{"currentpage":1,"firstResult":0,"maxresult":10,"pagecode":5,"pageindex":{"endPagecode":2,"startPagecode":1},"records":[{"abstractinfo":"为了提高图像处理器目标跟踪的准确度和对复杂环境的适应能力，设计了一种 CPCI 架构的多传感器融合图像跟踪系统。针对高分辨率高帧频图像的采集、目标搜索与跟踪，设计并实现了以 FPGA＋DSP 为核心的嵌入式图像处理平台，采用 CPCI 标准总线作为数据共享通道，由嵌入式图像处理平台完成实时计算，数据中心完成跟踪结果的数据融合和系统综合控制。实验结果表明：系统可以实现多路不同分辨率 CameraLink 图像或 HD-SDI 图像的采集和融合跟踪处理，该架构处理能力强，可扩展性高，结构紧凑，为图像融合跟踪系统提供了一种可靠的解决方案。","authors":[{"authorName":"王嘉成","id":"6428819d-ef2a-4e67-b76f-117a92a2dcf7","originalAuthorName":"王嘉成"},{"authorName":"孙海江","id":"16e144a1-4688-433e-a281-fb486c41e02e","originalAuthorName":"孙海江"},{"authorName":"刘培勋","id":"6499804a-e7e3-4608-b480-405290adca45","originalAuthorName":"刘培勋"},{"authorName":"单海蛟","id":"ece6d7c3-0367-4395-beda-14f69ab60da4","originalAuthorName":"单海蛟"},{"authorName":"<span style=\"color:red\">邓</span><span style=\"color:red\">耀华</span>","id":"0c651864-6864-4b41-a5bf-88d21f932889","originalAuthorName":"邓耀华"}],"doi":"10.3788/YJYXS20163108.0825","fpage":"825","id":"0ff66d6f-7b91-4aa0-bf32-20d88afcdab0","issue":"8","journal":{"abbrevTitle":"YJYXS","coverImgSrc":"journal/img/cover/YJYXS.jpg","id":"72","issnPpub":"1007-2780","publisherId":"YJYXS","title":"液晶与显示   "},"keywords":[{"id":"08ee2f97-83cf-4458-8197-78ff8dc68f52","keyword":"目标跟踪","originalKeyword":"目标跟踪"},{"id":"45a361b8-8d24-4009-af56-452db04670df","keyword":"DSP","originalKeyword":"DSP"},{"id":"34146202-21ed-4a53-9c75-087148cc0098","keyword":"FPGA","originalKeyword":"FPGA"},{"id":"ff241b5f-1cdd-4c17-ad9f-3f70987ede2c","keyword":"Compact-PCI","originalKeyword":"Compact-PCI"},{"id":"c45dc789-5a17-48a4-a89f-7d36a1f2b478","keyword":"数据融合","originalKeyword":"数据融合"}],"language":"zh","publisherId":"yjyxs201608014","title":"高分辨率多传感器融合图像跟踪系统的设计与实现","volume":"31","year":"2016"},{"abstractinfo":"为了提高光电跟踪系统的稳定性和自主跟踪能力，对多传感器数据融合算法和数据的有效性估计进行研究，提出一种多传感器自主跟踪算法.首先按照统计学方法，实时估计各传感器数据的误差协方差.然后按照均方误差最小准则，对各路数据进行融合.将最小二乘多项式拟合法和记忆衰减因子应用到误差协方差估计中，提高了融合结果的可信度.最后，提出一种多传感器跟踪数据切换策略，自动选择有效传感器数据中置信度最高、跟踪效果最优的一路数据，从而实现自主稳定跟踪的目的.实验结果表明，使用改进后的数据融合算法比原始方法的最终传感器选择结果正确率提高37．5％左右.在几种典型的传感器数据异常情况下，该数据融合算法和多路数据切换策略能够完成自主跟踪的目的.","authors":[{"authorName":"单海蛟","id":"2ef5cd7f-3f24-4f02-bc8e-d4f8df9724f4","originalAuthorName":"单海蛟"},{"authorName":"刘伟宁","id":"7ccb1dcc-ecdf-4d6e-ba03-c870f3ddcac4","originalAuthorName":"刘伟宁"},{"authorName":"王嘉成","id":"b5d3854f-a6e2-4bd4-b05a-248eed5a22e7","originalAuthorName":"王嘉成"},{"authorName":"刘培勋","id":"d377bab9-9cef-42de-aa9d-248fdbdb9241","originalAuthorName":"刘培勋"},{"authorName":"李治根","id":"36ec7273-01ef-4fbe-a1a9-9a195d531dd2","originalAuthorName":"李治根"},{"authorName":"<span style=\"color:red\">邓</span><span style=\"color:red\">耀华</span>","id":"7e741f34-275f-4ec0-9152-07355f3f10a3","originalAuthorName":"邓耀华"}],"doi":"10.3788/YJYXS20163108.0801","fpage":"801","id":"3d649d8c-15aa-4380-b9d9-5ffb33af737a","issue":"8","journal":{"abbrevTitle":"YJYXS","coverImgSrc":"journal/img/cover/YJYXS.jpg","id":"72","issnPpub":"1007-2780","publisherId":"YJYXS","title":"液晶与显示   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338/RIU,是基于共振波长的折射率灵敏度的1.49倍.利用彩色SPR成像技术能够直观地观测到金膜表面涂布的聚四氟乙烯薄膜的不均匀性,再通过计算图像局部区间的平均色相,可以定量获得不同薄膜厚度对应的折射率灵敏度.实验结果证明了基于色相算法的彩色SPR成像传感器明显优于常规SPR传感器.","authors":[{"authorName":"范智博","id":"122fcb5c-d318-4e84-bea7-52625cbd9f72","originalAuthorName":"范智博"},{"authorName":"龚晓庆","id":"3b401e76-93ae-4198-bb61-c5f12de93e95","originalAuthorName":"龚晓庆"},{"authorName":"逯丹凤","id":"92f8ad7d-5481-41ac-8397-4266a61b4fd2","originalAuthorName":"逯丹凤"},{"authorName":"高然","id":"d4b5a2ed-5a34-470f-8ec4-f9ffaa26b2f7","originalAuthorName":"高然"},{"authorName":"<span style=\"color:red\">邓</span><span style=\"color:red\">耀华</span>","id":"c9a3e394-1f58-47b2-b586-b55f4fc16e0a","originalAuthorName":"邓耀华"},{"authorName":"祁志美","id":"a4e7c89e-7856-4400-844a-8003ce4e6ef0","originalAuthorName":"祁志美"}],"doi":"10.3788/YJYXS20173205.0402","fpage":"402","id":"90cd95da-e5e4-414d-bfe7-4130d81d2bfd","issue":"5","journal":{"abbrevTitle":"YJYXS","coverImgSrc":"journal/img/cover/YJYXS.jpg","id":"72","issnPpub":"1007-2780","publisherId":"YJYXS","title":"液晶与显示   "},"keywords":[{"id":"090ab760-b1a9-4e65-b666-c5f62e2b7fbc","keyword":"彩色表面等离子体共振成像","originalKeyword":"彩色表面等离子体共振成像"},{"id":"563c3aae-d7ec-4a64-b889-645a31474f4b","keyword":"共振波长","originalKeyword":"共振波长"},{"id":"542760a7-e376-4e9c-82c5-5be2a6aaf5f5","keyword":"色相","originalKeyword":"色相"},{"id":"c8bf262f-a2a4-4ce9-acb2-e71e35dfbe4e","keyword":"厚度不均匀性","originalKeyword":"厚度不均匀性"},{"id":"ac0a2554-702f-467f-b7e6-95525309760e","keyword":"折射率灵敏度","originalKeyword":"折射率灵敏度"}],"language":"zh","publisherId":"yjyxs201705012","title":"基于色相算法的表面等离子体共振成像传感器","volume":"32","year":"2017"},{"abstractinfo":"针对目标探测器在大气中高速飞行时受湍流干扰,导致光学系统接收到的视频/图像产生像素偏移、模糊、信噪比降低等问题,本文对湍流退化视频/图像复原的复杂性及复原方法进行了研究,提出了一种基于非凸势函数优化与动态自适应滤波的湍流退化视频复原方法.首先,研究了湍流退化视频的求和与去模糊框架,并通过利用非刚性配准方法对刚性全局配准方法进行改进,进一步缩小了模糊核的尺度;然后,在计算机视觉的非凸优化框架下,构建了图像解卷积的非凸性算法,有效地解决了图像解卷积难题;最后,结合湍流退化视频自身特点,对超分辨率视频复原的动态自适应滤波框架进行了扩展与改进,使其适用于湍流退化视频的复原.仿真实验结果表明,本文方法的复原效果不仅有较大提升,而且实现了对湍流退化视频序列的动态自适应复原.","authors":[{"authorName":"李俊山","id":"af86378f-71ec-4f95-a77e-db06ea7933b1","originalAuthorName":"李俊山"},{"authorName":"杨亚威","id":"4e7d7f7c-7920-4e2b-bb3c-0eb95d24d91e","originalAuthorName":"杨亚威"},{"authorName":"朱子江","id":"31b45265-a0db-4e5c-a60f-d4984897a5af","originalAuthorName":"朱子江"},{"authorName":"张姣","id":"628de8e3-ba27-4762-b9a6-b5663836d552","originalAuthorName":"张姣"},{"authorName":"<span style=\"color:red\">邓</span><span style=\"color:red\">耀华</span>","id":"babdb60a-6f13-4f9a-a485-c3f57d292635","originalAuthorName":"邓耀华"}],"doi":"10.3788/YJYXS20173206.0482","fpage":"482","id":"79699941-e287-4bc4-abf5-f4cbb5e94d0e","issue":"6","journal":{"abbrevTitle":"YJYXS","coverImgSrc":"journal/img/cover/YJYXS.jpg","id":"72","issnPpub":"1007-2780","publisherId":"YJYXS","title":"液晶与显示   "},"keywords":[{"id":"de3d9ad2-e73b-4487-b6bb-2c7f75ccfa61","keyword":"大气湍流","originalKeyword":"大气湍流"},{"id":"c3a9960b-2fcb-45b8-82ae-037c4d31eea7","keyword":"视频复原","originalKeyword":"视频复原"},{"id":"8e3c2021-93ac-4437-81bf-bd2794a1a855","keyword":"点扩展函数","originalKeyword":"点扩展函数"},{"id":"3441e44f-b63b-4b1a-bd3e-d0e0b2762535","keyword":"非凸性优化","originalKeyword":"非凸性优化"}],"language":"zh","publisherId":"yjyxs201706010","title":"非凸性优化与动态自适应滤波的湍流退化视频复原","volume":"32","year":"2017"},{"abstractinfo":"","authors":[{"authorName":"乔明华","id":"5549d4b2-a449-4c6a-ad22-e7067450c1d6","originalAuthorName":"乔明华"},{"authorName":"许国勤","id":"8041ba67-6bf8-47c4-8f5e-67dfa4107f01","originalAuthorName":"许国勤"},{"authorName":"范康年","id":"919dbe5d-6084-42e9-8455-32fee7f5c4c0","originalAuthorName":"范康年"}],"doi":"10.1016/S1872-2067(12)60594-4","fpage":"820","id":"407741a9-2b63-4067-9ea7-3b6a307b2984","issue":"5","journal":{"abbrevTitle":"CHXB","coverImgSrc":"journal/img/cover/CHXB.jpg","id":"18","issnPpub":"0253-9837","publisherId":"CHXB","title":"催化学报 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style=\"color:red\">邓</span>黎辉,谢殷子,吴晓春","authors":[{"authorName":"高碳高合金马氏体钢回火过程连续性转变的内耗行为研究","id":"a56d0ae1-54be-47af-858b-f74c82608c9c","originalAuthorName":"高碳高合金马氏体钢回火过程连续性转变的内耗行为研究"}],"categoryName":"|","doi":"","fpage":"37","id":"7cbdd3ec-863c-45d4-97c4-bdc3ee0336c9","issue":"4","journal":{"abbrevTitle":"GTYJXB","coverImgSrc":"journal/img/cover/GTYJXB.jpg","id":"30","issnPpub":"1001-0963","publisherId":"GTYJXB","title":"钢铁研究学报"},"keywords":[{"id":"59175031-3448-441b-b9cc-5e1c4d34ea4d","keyword":"高碳高合金马氏体钢淬火后在回火过程中存在过饱和碳原子偏聚现象，碳原子偏聚于位错附近的间隙位置，回火过程中以碳化物形式沉淀析出。通过内耗研究表明，随着回火温度的增加，Snoek峰驰豫强度下降并消失，SKK峰驰豫强度降低并随回火温度的升高而宽化。由该结果可知由于大量碳原子偏聚于位错处，随后以细颗粒碳化物形式在位错处析出。随着回火温度增加，大部分位错回复消失及碳化物聚集长大，同时残余奥氏体分解产生硬化效应，使钢的硬度增加而韧性下降。","originalKeyword":"高碳高合金马氏体钢淬火后在回火过程中存在过饱和碳原子偏聚现象，碳原子偏聚于位错附近的间隙位置，回火过程中以碳化物形式沉淀析出。通过内耗研究表明，随着回火温度的增加，Snoek峰驰豫强度下降并消失，SKK峰驰豫强度降低并随回火温度的升高而宽化。由该结果可知由于大量碳原子偏聚于位错处，随后以细颗粒碳化物形式在位错处析出。随着回火温度增加，大部分位错回复消失及碳化物聚集长大，同时残余奥氏体分解产生硬化效应，使钢的硬度增加而韧性下降。"}],"language":"zh","publisherId":"1001-0963_2011_4_8","title":"高性能精品模具钢系列产品的研究与开发(20079~201012)","volume":"23","year":"2011"},{"abstractinfo":"","authors":[{"authorName":"范康年","id":"58594def-046d-41fa-a0f0-d0679d6021cf","originalAuthorName":"范康年"},{"authorName":"包信和","id":"de540cf9-e151-4cf5-a7d2-b5c96c767eec","originalAuthorName":"包信和"},{"authorName":"许国勤","id":"5ffa3076-1e01-45fd-91be-8642c8eab334","originalAuthorName":"许国勤"}],"doi":"10.1016/S1872-2067(12)60593-2","fpage":"817","id":"a3f29cea-b852-44ec-bab0-86db75086298","issue":"5","journal":{"abbrevTitle":"CHXB","coverImgSrc":"journal/img/cover/CHXB.jpg","id":"18","issnPpub":"0253-9837","publisherId":"CHXB","title":"催化学报 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pg·mL－1．试剂盒对不同AFB1添加水平（0．5μg·kg－1，1μg·kg－1）的玉米、豆粕和鱼粉样品平均回收率为108．4％—134．8％．对玉米、豆粕和鱼粉样品各20份盲样测试结果表明，试剂盒检测结果与HPLC?MS／MS检测结果吻合．","authors":[{"authorName":"孙清","id":"7c3952a1-ed28-42aa-ac3b-36375413d269","originalAuthorName":"孙清"},{"authorName":"李谷丰","id":"601d124b-ad4b-4b0d-9fec-247a975f9826","originalAuthorName":"李谷丰"},{"authorName":"<span style=\"color:red\">邓</span>乾民","id":"ae19371f-fb9c-4aca-b27d-0b1b0c765804","originalAuthorName":"邓乾民"},{"authorName":"刘杰民","id":"73684e21-6b8b-457a-9c83-08853e202204","originalAuthorName":"刘杰民"},{"authorName":"时国庆","id":"e173ff6d-5070-4d1a-86e7-32efd0ddb666","originalAuthorName":"时国庆"}],"doi":"10.7524/j.issn.0254-6108.2015.10.2015031001","fpage":"1845","id":"8a1ff06a-ff36-4b00-a602-559a38b37d70","issue":"10","journal":{"abbrevTitle":"HJHX","coverImgSrc":"journal/img/cover/HJHX.jpg","id":"43","issnPpub":"0254-6108","publisherId":"HJHX","title":"环境化学   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