively:
OUT1:1、3、5、7、…141、143；
OUT2:2、4、6、8、…142、144；
OUT3:145、147、149、151、…285、287；
OUT4:146、148、150、152、…286、288；
OUT5:289、291、293、295、…429、431；
OUT6:290、292、294、296、…430、432；
OUT7:433、435、437、439、…573、575；
OUT8:434、436、438、440、…574、576；
according to the difference of the spatial positions of the single-channel pixels of the detector, the datA of each channel detector is decomposed into two groups of datA at A reduced speed, and the two groups of datA are respectively marked as OUT N-A and OUT N-B.
The 8 channels were then divided into 4 large groups, each denoted PA, PB, PC, PD, in combination with the overall spatial position distribution.
PA：OUT1-A、OUT3-A、OUT5-A、OUT7-A；
PB：OUT1-B、OUT3-B、OUT5-B、OUT7-B；
PC：OUT2-A、OUT4-A、OUT6-A、OUT8-A；
PD：OUT2-B、OUT4-B、OUT6-B、OUT8-B；
According to the characteristics of the scanning detector, the TDI scanning direction is assumed to fix dir=0, the pa group pixels encounter the target before the PB group pixels, and the photosensitive imaging sequence of the target is PA, PB, PC, PD. It can be seen that imaging the same target, the PD group pixel is the latest in exposure time to the target. And therefore, the FPGA is used for delaying the pixel data which are output firstly and then synthesizing the pixel data with the data which are output later, namely, PA, PB and PC are sequentially cached into the FIFO, and after the PD group finishes the sensitization to the target, 16 groups of data are read out simultaneously. The 16 groups of OUTN-A and OUTN-B were then combined into NEW 8 channels, NEW-OUT1, NEW-OUT2, NEW-OUT3, NEW-OUT4, NEW-OUT5, NEW-OUT6, NEW-OUT7, NEW-OUT8. At this time, the space correction of the detector data is completed, the disordered sequence changing work of the detector data is completed, and the sorting of the detector data is completed by utilizing the ping-pong operation, time-sharing reading and writing of the dual-port RAM module of the FPGA.
After the processing by the method, the detector 8 paths of parallel output are completed to one path of serial data output, and the data output formats of the detector are synthesized and sequenced according to 1, 2, 3, …, 574, 575 and 576 for subsequent digital image processing.
The data processing method of the double-subarray 288 multiplied by 4 refrigeration infrared detector in the embodiment of the invention, as shown in figure 1, comprises the following steps:
in step S1, the detector 8 analog outputs complete conventional analog-to-digital conversion, each path represents 72 pixel data, and each channel is sequentially sent into the FPGA at the beat of the detector timing signal MC.
In step S2, 8 paths of detector signals input into the FPGA are sent to a buffer for one beat, so that the clock domain is the same as that of other program modules in the FPGA.
In step S3, the 8-channel detector data is decomposed into 16 (36 pieces of pixel data per channel) spatially identical packets at a frequency of 0.5 MC. FIG. 3 is a schematic diagram of single channel detector data decomposition into 2 sets of data.
OUT1-A：1、5、9、…、137、141；
OUT1-B：3、7、11、…、139、143；
OUT2-A：2、6、10、…、138、142；
OUT2-B：4、8、12、…、140、144；
OUT3-A：145、149、153、…、281、285；
OUT3-B：147、151、155、…、283、287；
OUT4-A：146、150、154、…、282、286；
OUT4-B：148、152、156、…、284、288；
OUT5-A：289、293、297、…、425、429；
OUT5-B：291、295、299、…、427、431；
OUT6-A：290、294、298、…、426、430；
OUT6-B：292、296、300、…、428、432；
OUT7-A：433、437、441、…、569、573；
OUT7-B：435、439、443、…、571、575；
OUT8-A：434、438、442、…、570、574；
OUT8-B：436、440、444、…、572、576。
The 8 channels are divided into 4 groups of data, which are respectively marked as PA, PB, PC, PD, by combining the difference of the space positions. As shown in fig. 2, PA is the leftmost column, PB is the left middle column, PC is the right middle column, and PD is the rightmost column.
PA：OUT1-A、OUT3-A、OUT5-A、OUT7-A；
PB：OUT1-B、OUT3-B、OUT5-B、OUT7-B；
PC：OUT2-A、OUT4-A、OUT6-A、OUT8-A；
PD：OUT2-B、OUT4-B、OUT6-B、OUT8-B。
In step S4, the data buffering module, according to the spatial distribution characteristics of the type of detector, assumes the TDI direction dir=0, and the asynchronous FIFO buffering module is designed as follows:
PD group lag PC group head pixel position:
as shown in fig. 2, the distance between the PD group first pixel position and the PC group first pixel position is 100 and 3 pixel intervals. The result is 16 columns after rounding, so the PC group detector data needs to be delayed by 16 columns to be aligned with the PD group data.
PD group lag PB group head pixel position:
the PB group detector data is 34 columns after rounding, so the PB group detector data needs to be delayed by 34 columns to be aligned with the PD group data.
PD block lags PA group head pixel position:
the PA group detector data is 50 columns after rounding, so the PA group detector data needs to be aligned with the PD group data by delaying 50 columns.
Writing the PA group data OUT1-A, OUT3-A, OUT5-A, OUT7-A into the FIFO1 at the frequency of 0.5MC to realize 50-column buffering, and then reading OUT the PA group data at the frequency of MC; the PB group data OUT1-B, OUT3-B, OUT5-B, OUT7-B is written into the FIFO2 at the frequency of 0.5MC to realize 34-column buffering and then is read OUT at the frequency of MC; the PC group OUT2-A, OUT4-A, OUT6-A, OUT8-A is written into the FIFO3 at the frequency of 0.5MC to realize 16-column caching, then is read OUT at the MC frequency, and the OUT2-B, OUT4-B, OUT6-B, OUT8-B of the PD group does not participate in caching.
If the TDI direction DIR=1, writing PD group data OUT2-B, OUT4-B, OUT6-B, OUT8-B into the FIFO1 at the frequency of 0.5MC to realize 50-column buffering, and then reading OUT at the MC frequency; writing the PC group data OUT2-A, OUT4-A, OUT6-A, OUT8-A into the FIFO2 at the frequency of 0.5MC to realize 34-column buffering, and then reading OUT the data at the MC frequency; writing PB group OUT1-B, OUT3-B, OUT5-B, OUT7-B into FIFO3 at 0.5MC frequency to realize 16 column cache, and then reading at MC frequency; the PA group data OUT1-A, OUT3-A, OUT5-A, OUT7-a does not participate in the caching.
In step S5, 12 data buffered in the FIFO and 4 data not participating in buffering are recombined into 8-way output.
NEW-OUT1:1、3、5、7、…141、143；
NEW-OUT2:2、4、6、8、…142、144；
NEW-OUT3:145、147、149、151、…285、287；
NEW-OUT4:146、148、150、152、…286、288；
NEW-OUT5:289、291、293、295、…429、431；
NEW-OUT6:290、292、294、296、…430、432；
NEW-OUT7:433、435、437、439、…573、575；
NEW-OUT8:434、436、438、440、…574、576；
In step S6, a parallel data to serial data function is realized, 8 paths of parallel data of the newly constructed detector are completed and the parallel-serial function is completed by using a clock of 8 times of frequency MC, 1 path of serial data is formed, and the conversion result is:
1. 2, 145, 146, 289, 290, 433, 434, 3, 4, 147, 148, … …, 143, 144, 287, 288, 431, 432, 575, 576, the detector data at this time is still out of order.
In step S7, reordering of serial data is achieved using 2 dual port RAMs. The write addresses of the RAM modules are generated from address tables stored in advance in the ROM, and the write addresses are 1, 2, 145, 146, …, 431, 432, 575, 576, which are consistent with the data of NEW-OUT. The read addresses of the RAM are 1, 2, 3, …, 574, 575, 576.
The specific method comprises the following steps: the RAM1 is written, the pixel 1 is written into the storage position 1 of the dual-port RAM, the pixel 2 is written into the storage position 2 of the dual-port RAM, the pixel 145 is written into the storage position 145 of the dual-port RAM, and the like, and the information of the pixel is written into the position of the corresponding memory. At this time, the RAM2 sequentially reads 1, 2, 3, 4, …, 573, 574, 575, 576 in order to complete the synthesis sequencing of the detector signals. And similarly, at the next moment, the RAM2 is written, the RAM1 is read, the RAM1 and the RAM2 realize the ping-pong operation of reading and writing, and the time-sharing reading and writing can ensure that the signals of the detector are output without interruption according to the sequence of 1, 2, 3, 4, …, 573, 574, 575 and 576.
The invention provides a data processing method with simple realization and low resource occupation for a double subarray 288 multiplied by 4 refrigeration infrared detector. The method is used in the existing equipment and has good effect.
The invention also provides a double-subarray 288 multiplied by 4 refrigeration infrared detector data processing system, which comprises:
the data acquisition module is used for acquiring 8-channel detector data output by the double-subarray 288 multiplied by 4 refrigeration infrared detectors in parallel;
the speed reduction decomposition module is used for decomposing the data of each channel detector into two groups in a speed reduction manner according to the spatial positions of the single-channel pixels of the detector to obtain 16 groups with the same spatial positions;
the grouping combination module is used for combining the actual spatial position distribution of the detector pixels and combining 16 groupings with the same spatial position into 4 groups;
the large group delay module is used for determining the photosensitive imaging sequence of the 4 large groups on the target, delaying the large group with the front photosensitive imaging sequence, and then synthesizing the large group with the rear photosensitive imaging sequence;
and the reorganization and sequencing module is used for reversely reorganizing the synthesized data into 8-channel parallel output, converting the 8-channel parallel output into 1-channel serial data and reordering.
It should be noted that each step/component described in the present application may be split into more steps/components, or two or more steps/components or part of the operations of the steps/components may be combined into new steps/components, as needed for implementation, to achieve the object of the present invention.
It will be readily appreciated by those skilled in the art that the foregoing is merely a preferred embodiment of the invention and is not intended to limit the invention, but any modifications, equivalents, improvements or alternatives falling within the spirit and principles of the invention are intended to be included within the scope of the invention.
Claims (6)
1. The data processing method of the double-subarray 288 multiplied by 4 refrigeration infrared detector is characterized by comprising the following steps of:
the method comprises the steps of obtaining 8-channel detector data output by double subarrays 288 multiplied by 4 refrigeration infrared detectors in parallel, wherein the 8-channel detector data are respectively as follows: OUT1: 1. 3, 5, 7, …, 141, 143; OUT2: 2. 4, 6, 8, …, 142, 144; OUT3: 145. 147, 149, 151, … 285, 287; OUT4: 146. 148, 150, 152, …, 286, 288; OUT5: 289. 291, 293, 295, … 429, 431; OUT6: 290. 292, 294, 296, …, 430, 432; OUT7: 433. 435, 437, 439, … 573, 575; OUT8: 434. 436, 438, 440, … 574, 576; wherein 1, 2, 3 … 576 represent information of pixel 1, pixel 2, pixel 3 …, pixel 576 positions, respectively;
according to the spatial position of the single-channel pixel of the detector, the data of each channel detector is decomposed into two groups by 0.5MC frequency in a deceleration way, and 16 groups with the same spatial position are obtained by the data of the 8 channels of detectors; wherein each packet includes 36 pixel data;
combining the actual spatial position distribution of the detector pixels, sequentially grouping 16 groups with the same spatial position into 4 groups according to the sequence of imaging the target photosensitive; wherein each big group comprises 4 packets;
determining the photosensitive imaging sequence of the 4 groups to the target, delaying the group with the front photosensitive imaging sequence, then synthesizing with the group with the rear photosensitive imaging sequence, and then simultaneously reading out 16 grouping data;
two packet data belonging to the same channel are reversely recombined into one channel, the total reverse recombination is carried out to form 8 channels, and then the parallel output of the 8 channels is converted into 1-channel serial data and reordered.
2. The method for processing data of a dual sub-array 288 x 4 refrigerated infrared detector as set forth in claim 1 wherein the large group of delays is implemented using FIFOs.
3. The method for processing data of the double-subarray 288 x 4 refrigerated infrared detector according to claim 2, wherein the 4 large groups are sequentially buffered in the FIFO according to the photosensitive imaging sequence and then read out simultaneously.
4. The data processing method of the double-subarray 288×4 refrigerating infrared detector according to claim 2, wherein the first 3 main groups in the photosensitive imaging sequence are sequentially buffered in the FIFO according to the photosensitive imaging sequence, and the last main group in the photosensitive imaging sequence does not participate in buffering.
5. The method for processing data of the dual sub-array 288 x 4 refrigerated infrared detector according to claim 1, wherein the reordering of serial data is realized by using a dual port RAM.
6. A dual sub-array 288 x 4 refrigerated infrared detector data processing system, comprising:
the data acquisition module is used for acquiring the 8-channel detector data output by the double-subarray 288 multiplied by 4 refrigeration infrared detector in parallel, and the data acquisition module is respectively as follows: OUT1: 1. 3, 5, 7, …, 141, 143; OUT2: 2. 4, 6, 8, …, 142, 144; OUT3: 145. 147, 149, 151, … 285, 287; OUT4: 146. 148, 150, 152, …, 286, 288; OUT5: 289. 291, 293, 295, … 429, 431; OUT6: 290. 292, 294, 296, …, 430, 432; OUT7: 433. 435, 437, 439, … 573, 575; OUT8: 434. 436, 438, 440, … 574, 576; wherein 1, 2, 3 … 576 represent information of pixel 1, pixel 2, pixel 3 …, pixel 576 positions, respectively;
the speed reduction decomposition module is used for reducing and decomposing the data of each channel detector into two groups by using 0.5MC frequency according to the spatial position of the single-channel pixel of the detector, and 16 groups with the same spatial position are obtained by the data of the 8-channel detector; wherein each packet includes 36 pixel data;
the grouping combination module is used for sequentially grouping 16 groups with the same spatial position into 4 groups according to the actual spatial position distribution of the detector pixels and the target photosensitive imaging sequence; wherein each big group comprises 4 packets;
the large group delay module is used for determining the photosensitive imaging sequence of the 4 large groups on the target, delaying the large group with the front photosensitive imaging sequence, then combining the large group with the rear photosensitive imaging sequence, and then simultaneously reading out 16 grouping data;
and the reorganization and sequencing module is used for reorganizing two packet data belonging to the same channel into one channel in a reverse direction, reorganizing the two packet data into 8 channels in a total reverse direction, and then converting the parallel output of the 8 channels into 1-channel serial data and re-sequencing the serial data.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2003051115A (en) * | 2001-08-06 | 2003-02-21 | Ricoh Co Ltd | Optical disk device |
| CN103326772A (en) * | 2013-05-29 | 2013-09-25 | 武汉光迅科技股份有限公司 | Mini-sized array detector |
| DE102013207402A1 (en) * | 2013-04-24 | 2014-10-30 | SCiLS GmbH | Method for the computer-aided processing of spatially resolved hyperspectral data, in particular mass spectrometry data |
| CN104297937A (en) * | 2014-07-28 | 2015-01-21 | 中国科学院西安光学精密机械研究所 | 90-degree optical mixer based on transverse shearing interferometer |
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| JP2014510270A (en) * | 2011-02-17 | 2014-04-24 | アナロジック コーポレイション | Detector array whose effective size is larger than the actual size {DETECTORARRAYHAVINGFFECTIVESIZELARGERTHANACTALSIZE} |
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Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2003051115A (en) * | 2001-08-06 | 2003-02-21 | Ricoh Co Ltd | Optical disk device |
| DE102013207402A1 (en) * | 2013-04-24 | 2014-10-30 | SCiLS GmbH | Method for the computer-aided processing of spatially resolved hyperspectral data, in particular mass spectrometry data |
| CN103326772A (en) * | 2013-05-29 | 2013-09-25 | 武汉光迅科技股份有限公司 | Mini-sized array detector |
| CN104297937A (en) * | 2014-07-28 | 2015-01-21 | 中国科学院西安光学精密机械研究所 | 90-degree optical mixer based on transverse shearing interferometer |
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