期刊文献+

1024元长线列红外探测器的数据采集技术 被引量:2

Data acquisition of 1 024-pixel long linear infrared detectors
下载PDF
导出
摘要 介绍了一种FPGA实现1 024元长线列红外探测器的数据实时采集处理技术。提出了一种FPGA实现探测器奇偶行对齐的实现方法;改进了二维线性外推盲元检测补偿算法,在对角线方向上进行盲元检测与补偿,解决了多盲元连通时检测效率低的问题;采用定点乘法器和加法器完成了探测器的均匀性校正。实验结果表明:该数据采集处理技术能够提高数据传输处理效率,具有良好的实时性和可移植性。 A real-time data acquisition and processing technique of long linear infrared detectors which was realized on FPGA was introduced. A method of rearrangement of parity line detectors was illustrated with FPGA. By illustrating traditional 2D linear extrapolation blind pixel detection and restoration algorithm, an improved one, which well fitted the case when several blind pixels bordered each other and reduced the detection and restoration efficiency, was proposed. Non-uniformity correction (NUC) of detectors was implemented inside FPGA by referring to the proposed data processing organization. The experiment results show that the mentioned data acquisition and processing techniques can raise data transmission efficiency to a great degree. Meanwhile, it possesses the characteristic of well real-time and can be widely applied in related area.
出处 《红外与激光工程》 EI CSCD 北大核心 2012年第8期1990-1994,共5页 Infrared and Laser Engineering
关键词 数据采集 长线列 实时性 盲元检测补偿 data acquisition long linear real-time blind pixel detection and restoration
  • 相关文献

参考文献8

  • 1Sanjay Krishna. The infrared retina [J]. Applied Physics, 2009, 42: 1-6.
  • 2龚海梅,刘大福.航天红外探测器的发展现状与进展[J].红外与激光工程,2008,37(1):18-24. 被引量:47
  • 3Hiroshi Sugiyama, Jun Koshoubu, Seiichi Kashiwabara, et al. Time-resolved step-scan infrared imaging system utilizing a linear array detector[J]. Appl Spectrosc, 2008, 62(1): 7-23.
  • 4高颖慧,沈振康.航空摇摆图像组的配准拼接算法[J].红外与激光工程,2009,38(1):170-174. 被引量:3
  • 5史衍丽,曹婉茹,周艳,杨明珠,何丹.2μm像元间距GaAs/AlGaAs量子阱红外焦平面探测器[J].红外与激光工程,2008,37(6):968-971. 被引量:6
  • 6Hou Liwei, Xie Wei, Chen Fansheng, et al. Image restoration of infrared focal plane array[C]//IASP, 2010: 296-299.
  • 7McClelland J R, Hughes S, Modat M, et al. Inter-fraction variations in respiratory motion models [J]. Physics in Medicine and Biology, 2011, 56(1): 251-272.
  • 8Goyal P. Studying the performance parameters on real infrared image/data and evaluation by application of the NUC algorithm[C]//Control and Robotics, 2010: 65-70.

二级参考文献24

  • 1张显全,唐振军,卢江涛.基于线匹配的图像拼接[J].计算机科学,2005,32(1):221-223. 被引量:8
  • 2冯雪艳.红外遥感技术的军事应用[J].国防技术基础,2006(5):28-30. 被引量:3
  • 3张焕龙,杨国胜,王婷,申晓华.基于局部熵和渐变因子的自适应图像拼接[J].计算机工程与应用,2006,42(22):72-74. 被引量:2
  • 4美国天基预警系统[J].卫星侦察参考资料,1996(3):28-37. 被引量:1
  • 5梁忠伟,叶邦彦,徐兰英,彭锐涛.基于图像区域像素二阶中心矩的集成电路芯片图像拼接技术[J].现代制造工程,2007(7):97-101. 被引量:1
  • 6CABANSKI W, BREITER R,KOCH R, et al.Third gen focal plane array IR detection modules at AIM [J].Infrared Physics & Technology,2002,43(3): 257-263.
  • 7BOIS P,COSTARD E,MARCADET X, et al.Development of quantum well infrared photodetectors in France [J].Infrared Physics & Technology, 2001,42 : 291-300.
  • 8REHM R, WALTHER M, FLEIβNER J,et al.Bispectral thermal imaging with quantum well infrared photodetectors and InAs/GaSb type-Ⅱ superlattices[C]//Proceedings of SPIE, Infrared Technology and Applications XXXII, 2006, 6206: 62060Y- 1 -62060Y- 11.
  • 9CASTELEIN P, GUELLEC F, ROTHAN F,et al.Demonstration of 256 ×256 dual-band QWIP infrared FPAs [C]// Proceedings of SPIE, Infrared Technology and Applications XXXI,2005,5783:804-815.
  • 10GUNAPALA S D, BANDARA S V, LIU J K, et al. Long- wavelength 256 ×256 GaAs/A1GaAs quantum well infrared photodetector (QW1P) palm-size camera [J].IEEE Transactions on Electron Devices, 2000,47 ( 2 ) :326-332.

共引文献53

同被引文献20

  • 1李怀琼,陈钱,高文昆.红外焦平面阵列失效元动态检测与校正算法[J].红外与激光工程,2006,35(2):192-196. 被引量:15
  • 2张科,赵桂芳,崔瑞青,袁祁刚.一种提高红外焦平面阵列盲元检测精度的方法[J].红外与激光工程,2007,36(4):453-456. 被引量:19
  • 3Materazzi S, Vecchio S. Recent applications of evolved gas anal ysis by infrared spectroscopy (IR-EGA) [J]. Applied Spectroscopy Reviews, 2013, 48(8): 654-689.
  • 4Sepman A V, den Blanken R, Schepers R, et al. Quantitative fourier transform infrared diagnostics of the gas-phase composition using the HITRAN database and the equivalent width of the spectral features [J]. Appl Speetrosc, 2009, 63(11): 1211-1222.
  • 5Kalivas J H. Multivariate calibration, an overview [J]. Analytical Letters, 2005, 38(14): 2259-2279.
  • 6Kunz M R, Ottaway J, Kalivas J H, et al. Impact of standardization sample design on Tikhonov regularization variants for spectroscopic calibration maintenance and transfer [J]. Journal of Chemometries, 2010, 24(3-4SI): 218-229.
  • 7Zeng T, Wen Z, Wen Z, et al. Weighted fusion of multiple models for wavelength selection[J]. Appl Spectrosc, 2013, 67 (7): 718-723.
  • 8Zou H, Hastie T. Regularization and variable selection via the elastic net[J]. Journal of the Royal Statistical Society Series B-statistical Methodology, 2005, 67(Part 2): 301-320.
  • 9Friedman J H, Hastie T, Tibshirani R. Regularization paths for generalized linear models via coordinate descent [J]. Journal of Statistical Software, 2010, 33(1): 1-22.
  • 10Dyar M D, Carmosino M L, Breves E A, et al. Comparison of partial least squares and lasso regression techniques as applied to laser -induced breakdown spectroscopy of geological samples [J]. Spectrochimica Acta Part B-atomic Spectroscopy, 2012, 70: 51-67.

引证文献2

二级引证文献10

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部