發(fā)布時間：2018-05-26 16:17

  本文選題：非均勻性校正 + 神經(jīng)網(wǎng)絡算法��； 參考：《激光與紅外》2016年08期

【摘要】：針對某國產(chǎn)探測器成像特點,對傳統(tǒng)兩點校正和神經(jīng)網(wǎng)絡非均勻性校正算法進行了改進和定點化處理。對算法實現(xiàn)時的存儲和數(shù)據(jù)流需求進行分析后,利用存儲控制器對DDR2高速讀寫的優(yōu)勢,在以FPGA為核心的紅外成像裝置預處理平臺上實現(xiàn)了校正系數(shù)的在線標定和自適應迭代。在系數(shù)更新時,引入運動判斷環(huán)節(jié),以防止神經(jīng)網(wǎng)絡校正算法帶來的目標退化和鬼影現(xiàn)象。成像系統(tǒng)僅采用一片F(xiàn)PGA芯片,使得系統(tǒng)小型化成為可能,充足的資源余量使其具有功能可擴充性。實驗證明該實現(xiàn)方法明顯改善了紅外成像裝置的非均勻性,在抑制時間漂移上也取得了滿意的效果。
[Abstract]:According to the imaging characteristics of a home-made detector, the traditional two-point correction and neural network nonuniformity correction algorithm are improved and fixed-point processing is carried out. After analyzing the requirement of storage and data flow when the algorithm is implemented, the on-line calibration and adaptive iteration of correction coefficients are realized on the pre-processing platform of infrared imaging device based on FPGA, using the advantage of memory controller to read and write DDR2 at high speed. In order to prevent the target degradation and ghost phenomenon caused by the neural network correction algorithm, the motion judgment is introduced when the coefficients are updated. Only one FPGA chip is used in the imaging system, which makes the system miniaturized and has sufficient resource margin to make it functional and extensible. The experimental results show that the proposed method can improve the nonuniformity of infrared imaging device and achieve satisfactory results in suppressing the time drift.
【作者單位】： 中國空空導彈研究院;
【分類號】：TP391.41;TN219

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本文編號：1937906