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Characteristics analysis on high density spatial sampling seismic data 被引量:12
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作者 Cai Xiling Liu Xuewei +1 位作者 Deng Chunyan Lv Yingme 《Applied Geophysics》 SCIE CSCD 2006年第1期48-54,共7页
China's continental deposition basins are characterized by complex geological structures and various reservoir lithologies. Therefore, high precision exploration methods are needed. High density spatial sampling is a... China's continental deposition basins are characterized by complex geological structures and various reservoir lithologies. Therefore, high precision exploration methods are needed. High density spatial sampling is a new technology to increase the accuracy of seismic exploration. We briefly discuss point source and receiver technology, analyze the high density spatial sampling in situ method, introduce the symmetric sampling principles presented by Gijs J. O. Vermeer, and discuss high density spatial sampling technology from the point of view of wave field continuity. We emphasize the analysis of the high density spatial sampling characteristics, including the high density first break advantages for investigation of near surface structure, improving static correction precision, the use of dense receiver spacing at short offsets to increase the effective coverage at shallow depth, and the accuracy of reflection imaging. Coherent noise is not aliased and the noise analysis precision and suppression increases as a result. High density spatial sampling enhances wave field continuity and the accuracy of various mathematical transforms, which benefits wave field separation. Finally, we point out that the difficult part of high density spatial sampling technology is the data processing. More research needs to be done on the methods of analyzing and processing huge amounts of seismic data. 展开更多
关键词 high density spatial sampling symmetric sampling static correction noise suppression wave field separation and data processing.
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基于嵌入式系统的异纤清除机设计与试验 被引量:8
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作者 张晨 孙世磊 +2 位作者 石文轩 曾霖 邓德祥 《农业机械学报》 EI CAS CSCD 北大核心 2017年第8期43-52,共10页
基于FPGA+DSP的嵌入式系统以其灵活的芯片选型和高功效的计算性能,适合在环境恶劣以及对系统在线实时运行有严格要求的农业分拣领域中应用。针对棉纺产线中的异纤清除机设计,从检出原理、系统软硬件和剔除系统方面讨论了基于嵌入式系统... 基于FPGA+DSP的嵌入式系统以其灵活的芯片选型和高功效的计算性能,适合在环境恶劣以及对系统在线实时运行有严格要求的农业分拣领域中应用。针对棉纺产线中的异纤清除机设计,从检出原理、系统软硬件和剔除系统方面讨论了基于嵌入式系统的设备设计。检出原理方面,除常见的白光和紫外光检测外,在不增加相机的情况下通过增加偏振通道来增强透明地膜检测。在系统软件设计方面,提出了基于三线阵相机亚像素空间分离量测速方案和基于统计学习的阈值检测。在系统硬件方面,设计了具有功耗和物料成本优势的嵌入式相机数据处理平台,并移植优化算法以满足系统实时性需求。在剔除系统方面,设计了基于目标实时速度的控制方案。试验结果表明,测速方案能正确获取目标速度,并能在剔除系统测试中适应风速变化,准确打击。设备对棉花带有明显差异的异纤及带有荧光粉的丙纶丝和透明薄膜的检出率高于80%,而对接近棉花颜色的淡黄色异纤检出率稍低于80%。长期试验结果显示,异纤清除机能适应产线变化,操作简便,能检出国内现有常见异纤,性能稳定。 展开更多
关键词 异纤清除机 棉花异性纤维 机器视觉 嵌入式系统 亚像素空间分离校正
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