基于辐射定标的像元级双增益红外图像重构

行麦玲; 杨小乐; 邓旭光; 杨天远

红外技术, 2020, 42 (7): 670, 网络出版: 2020-08-18

基于辐射定标的像元级双增益红外图像重构

Pixel-Level Dual-Gain Infrared Image Reconstruction Based on Radiance Calibration

论文大纲

行麦玲 ^*杨小乐邓旭光杨天远

作者单位

北京空间机电研究所，北京 100094

红外成像像元级双增益图像重构 infrared imaging, pixel-level, reconstruction of d

摘要

非均匀性校正精度是空间红外相机图像质量的一项重要指标，采用像元级双增益时间延迟积分（Time Delay and Integration，TDI）红外探测器得到的图像，其校正精度与图像数据重构之后的线性度直接相关。分析了红外TDI 探测器像元级双增益成像时探测器输出信号的特点，在此基础上提出基于辐射定标的方法，精确得到探测器每个像元高低增益输出值之间的等量关系，确定每个像元的数据重构系数，提高重构之后的全动态范围内探测器信号的线性度，从而提高红外图像非均匀性校正精度。实验室测试数据验证结果表明，基于辐射定标的高精度线性重构方法，将红外图像的非均匀性校正精度由4.1%提高到1.2%。

Abstract

Nonuniformity is a key indicator of the image data quality of a remote infrared sensor. The uniformity correction residual of the image obtained by a pixel-level, dual-gain, time delayed and integration(TDI) detector is closely related to the linearity after reconstruction. In this study, the signal readout process of the infrared TDI detector was analyzed. A new image data reconstruction method is presented to obtain accurate normal parameters for each pixel. The detector output linearity was increased in all dynamic ranges, and the uniformity of the image was enhanced. Radiance calibration was performed, and the test data were processed. The result shows that the nonuniformity correction residual decreased from 4.1% to 1.2% based on radiance calibration.

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行麦玲, 杨小乐, 邓旭光, 杨天远. 基于辐射定标的像元级双增益红外图像重构[J]. 红外技术, 2020, 42(7): 670. XING Mailing, YANG Xiaole, DENG Xuguang, YANG Tianyuan. Pixel-Level Dual-Gain Infrared Image Reconstruction Based on Radiance Calibration[J]. Infrared Technology, 2020, 42(7): 670.

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