IRFPA积分时间自适应预测方法研究

积分时间是决定红外焦平面阵列(IRFPA) 成像质量的关键因素。针对红外测量系统难以实时自动确定积分时间的问题,提出基于人眼视觉特性和事前辐射标定的积分时间自适应预测方法。假定目标和背景在连续两帧内不突变, 结合事前辐射标定结果、目标和背景信息反演计算各积分时间的目标和背景灰度,以人眼视觉特性和跟踪判据为调节依据,自动预测合适的积分时间。实验结果表明, 该方法能自适应快速预测满足要求的积分时间,使获取的图像处于线性区中段,保证了成像质量, 有利于目标的初始捕获和平稳跟踪。

Abstract

Integral time is the key factor to determine infrared focal plane arrays (IRFPA) imaging quality. In order to solve the problem that a infrared measurement system can’t real-time determine the optimal integration time, an IRFPA integral time adaptive predictive method based on radiation calibration and human visual characteristics was brought forward. Supposing the target and background in two consecutive frames don’t change, the information of target and background during the other integral time can be computed by combining with the results of prior radiation calibration and the information of target and background. Then, the optimal integral time can be determined automatically by the judgment based on human visual characteristics and tracking criterion. Experimental results show that the method can rapidly predict the optimal integral time, and make the image in the middle of the IRFPA response linear region. The method can not only ensure the image quality but also be conducive to the target initial capture and stable tracking.

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李满良, 吴钦章, 曹晓伟. IRFPA积分时间自适应预测方法研究[J]. 量子电子学报, 2013, 30(5): 536. LI Man-liang, WU Qin-zhang, CAO Xiao-wei. Investigation of adaptive predictive methed of IRFPA integral time[J]. Chinese Journal of Quantum Electronics, 2013, 30(5): 536.

IRFPA积分时间自适应预测方法研究

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