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Adaptive non-uniformity correction method based on temperature for infrared detector array

机译:基于温度的红外探测器阵列自适应非均匀校正方法

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摘要

The existence of non-uniformities in the responsitivity of the element array is a severe problem typical to common infrared detector. These non-uniformities result in a "curtain" like fixed pattern noises (FPN) that appear in the image. Some random noise can be restrained by the method kind of equalization method. But the fixed pattern noise can only be removed by .non uniformity correction method. The produce of non uniformities of detector array is the combined action of infrared detector array, readout circuit, semiconductor device performance, the amplifier circuit and optical system. Conventional linear correction techniques require costly recalibration due to the drift of the detector or changes in temperature. Therefore, an adaptive non-uniformity method is needed to solve this problem. A lot factors including detectors and environment conditions variety are considered to analyze and conduct the cause of detector drift. Several experiments are designed to verify the guess. Based on the experiments, an adaptive non-uniformity correction method is put forward in this paper. The strength of this method lies in its simplicity and low computational complexity. Extensive experimental results demonstrate the disadvantage of traditional non-uniformity correct method is conquered by the proposed scheme.
机译:元件阵列的响应度中不均匀性的存在是普通红外探测器典型的严重问题。这些不均匀性会导致像图像中出现的固定图案噪声(FPN)一样的“窗帘”。某些随机噪声可以通过方法种类的均衡方法来抑制。但是,只能通过非均匀性校正方法消除固定的图案噪声。检测器阵列不均匀的产生是红外检测器阵列,读出电路,半导体器件性能,放大器电路和光学系统的综合作用。由于检测器的漂移或温度变化,传统的线性校正技术需要昂贵的重新校正。因此,需要一种自适应的非均匀性方法来解决这个问题。考虑和分析了很多因素,包括探测器和环境条件的变化,以分析和进行探测器漂移的原因。设计了一些实验来验证猜测。在实验的基础上,提出了一种自适应的非均匀性校正方法。该方法的优势在于其简单性和低计算复杂性。大量的实验结果表明,所提出的方案克服了传统的非均匀性校正方法的弊端。

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