中国科学院机构知识库网格系统: 检索

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	Validating the accuracy of multiple sediment fingerprinting methods 期刊论文 OAI收割 LAND DEGRADATION & DEVELOPMENT, 2022, 页码: 14 作者: Dai, Wei; Chen, Dan; Li, Mengjie; Zeng, Yi; Ni, Lingshan \| 收藏 \| 浏览/下载：28/0 \| 提交时间：2022/11/09 correction factors geochemical mixing models n-alkanes sediment tracing
	Research on online correction algorithm with neural network multi-environment factors for CO detection of motor vehicle exhaust 期刊论文 OAI收割 JOURNAL OF INFRARED AND MILLIMETER WAVES, 2018, 卷号: 37, 期号: 6, 页码: 704-710 作者: Liu Guo-Hua; Zhang Yu-Jun; Zhang Kai; Tang Qi-Xing; Fan Bo-Qiang \| 收藏 \| 浏览/下载：62/0 \| 提交时间：2020/03/31 CO exhaust detection infrared absorption multiple environmental factors online correction BP neural network
	Non-uniformity correction in multi-CCD imaging system (EI CONFERENCE) 会议论文 OAI收割 2010 2nd International Conference on Mechanical and Electronics Engineering, ICMEE 2010, August 1, 2010 - August 3, 2010, Kyoto, Japan Tao M.; Ren J. 收藏 \| 浏览/下载：26/0 \| 提交时间：2013/03/25 The non-uniformity phenomenon exists in each channel of multi-CCD imaging systems. The factors which lead to the problem are complex. The conventional calibrating algorithms can not consider all of these factors and have poor effects. According to the characters of multi-CCD imaging systems a non-uniformity correction method based on the scene was proposed by adopting the traditional two-point correction theories. The correction coefficient of each channel image can be calculated via the linear relation between the two neighboring pixel lines in the two-channel images. Compared with the conventional two-point calibration and multi-point calibration methods contrastive calibrating results were obtained. This method does not need any standard lighted image as reference source which provides a real time way for calibrating the multi-CCD imaging systems in practical applications. 2010 IEEE.