Edge-directed adaptive nonuniformity correction for staring infrared focal plane arrays

Tianxu Zhang; Yan Shi

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Edge-directed adaptive nonuniformity correction for staring infrared focal plane arrays

机译：Edge-directed adaptive nonuniformity correction for staring infrared focal plane arrays

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摘要

An in-depth analysis is made in the case of object degeneration and ghosting artifacts in a neural-network-based nonuniformity correction algorithm (NN-NUC) for infrared focal plane arrays (IRFPAs). It is found that updating the correction coefficients blindly in the NN-NUC scheme without taking the object edge into account is the root of the problem. Based on this conclusion, an edge-directed NN-NUC scheme (ED-NN-NUC) is proposed to eliminate ghosting artifacts and object degeneration. Comparison experiments with simulated data and real IR-FPA infrared data show that the root of the problem pointed out is correct and the proposed scheme is rational and effective.

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来源
《Optical Engineering》 |2006年第1期|016402-1-016402-11-0|共11页
作者
Tianxu Zhang; Yan Shi;
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作者单位

Huazhong University of Science and Technology Wuhan 430074, China;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种英语
中图分类光学仪器;
关键词
infrared focal plane array; nonuniformity correction; neural-network-based nonuniformity correction; object degeneration; ghosting artifact;

Edge-directed adaptive nonuniformity correction for staring infrared focal plane arrays

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