本文選題：非均勻性校正 + 神經(jīng)網(wǎng)絡(luò)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(diǎn),對傳統(tǒng)兩點(diǎn)校正和神經(jīng)網(wǎng)絡(luò)非均勻性校正算法進(jìn)行了改進(jìn)和定點(diǎn)化處理。對算法實(shí)現(xiàn)時的存儲和數(shù)據(jù)流需求進(jìn)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(yù)處理平臺上實(shí)現(xiàn)了校正系數(shù)的在線標(biāo)定和自適應(yīng)迭代。在系數(shù)更新時,引入運(yùn)動判斷環(huán)節(jié),以防止神經(jīng)網(wǎng)絡(luò)校正算法帶來的目標(biāo)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(kuò)充性。實(shí)驗(yàn)證明該實(shí)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]:In view of the imaging characteristics of a domestic detector, the traditional two points correction and neural network non-uniformity correction algorithm are improved and fixed point processing. After analyzing the storage and data flow requirements of the algorithm, the advantages of the memory controller for DDR2 high-speed reading and writing are made, and the pre processing platform of the infrared imaging device with FPGA as the core is used. The on-line calibration and adaptive iteration of the correction coefficient are realized. When the coefficient is updated, the motion judgment link is introduced to prevent the target degradation and ghost phenomenon caused by the neural network correction algorithm. The imaging system only uses a chip of FPGA, making the system miniaturized possible, the full resource remainder makes it functional extendibility. It is verified that the implementation method significantly improves the non-uniformity of the infrared imaging device and achieves satisfactory results in restraining time drift.
【作者單位】： 中國空空導(dǎo)彈研究院;
【分類號】：TP391.41;TN219

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