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自适应Shearlet域约束的全变差图像去噪朱华生;邓承志【期刊名称】《计算机工程》【年(卷),期】2013(039)001【摘要】采用传统非线性扩散图像去嗓方法得到的图像边缘模糊,为此,提出一种有限自适应Shearlet域约束的极小化变分图像去噪算法.通过自适应阈值收缩Shearlet系数,保留图像纹理与边缘空间,利用全变差极小化平滑空间,建立全变差正则化的能量泛函去噪模型.实验结果表明,该算法能在减少图像噪声的同时,保留图像边缘信息,对含有丰富纹理结构的图像,去噪性能更佳.%In this paper, an adaptive Shearlet domain regularized minimization total variation image denoising algorithm is proposed, which can overcome the problem of the traditional nonlinear diffusion image denoising methods. The texture and edge domain is adaptively shrinkaged in Shearlet domain. And then, a total variation regularized energy functional model with restrictions on the finite adaptive shearlet domain is used to deal with smooth domain. Experimental results show that this algorithm can reduce the noise and preserve the edge information, especially to the images containing abundant texture.【总页数】4页(P221-224)【作者】朱华生;邓承志【作者单位】南昌工程学院信息工程学院,南昌330099;南昌工程学院信息工程学院,南昌330099【正文语种】中文【中图分类】TN919.73【相关文献】1.Shearlet变换域自适应图像去噪算法 [J], 朱华生;徐晨光2.基于自适应shearlet域约束下的图像去噪研究 [J], 王丰斌;杨坷巍3.非下采样Shearlet域多变量模型的图像去噪 [J], 刘巧红;林敏;李广超4.基于自适应shearlet域约束下的图像去噪研究 [J], 王丰斌;杨坷巍5.一种改进全变差正则化的Shearlet自适应带钢图像去噪算法 [J], 韩英莉因版权原因，仅展示原文概要，查看原文内容请购买。
四川大学学报（医学版）2021，52 ( 2 ) : 286 - 292J Sichuan Univ ( Med Sci) doi: 10.12182/20210360506基于深度学习的图像重建算法在胸部薄层CT中的降噪效果评估#曾文，曾令明，徐旭，胡斯娴，刘科伶，张金戈，彭婉琳，夏春潮，李真林&四川大学华西医院放射科（成都610041)【摘要】目的为了评估基于深度学习的重建算法在胸部薄层计算机断层扫描(computed tomography, CT)图像中的降噪效果，对滤波反投影重建（filtered back projection, FBP)、自适应统计迭代重建（adaptive statistical iterative reconstruction, ASIR)与深度学习图像重建（deep learning image reconstruction, DLIR)图像进行分析。
方法回顾性纳人 47例患者胸部CT平扫原始数据，利用FBP, AS1R混合重建(ASIR50%、ASIR70%),深度学习低、中、高3种模式(DL-L、DL- M、DL-H)共6种,重建出0.625 mm的图像。
在每组图像的主动脉内、骨骼肌以及肺组织内分别勾画感兴趣区，测量感兴趣 区内的CT值、SD值和信噪比(signal-to-noiseratio,SNR)进行客观评价，并对图像进行主观评价。
结果6种重建图像 CT、SD和SNR值的差异有统计学意义(P<0.001)。
6种重建图像主观评分差异有统计学意义(尸<0.001)。
DLIR在主动脉和 骨骼肌处的图像噪声明显低于传统的FBP和ASIR,图像质量能够满足临床需求。
而且呈现出DL-H降噪效果最佳、噪声最 低,ASIR70%、DL-M、ASIR50。
/。
、DL-L、FBP图像噪声依次增加。
通过主观评分的比较发现,DL-H的图像整体质量有明 显的提升,但不能使肺纹理重建更清晰。
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化工进展Chemical Industry and Engineering Progress2024 年第 43 卷第 2 期面向光场火焰温度场重建的特征提取优化方法单良1，华夏杰1，牛玉风1，赵腾飞1，洪波1，孔明2（1 中国计量大学信息工程学院，浙江省电磁波信息技术与计量检测重点实验室，浙江 杭州 310018；2 中国计量大学计量测试工程学院，浙江 杭州 310018）摘要：近年来，利用深度学习的方法从光场火焰图像中重建三维温度分布已成为辐射测温研究领域的一个新方向。
传统的温度场重建网络仍沿用平面图像的特征提取方法，不仅忽略了光场图像中记录的三维光线信息，而且没有充分考虑追迹光线的分类问题，致使先验信息的缺失和不同类型特征的杂糅，对温度场的重建精度产生负面影响。
本文对网络中的特征提取过程进行了优化，首先将子孔径图像的视角信息添加到网络输入端，然后使用双分支卷积方法分别提取光场的空间特征和角度特征，最后利用注意力机制对特征在不同尺度上的重要性进行建模。
本文通过正交实验验证了上述因素对重建精度的影响。
仿真结果表明，与传统网络相比，优化方法重建的温度场平均相对误差降低了44.82%，最大相对误差降低了34.76%。
关键词：温度场重建；优化；神经网络；数值分析中图分类号：TK311 文献标志码：A 文章编号：1000-6613（2024）02-0823-07Optimization method for light-field feature extraction in flametemperature field reconstructionSHAN Liang 1，HUA Xiajie 1，NIU Yufeng 1，ZHAO Tengfei 1，HONG Bo 1，KONG Ming 2(1 Key Laboratory of Electromagnetic Wave Information Technology and Metrology of Zhejiang Province, College of Information Engineering, China Jiliang University, Hangzhou 310018, Zhejiang, China; 2 College of Metrology andMeasurement Engineering, China Jiliang University, Hangzhou 310018, Zhejiang, China)Abstract: In recent years, the reconstruction of the three-dimensional (3D) temperature field from the flame light-field image by the method of deep learning has been a new direction in radiation thermometry. The traditional temperature field reconstruction network still uses the feature extraction method of theplane image, which not only ignores the 3D ray information recorded in the light-field image but also fails to consider the classification of tracing rays. Therefore, the absence of prior information and the hybridity of different types of features have a negative impact on the reconstruction accuracy of temperature field. This article optimized the feature extraction process in the network. Firstly, the view angle information of the sub-aperture image was added to the network input. Then the spatial and angular features of the light-field were extracted by the double-branch convolution method. Finally, the attention mechanism was used to model the importance of features at different scales. The effectiveness of the above factors on the reconstruction accuracy was verified by orthogonal experiments. The simulation results showed that the研究开发DOI ：10.16085/j.issn.1000-6613.2023-1446收稿日期：2023-08-21；修改稿日期：2023-11-05。
改进的Tikhonov正则化图像重建算法温丽梅;周苗苗;李明;马敏【摘要】Tikhonov正则化法可以解决电容层析成像中图像重建的病态问题,同时能够平衡解的稳定性与精确性,但其有效性和成像质量受到测量数据粗差的影响.改进的Tikhonov正则化法将2范数和M-估计结合,用一个缓慢增长的Cauchy函数代替最小二乘法的平方和函数,提高了估计稳健性和适应性.利用COMSOL和MATLAB软件对方法的有效性进行验证,重建结果表明,改进的Tikhonov正则化法能够有效减少粗差影响,提高重建图像精确度及分辨率.【期刊名称】《计量学报》【年(卷),期】2018(039)005【总页数】5页(P679-683)【关键词】计量学;图像重建;Tikhonov正则化法;电容层析成像;尾气检测;多相流【作者】温丽梅;周苗苗;李明;马敏【作者单位】中国民航大学电子信息与自动化学院,天津300300;中国民航大学电子信息与自动化学院,天津300300;中国民航大学电子信息与自动化学院,天津300300;中国民航大学电子信息与自动化学院,天津300300【正文语种】中文【中图分类】TB9371 引言气-固两相流广泛存在于机械制造、电力、化工、制药等工业生产领域[1,2],其流动特性复杂,材料浓度的分布状态多变。
航空发动机尾喷管的尾气是一种特殊的多相流体,主要由未完全燃烧液滴、大量排放气体以及发动机内部零部件发生磨损、碰擦、侵蚀等产生的金属屑等组成。
若航空发动机处于不同的工作状态,其内部尾气所含介质成分也有所不同[3]。
飞机发生事故前,发动机尾气中多相流体的介质成分及分布状况会有较大变化,据此可以作为此类灾害的早期预警[4]。
层析成像技术[5,6]可以实现三维流场的多参数非侵入式连续在线测量,电容层析成像(electrical capacitance tomography, ECT)在飞机发动机尾气检测方面具有潜在的应用价值。
I 《航天返回与遥感》第40卷（2019）总目次第1期升力体再入飞行器离轨制动方案及优化研究 ··························· 左光, 陈鑫, 侯砚泽, 吴文瑞 (1) 高空零压气球上升过程的运动特性研究 ············································· 廖俊, 袁俊杰, 蒋祎, 杨泽川, 李珺, 卢智勇, 吴春晖, 王宁 (11) 基于FPGA的星上影像正射纠正 ···························· 张荣庭, 周国清, 周祥, 刘德全, 黄景金 (20) 基于改进型重复控制的光程扫描控制系统设计 ················ 郭兰杰, 王浩, 王淳, 马文坡, 林喆 (32) 基于月球观测的“高分四号”卫星相机在轨MTF测试 ·············· 吴同舟, 王浩, 周峰, 李晓曼 (41) 亚微米像元器件在空间应用中的光学系统设计 ························································ 胡嘉宁, 王小勇, 阮宁娟, 刘晓林, 庄绪霞, 李妥妥 (50) 五棱镜垂直度误差对转向角的影响分析 ·········································· 温中凯, 雷文平, 黄颖 (59) “高分三号”卫星图像干涉测量试验 ···································· 余博, 李如仁, 陈振炜, 张过 (66) “高分四号”卫星正射校正精度分析 ···································· 马冯, 孙旭, 高连如, 付晨罡 (74) 基于改进的切比雪夫多项式轨道的SAR影像正射纠正 ································································· 周国清, 贺朝双, 岳涛, 沈俊, 黄煜, 李晓柱 (83) 应急遥感影像信息快速提取方法探讨 ························································ 刘嘉, 廖小露 (93) 一种面向对象的机场跑道变化检测方法 ····················································· 张艺明, 肖文 (102) 旋转森林算法在GF-2卫星影像土地利用分类中的应用·············· 彭力恒, 刘凯, 朱远辉, 柳林 (112) 第2期平流层飞行器技术的最新发展 ··················································· 王彦广, 王伟志, 黄灿林 (1) 充气式进入减速技术的发展 ······························································· 黄伟, 曹旭, 张章 (14) 再入返回器极端热载荷预测方法 ············································· 张思宇, 余莉, 曹旭, 张章 (25) 气动热作用下的充气式减速器性能研究 ······································· 王帅, 余莉, 张章, 曹旭 (33) 骨架充气压力对自充式气囊缓冲性能影响研究 ····················· 李博, 竺梅芳, 牛国永, 刘兴华 (43)II孙嘉, 黄伟, 卢齐跃 (51) 临近空间飞行器滑橇式起落架缓冲特性分析 ···································· 璘多点平衡支撑在空间大口径反射镜上的应用 ························ 张博文, 王小勇, 郭崇岭, 刘湃 (60) 一种航天相机微纳镜头的实现方法 ································· 安书兵, 练敏隆, 唐绍凡, 李瀛搏 (69) 基于行数据扫描的星空多目标星点提取方法 ··························· 李寅龙, 何海燕, 张凤, 李婧 (79) 一种新的连续面形变形镜的解耦控制方法 ······················································ 刘成, 于飞, 丁琳, 宋莉, 黄刚, 郝中洋, 李超, 林喆 (89) ULE®叠层反射镜二维等效建模方法研究 ················································· 丁锴铖, 连华东 (99) GF-6卫星WFV数据在林地类型监测中的应用潜力 ··································································· 刘晋阳, 辛存林, 武红敢, 曾庆伟, 史京京 (107) 第3期前沿光学技术的新发展 ·················································································· 金国藩 (1) 航天火工装置点火输出压力散差的精细化控制 ··························· 成琦, 王帅, 胡建举, 杨叶 (5) 小天体探测器着陆附着技术研究 ················································ 王立武, 戈嗣诚, 蒋万松 (14) 减速伞收口状态气动特性仿真与试验研究 ··········· 王奇, 王立武, 张章, 吴卓, 雷江利, 孙希昀 (24) 大口径光学组件重力翻转测试方法验证及应用 ······· 周于鸣, 杨秋实, 孟晓辉, 刘志远, 王向东 (33) 面向航天应用的高可靠性FPGA动态局部重构 ············· 于志成, 庄树峰, 刘涛, 王洋, 杨秉新 (40) FTS干涉信号延时补偿算法的仿真分析··········································· 翟茂林, 李涛, 张玉贵 (47) 静止轨道闪电光学探测的光谱选择及影响分析 ·········· 鲍书龙, 陈强, 张志清, 汤天瑾, 赵学敏 (57) 空间光学遥感器反射镜组件中环氧胶的选用 ···································· 周小华, 邢辉, 杨居奎 (65) 大气色散对航空双谱段高分辨率斜视成像影响 ·················· 张绪国, 尚志鸣, 张跃东, 曹桂丽 (73) 基于扩展卡尔曼滤波的星敏感器在轨几何标定 ··················· 李响, 谢俊峰, 莫凡, 朱红, 金杰 (82) “委遥二号”卫星长波红外通道在轨辐射定标 ··························································· 刘莉, 陈林, 徐寒列, 胡秀清, 张正慧, 汪红强 (94) 岫岩偏岭矿区植被修复生态环境监测评估 ·············· 周斌, 李雨鸿, 李辑, 李晶, 王婷, 刘东明 (103) 基于本征图像分解的高光谱图像空谱联合分类 ········································· 任智伟, 吴玲达 (111)III 第4期大型航天器无控再入气动稳定性分析 ······································· 徐艺哲, 万千, 左光, 石泳 (1) 空间重复锁紧技术综述 ················ 杨泽川, 罗汝斌, 廖鹤, 廖俊, 罗世彬, 蒋祎, 袁俊杰, 王宁 (10) 降落伞收口绳载荷计算方法研究 ··········································· 王立武, 雷江利, 吴卓, 包进进 (22) 面向降落伞稳态CFD计算的网格生成方法研究 ··············· 靳宏宇, 吴壮志, 王奇, 贾贺, 荣伟 (30) 环路热管在低温真空环境下的控温性能试验研究 ············· 高腾, 杨涛, 鲁盼, 赵石磊, 赵振明 (38) 基于FPGA的探测器制冷控制系统优化设计 ············································ 谢妮慧, 郝中洋 (48) 开环虚拟振动试验方法在航天遥感器上的应用研究 ································· 郭崇岭, 张博文, 赵野 (57) 垂直装调用大口径自准直反射镜系统研究 ·········································· 陈宗, 范龙飞, 李斌, 陆玉婷, 王昀, 李凌, 陈佳夷, 王向东 (67) 一种高精度半角反射镜指向机构的设计与实现 ···································· 李晓, 于婷婷, 王淳 (76) 基于FFT算法的激光有源非稳腔光场分布数值计算方法 ············································· 罗萍萍, 桑思晗, 史文宗, 杨超, 颜凡江, 李梦龙, 蒙裴贝 (86) 光学遥感图像目标检测技术综述 ························· 李晓斌, 江碧涛, 杨渊博, 傅雨泽, 岳文振 (95) 基于非负最小二乘法的全色与高光谱图像融合 ······························ 郝红勋, 何红艳, 张炳先 (105) 顾及光行差改正的遥感卫星成像模型及验证 ····················· 张宏伟, 张炳先, 侯作勋, 彭呈祥 (112) 复杂山区ASTER GDEM2高程精度验证 ············································ 胡勇, 马泽忠, 黄健 (122) 第5期计算成像——全光视觉信息的设计获取 ·················································· 赵巨峰, 崔光茫 (1)武 (15) 美军气象卫星的应用与管理 ······························································· 刘韬, 王丹, 珺航天器可重复使用热防护技术研究进展与应用 ········································· 周印佳, 张志贤 (27) 基于主动排气气囊的着陆缓冲控制系统FPGA设计 ··························································· 孙希昀, 王立武, 张章, 刘靖雷, 邓黎, 雷江利 (41) CCD连续转移下图像串扰问题的研究····················申才立, 梁楠, 李鑫, 龚敬, 韩志学, 董龙 (50) 随机振动引起空间反射镜面形退化的机理研究 ·········· 孔富家, 白绍竣, 陈祥, 刘义良, 乔玉莉 (58) 一种调焦机构运动方向与光轴平行性测试方法 ····················· 魏鑫, 何鸿涛, 王建永, 穆生博 (67)IV星载TDI光机扫描相机偏流角建模 ···································· 王浩, 郭兰杰, 晋利兵, 赵艳华 (75) 星载光子探测激光雷达指向调整机构的理论分析 ····················· 张晨阳, 王春辉, 战蓝, 齐明 (84) 基于RFM模型的叠掩区域定位方法······································ 程前, 王华斌, 汪韬阳, 李玉 (95) 基于双树复小波分解的云量时间序列模型预测 ······· 白云博, 欧阳斯达, 杨朦朦, 夏学齐, 王婷 (106) 物方反投影下的星载多光谱相机内视场虚拟线阵拼接···················王怀, 莫凡, 李奇峻, 王鄂 (118) 第6期半刚性机械展开式气动减速技术机构与热防护研究 ································································ 张鹏, 苏南, 赵铄, 桂蜀旺, 毛科铸, 侯向阳 (1) 基于大气模型误差特性的“天宫一号”再入预报 ····················· 张炜, 王秀红, 崔文, 游经纬 (11) 深空探测器防热承力一体化大底结构研究 ··································· 黄文宣, 邱慧, 刘峰, 张萃 (19) 超声速透气降落伞系统的气动干扰数值模拟研究 ············· 贾贺, 姜璐璐, 薛晓鹏, 荣伟, 王奇 (26) RNN在降落伞开伞特性研究中的应用 ················································ 姜添, 戈嗣诚, 李健 (35) 基于主动光学的大型空间相机像质校正仿真············· 赵号, 苏云, 张丽莎, 李博, 粘伟, 张博文 (44)空间红外推扫成像系统探测器光学拼接方法 ············································ 邱民朴, 马文坡 (51)基于不同成核层的碳化硅基底反射镜特性研究 ··························································何世昆, 白云立, 周于鸣, 张继友, 黄巧林, 王利 (59)红外甚高光谱分辨率探测仪反演系统的设计与实现 ··························································罗琪, 李小英, 程天海, 张兴赢, 葛曙乐, 张玉贵 (67)“巴遥一号”卫星双相机在轨绝对辐射定标及精度分析 ········································· 李岩, 陈洪耀, 方舟, 李龙飞, 陈元伟, 胡永力, 汪红强, 汪松 (77)基于滑坡区域颜色特征模型的SVM遥感检测························ 陈善静, 康青, 沈志强, 周若冲 (89)基于U-net的“高分五号”卫星高光谱图像土地类型分类 ························································ 孙晓敏, 郑利娟, 吴军, 陈前, 徐崇斌, 马杨, 陈震 (99)基于深度学习特征提取的遥感影像配准 ·················································· 许东丽, 胡忠正 (107)（卷终）VSpacecraft Recovery & Remote SensingVol. 40 (2019)ContentsNo.1Deorbit Study of General Scheme & Optimized Design of Lifting Reentry Vehicle ································································ ZUO Guang, CHEN Xin, HOU Yanze, WU Wenrui (1) Motion Characteristics of Zero-pressure Balloon in Ascending Process·· LIAO Jun, YUAN Junjie, JIAGN Yi, YANG Zechuan, LI Jun, LU Zhiyong, WU Chunhui, WANG Ning (11) Ortho-rectification for Remote Sensing Image Using FPGA ··························· ZHANG Rongting, ZHOU Guoqing, ZHOU Xiang, LIU Dequan, HUANG Jingjin (20) Optical Path Scanning Control System Based on Modified Repetitive Control ················································· GUO Lanjie, WANG Hao, WANG Chun, MA Wenpo, LIN Zhe (32) The Lunar Trail of GF-4 Satellite and On-orbit Knife-edge Measurements of MTF ······························································ W U Tongzhou, WANG Hao, ZHOU Feng, LI Xiaoman (41) Study on Submicron Pixel Size Detector Applied in the Space Optical System Design ················ HU Jianing, WANG Xiaoyong, RUAN Ningjuan, LIU Xiaolin, ZHUANG Xuxia, LI Tuotuo (50) Impact Analysis of the Perpendicular Error of Pentaprism on the Steering Angle ······································································ WEN Zhongkai, LEI Wenping, HUANG Ying (59) Image Interferometry Experiment of GF-3 Satellite ·································································· YU Bo, LI Ruren, CHEN Zhenwei, ZHANG Guo (66) Research on Orthorectification Accuracy of GF-4 Satellite Image 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MA Feng, SUN Xu, GAO Lianru, FU Chengang (74) Orthorectification of SAR Image Based on Improved Chebyshev Polynomials Orbit Model ··························· ZHOU Guoqing, HE Chaoshuang, YUE Tao, SHEN Jun, HUANG Yu, LI Xiaozhu (83) Discussion on Rapid Extraction Method of Emergency Remote Sensing Image Information ·································································································· LIU Jia, LIAO Xiaolu (93) An Object-oriented Method for Airport Runway Change Detection ................... ZHANG Yiming, XIAO Wen (102) GF-2 Satellite Imagery Application in Land Use Classification Based on Rotation Forest Algorithm ··································································· P ENG Liheng, LIU Kai, ZHU Yuanhui, LIU Lin (112)No.2The Latest Development of Stratospheric Aerocraft Technology ······························································WANG Yanguang,WANG Weizhi, HUANG Canlin (1) The Development of Inflatable Entry Decelerator Technology ...... HUANG Wei, CAO Xu, ZHANG Zhang (14) Prediction Method for Extreme Thermal Load of Reentry Capsule ································································· ZHANG Siyu, YU Li, CAO Xu, ZHANG Zhang (25)VIStudy on the Performance of Inflatable Decelerator with Aerodynamic Heating ·································································· W ANG Shuai, YU Li, ZHANG Zhang, CAO Xu(33) Research of the Influence of Inflatable Frame Pressure on Ambient Inflated Airbag Cushioning Performance ······························································ LI Bo, ZHU Meifang, NIU Guoyong, LIU Xinghua (43) Study on Drop Dynamics of Ski Landing Gear for Near Space Aircraft ··············································································· SUN Jialin, HUANG Wei, LU Qiyue (51) Whiffle-tree Support of a Large Aperture Space-based Mirror ················································· ZHANG Bowen, WANG Xiaoyong, GUO Chongling, LIU Pai (60) A Design Method of Aerospace Camera Micro-nano Lens ······················································· AN Shubing, LIAN Minlong, TANG Shaofan, LI Yingbo (69) Space Multi-target Star Extraction Algorithm Based on Line Data Scanning ··································································· LI Yinlong, HE Haiyan, ZHANG Feng, LI Jing (79) A New Decoupling Control Method for the Deformable Mirror with Continuous Surface Shape ········· LIU Cheng, YU Fei, DING Lin, SONG Li, HUANG Gang, HAO Zhongyang, LI Chao, LIN Zhe (89) 2D Equivalent Modeling Method for ULE® Stacked-core Mirrors ····················································································DING Kaicheng, LIAN Huadong (99) Potential Application of GF-6 WFV Data in Forest Types Monitoring ······································ LIU Jinyang, XIN Cunlin, WU Honggan, ZENG Qingwei, SHI Jingjing (107)No.3The New Development of Optical Technology ························································· JIN Guofan (1) High Precision Control of Ignition Output and Transmission of Space Pyrotechnic Device ································································· C HENG Qi, WANG Shuai, HU Jianju, YANG Ye (5) Research on Lander Adhering and Recovery Technology for Asteroid Exploration ······································································ WANG Liwu, GE Sicheng, JIANG Wansong(14) Numerical Simulation and Experimental Study on Aerodynamic Characteristics of Reefed Decelerating Parachute ······························ WANG Qi, WANG Liwu, ZHANG Zhang, WU Zhuo, LEI Jiangli, SUN Xiyun (24) Verification and Application of Gravity Flip Test Method for Large Aperture Optical Components ························ ZHOU Yuming, YANG Qiushi, MENG Xiaohui, LIU Zhiyuan, WANG Xiangdong (33) High Reliability FPGA Dynamic Partial Reconfiguration for Aerospace Application ·································· YU Zhicheng, ZHUANG Shufeng, LIU Tao, WANG Yang, YANG Bingxin(40) Time-delay Compensation Simulation and Analysis of Interference Signal Based on FTS Technology ·············································································· ZHAI Maolin, LI Tao, ZHANG Yugui (47) Spectral Band Selection and Influence Analysis for Lightning Optical Detection for the Geostationary Meteorological Satellite ····························· B AO Shulong, CHEN Qiang, ZHANG Zhiqing, TANG Tianjin, ZHAO Xuemin (57) Epoxy Selection for Reflect Mirror Assembly in Space Remote Sensor ········································································· ZHOU Xiaohua, XING Hui, YANG Jukui (65) Influence of Atmospheric Chromatic Dispersion on Aerial Dual-band High Resolution Standoff Imaging ············································ ZHANG Xuguo, SHANG Zhiming, ZHANG Yuedong, CAO Guili(73) On-orbit Geometric Calibration of Star Tracker Based on EKF ···························································· L I Xiang, XIE Junfeng, MO Fan, ZHU Hong, JIN Jie (82) On-orbit Radiometric Calibration in Long Wave Infrared Band of VRSS-2 Satellite ······················ LIU Li, CHEN Lin, XU Hanlie, HU Xiuqing, ZHANG Zhenghui, WANG Hongqiang(94) Monitoring and Assessment of Vegetation Restoration Ecology Environment in Xiuyan Pianling-mining Area ··········································· Z HOU Bin, LI Yuhong, LI Ji, LI Jing, WANG Ting, LIU Dongming (103)。
基于正则化方法的光声成像技术重建算法光声成像技术是一种将激光光束和超声波相结合的成像技术，具有高分辨率和深度成像的优势，在生物医学和材料科学领域有广泛的应用。
然而，光声成像技术的重建算法面临着诸多挑战，例如数据噪声、缺失数据和运动伪影等问题。
正则化方法是一种有效的重建算法，它通过将问题的解空间限制在某些先验信息中，来提高重建结果的准确性和稳定性。
在光声成像技术中，正则化方法可以结合声学反演算法和光学反演算法，对数据进行重建。
其中，声学反演算法可以获得声学信息，而光学反演算法可以获得光学信息，两者的结合有利于提高重建精度和图像质量。
在正则化方法中，惩罚项的选择对于重建结果具有重要的影响。
常见的惩罚项包括L1正则化、L2正则化和总变差正则化等。
其中，L1正则化适用于稀疏信号的重建，L2正则化适用于平滑信号的重建，而总变差正则化适用于保持图像的边缘信息。
此外，正则化方法还可以结合交替方向乘子法、梯度下降法和共轭梯度法等迭代算法，通过不断更新解的参数，逐步优化重建结果。
这些算法在光声成像技术中也有广泛的应用。
综上所述，基于正则化方法的光声成像技术重建算法具有重要的应用价值，可以提高光声成像技术的重建精度和图像质量，促进其在生物医学和材料科学领域的应用。
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三维温度梯度场中本征声线轨迹的求取颜华;何爱娜;王晓宁【摘要】为了降低声波在温度梯度场中的折射现象对声学CT法温度场重建精度的影响,研究了温度梯度场中声波的真实传播路径,即本征声线轨迹,提出了一种三维本征声线出射角确定法.利用正三棱锥前向展开法,在单峰、双峰模型温度场中进行了三维本征声线追踪.结果表明,三维温度梯度场中的声线轨迹有明显弯曲,该三维本征声线轨迹求取法可用于复杂三维温度场中实际声线轨迹的确定,并有望应用于三维温度场声学CT重建系统中.【期刊名称】《沈阳工业大学学报》【年(卷),期】2016(038)002【总页数】5页(P185-189)【关键词】温度梯度场;本征声线;三维声线追踪;出射角;声线弯曲;声学CT;温度场重建;仿真研究【作者】颜华;何爱娜;王晓宁【作者单位】沈阳工业大学信息科学与工程学院,沈阳110870;沈阳工业大学信息科学与工程学院,沈阳110870;沈阳工业大学信息科学与工程学院,沈阳110870;沈阳大学信息工程学院,沈阳110044【正文语种】中文【中图分类】TK311声学CT(acoustic computer tomography)温度场重建技术，又称声学法温度场检测技术，是一种先进的测温技术.该技术建立在声波在介质中的传播速度是介质温度的第一函数的基础上，通过测量从不同方向穿过被测区域的声波传播时间，推算被测区域的温度分布，具有测温范围广、测量空间范围大和非接触不干扰被测温度场等优点.工业炉温度场监测[1-2]是该技术的典型应用.而应用该技术监测仓储粮食温度分布[3-4]，则是近几年开始的新的应用研究.声学CT温度场重建包括正问题和逆问题的求解.正问题是已知声波发射/接收器的空间位置和被测区域的温度分布，求声波在各发射/接收器间的传播时间；而逆问题即温度场重建，是已知发射/接收器的位置和各发射/接收器间的声波传播时间，求解被测区域的温度分布.声学CT温度场重建可分为两步：1)建立正问题模型；2)利用正问题模型求解逆问题.目前常用的声学CT温度场重建算法主要包括：最小二乘算法[5-6]、径向基函数与正则化算法、SIRT算法[7-8]等.这些算法在建立正问题模型时，通常是将各发射/接收器间声波传播轨迹，即本征声线，按照直线处理.当非均匀温度场中出现较大温度梯度时，声波传播轨迹会因折射发生明显的弯曲现象，进而影响正问题的模化精度.如果通过声线追踪获得本征声线的传播轨迹，据此建立本征声线传播轨迹上的声波传播时间与温度分布间的关系(即正问题模型)，将会显著提高温度场的重建精度.本征声线轨迹的求取有两个关键：1)在已知声波发射器位置和声线出射角的前提下，声线轨迹的快速追踪；2)声线出射角的修正策略，其涉及到试射声线能否快速收敛到声波接收器处，即求出本征声线的出射角.其中，确定本征声线的出射角更为关键.最直接的本征声线出射角确定方法是从声源发出一束分布很密的声线，从中寻找与接收点相交的声线.这在一维或二维情形下虽然费时，但尚可行，而在三维情形下，声线方向必须用仰角和方向角两个角度才能描述，该方法几乎是不可行的.本文提出了一种三维本征声线出射角确定方法，在此基础上，采用快速的正三棱锥前向展开法追踪三维温度梯度场中声线轨迹，实现了三维温度梯度场中本征声线轨迹的求取.三维声线的正三棱锥前向展开法[9]可同时计算出声波传播路径和声波传播时间.由Snell定律可知，线性声速场中的声线轨迹为一圆弧曲线.正三棱锥前向展开法在声线路径前方伸展出一个正三棱锥区域，并将其内部近似为线性声速场，该声速场的所有必要参数都可由正三棱锥的四个顶点处的声速值确定.该方法的简述如下.设声线入射点坐标为A(xin，yin，zin)，入射方向为A(Ax，Ay，Az).以A为顶点，AH(长度为h、方向与A(Ax，Ay，Az)一致)为高作一正三棱锥，如图1所示.图1中，平面AHD垂直于平面xoz，以H到D为方向的单位矢量为HD(HDx，HDy，HDz)，以E到C为方向的单位矢量为EC(ECx，ECy，ECz).存在向量关系，即EC=A×HD=(AyHDz-HDyAz，AzHDx-HDzAx，AxHDy-HDxAy).由此可求出正四面体其余顶点B、C、D的坐标.由于正三棱锥可以取得足够小，其内部声速场可近似为线性分布，可表示为由正三棱锥的四个顶点A、B、C、D的坐标及其顶点对应的声速值Gin、G1、G2、G3可以确定系数a、b、c、d.式(1)所描述的线性声速场的等声速面是由nc(a，b，c)为法线向量的平面族构成.入射点A所在的等声速面nc和A共同决定了声线轨迹所在的平面，其法向单位矢量为将声线入射点A作为新坐标系的原点o′，将原坐标系绕x轴旋转β角度，绕y轴旋转α角度得到新的坐标系x′y′z′，使平面x′o′y′为声线轨迹所在的平面.在新坐标系下，平面z′=0上的声速场表达式为声线轨迹所在平面z′=0在原坐标系下可表示为nx(x-xin)+ny(y-yin)+nz(z-zin)=0平面z′=0也可表示为比较式(5)、(6)可求出sin α、cos α、sin β、cos β的值.在z′=0平面内，声线入射点为原点(0，0)，入射方向矢量为).在该平面内以(0，0)为顶点，做一个高和底皆为h、方向与入射方向相同的等腰三角形.将三角形内声速场近似为线性，可确定声线穿过此三角形的圆弧曲线方程.将此段声线的终点和方向矢量变换到原坐标系下，作为下次展开正三棱锥的入射点和入射方向，使三维声线追踪能够反复执行，逐步获得声线轨迹[9].h的取值对追踪的精度和用时有较大影响，h越小，追踪精度越好，但用时也越大.一般可取h为声线起点与终点间距的1.5%～3%[10].本文采用多种策略降低复杂温度场中的声线出射角确定的工作量.这些策略主要包括：通过粗扫确定本征声线的大致方向，使试射密度的加大更有针对性；逐级加大试射密度，且密度越大，试射区域越小；形成试射角度矩阵后，按照试射成功的几率对试射角度排序；记录试射过的方向，避免重复试射.依据上述策略，本文提出的本征声线出射角确定法可分为粗扫与细扫两个阶段.粗扫阶段又可分为以下3个步骤.步骤1) 计算声线起点(xi，yi，zi)到接收点(xo，yo，zo)的直线方向所对应的仰角θ0和方向角φ0.步骤2) 分别以θ0和φ0为中心，δ为步长，在θ0和φ0的两侧，各形成角度间隔为δ的2N+1维仰角和方向角向量，再两两组合成(2N+1)2×2维仰角和方向角矩阵，对该矩阵按照各行与[θ0，φ0]距离由近到远排序，获得粗扫试射矩阵.步骤3) 按顺序依次用粗扫试射矩阵各行指定的方向发出声线，找到与接收面的交点距离接收点最近的声线，用[θm，φm]存储该声线的仰角和方向角.如某一声线对应的交点与接收点的距离小于预先规定好的误差限E0，则不进行后面的试射，跳出粗扫阶段.粗扫阶段，取h为声线起点与终点间距的3%.粗扫结束后，则取h为声线起点和终点间距的1%.按[θm，φm]指定的方向发射一声线，求出声线与接收平面的交点，并用Lmin记录交点与接收点的距离，令n=0进入细扫阶段.细扫阶段为一循环结构，可分为以下4个步骤.步骤1) 判断是否满足Lmin>E1且n<n0(n0为事先规定好的正整数，E1为事先规定好的误差限，E1<E0)，如满足则进入步骤1)，不满足则结束循环，并将声线出射角确定为[θm，φm].步骤2) 分别以θm和φm为中心，δ/2n为步长，在θm和φm的两侧，各形成角度间隔为δ/2n的5维仰角和方向角向量，再两两组合成25×2维仰角和方向角矩阵，剔除其中试射过的声线后按照各行与[θm，φm]距离由近到远排序，获得细扫试射矩阵.步骤3) 按顺序依次用细扫试射矩阵各行指定的方向发出声线，找到与接收面的交点距离接收点最近的声线，并用θ、φ和L存储该声线的仰角、方向角以及交点与接收点的距离.如某一声线对应的交点与接收点的距离小于E1，则不进行后面的试射，直接进入步骤4).步骤4) 如果L<Lmin，则令Lmin=L，θm=θ，φm=φ，进入步骤1)；如果L≥Lmin，则令n=n+1，进入步骤1).粗扫只是确定出射角的大致方向，故E0可取得较大以减少用时.E1越小，本征声线轨迹计算精度越高，但需要更大的n值，更小的步长δ，细扫的用时也越长. 本文所考虑的被测区域为10 m×10 m×10 m的正方体区域，周围布置20个声波发射/接收器，如图2所示.其中，蓝色圆点表示声波发射/接收器，红线表示区域边界.采用本文所提出的方法，在多个单峰、双峰模型温度场中，求取本征声线轨迹.计算中取E0=1.5，E1=0.01，n0=10，δ=3°.由于篇幅所限，本文只给出了4个模型温度场中的本征声线求取结果.模型温度场1，其表达式为该温度场最高温度为350 K，最低温度为103 K.图3为温度场的截面图.图4为该温度场中的声线轨迹.其中，声线轨迹相对于直线声线的最大偏差为3.900 m，平均偏差为1.249 m.模型温度场2，其表达式为该温度场最高温度为333 K，最低温度为294 K.图5为温度场的截面图.图6为该温度场中的声线轨迹.其中，声线轨迹相对于直线声线的最大偏差为0.629 m，平均偏差为0.270 m.模型温度场3，其表达式为该温度场最高温度为457 K，最低温度为69 K.图7为温度场的截面图.图8为该温度场中的声线轨迹.其中，声线轨迹相对于直线声线的最大偏差为2.344 m，平均偏差为1.574 m.模型温度场4，其表达式为该温度场最高温度为346 K，最低温度为293 K.图9为温度场的截面图.图10为该温度场中的声线轨迹.其中，声线轨迹相对于直线声线的最大偏差为0.375 m，平均偏差为0.245 m.由Snell法则可知，声线会由于折射现象而向低声速(低温)的方向弯曲.声速(温度)差别越大，这种弯曲越明显.上述本征声线轨迹也验证了这一现象.正三棱锥前向展开法的基础是几何声学，其只要求声波的波长与散射体的尺寸相比十分小，对温度场没有特殊的要求.因此，本文所提出的本征声线轨迹求取法，原则上可用于任何类型的三维温度场.声波在温度梯度场中的传播轨迹会因折射而弯曲.本文所提出的本征声线轨迹求取法，具有算法简单、结果可靠和计算精度容易控制等优点，可用于复杂三维温度场中实际声线轨迹的确定.而声波在不同温度场中的传播轨迹的先验信息，将有助于提高温度场重建的精度和速度.因此，本文所提出的三维本征声线轨迹求取法，有望应用于三维温度场声学CT重建系统中.(WANG Shan-hui，YAN Hua，LI Shuang.Design for transceiver array of temperature in stored grain monitored by acoustic CT [J].Journal of Shenyang University of Technology，2014，36(5)：561-566.)(MAO Jie，WU You-feng，FAN Wei，et al.Acoustic temperature field measurement in deep-sea hydrothermal vents and reconstruction algorithm [J].Chinese Journal of Scientific Instrument，2010，31(10)：2339-2344.)(JIANG Wei，LI Tai-bao.A three-dimensional sound ray tracing method by deploying regular tetrahedrons [J].Acta Acustica，2005，30(5)：404-408.) (YAN Hua，WANG Shan-hui，LIU Li-jun，et al.A reconstruction algorithm of temperature field taking into account the bending of sound wave paths [J].Acta Acustica，2014，39(6)：705-713.)。
储粮温度分布声学CT重建仿真
颜华;庄蔷;王晓宁
【期刊名称】《沈阳工业大学学报》
【年(卷),期】2015(037)006
【摘要】为了实现储粮温度分布声学CT法监测,对三维温度场的声学CT重建进行了仿真研究.将30个声波收发器以两种不同的布局设置在被测区域周围,被测区域的剖分考虑了1 000和1 500个像素两种方式,对约2 000个单热点模型温度场进行了仿真数据重建,并利用重建温度场的均方根误差、热点温度误差和热点位置误差评价了温度场重建质量.结果表明,收发器布局和被测区域剖分方式都会对温度场的重建质量产生较大影响,该仿真研究为声学CT系统的优化提供了依据.
【总页数】5页(P662-666)
【作者】颜华;庄蔷;王晓宁
【作者单位】沈阳工业大学信息科学与工程学院,沈阳110870;沈阳工业大学信息科学与工程学院,沈阳110870;沈阳工业大学信息科学与工程学院,沈阳110870;沈阳大学信息工程学院,沈阳110044
【正文语种】中文
【中图分类】TK311
【相关文献】
1.声学CT储粮温度监测收发器阵列设计 [J], 王善辉;颜华;李爽
2.基于声学CT重建航空发动机燃烧室出口温度场的仿真研究 [J], 王交峰;田丰;田
金光
3.声学锅炉二维温度分布测量方法及仿真分析 [J], 宋志强;樊旭;徐昶
4.基于SA-ELM的声学层析成像温度分布重建算法 [J], 刘厦;刘石;任婷
5.基于声学CT重建炉膛二维温度场的仿真研究 [J], 沈国清;安连锁;姜根山;张波因版权原因，仅展示原文概要，查看原文内容请购买。
一种改进的变分正则化CT重建算法
贺鑫;李权
【期刊名称】《高师理科学刊》
【年(卷),期】2015(000)002
【摘要】针对常规ART算法重建图像像素值不稳定，收敛速度慢的缺点，从正则化方法和求解不适定方程问题的数学角度入手，提出了能应用在 CT 重建中的一种改进的自适应变分正则法。
该算法首先对投影数据进行ART重建，然后引入重建
图像的梯度作为先验信息，并让梯度自适应下降，来改善重建结果。
仿真实验表明，本文算法不仅很好地重建了完整图像的结构信息，还使重建图像更加平滑，收敛速度更快。
【总页数】3页(P33-35)
【作者】贺鑫;李权
【作者单位】中北大学理学院，山西太原 030051;中北大学信息探测与处理山西省重点实验室，山西太原 030051
【正文语种】中文
【中图分类】TP391.1
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5.一种改进的总变分正则化图像盲复原方法 [J], 张红民;成于思
因版权原因，仅展示原文概要，查看原文内容请购买。
基于正则化迭代的并行磁共振图像重建算法陈蓝钰;常严;王雷;杨晓冬【摘要】为了解决并行磁共振成像过程的病态性和图像信噪比下降问题,降低重建过程中噪声放大和异常值的干扰造成的图像信噪比的损失,提出了一种基于正则化共轭梯度迭代的并行磁共振成像重建算法;该算法基于最小二乘理论,引入正则化,优化方程,进而进行迭代重建;采用了不同加速因子的人脑磁共振K空间欠采样数据以验证该算法的重建性能,仿真结果表明了该算法相较于最小二乘法,能较大限度地降低噪声对重建结果的干扰,具有信噪比更高、误差更小、成像效果更好等特征;重建图像质量得到了较好的改善,对临床诊断更具有适用性.【期刊名称】《计算机测量与控制》【年(卷),期】2015(023)012【总页数】3页(P4177-4179)【关键词】并行磁共振成像;图像重建;最小二乘法;迭代法;正则化【作者】陈蓝钰;常严;王雷;杨晓冬【作者单位】中国科学院苏州生物医学工程技术研究所医学影像室,江苏苏州215163;中国科学院长春光学精密机械与物理研究所,长春130033;中国科学院大学,北京101408;中国科学院苏州生物医学工程技术研究所医学影像室,江苏苏州215163;中国科学院苏州生物医学工程技术研究所医学影像室,江苏苏州 215163;中国科学院长春光学精密机械与物理研究所,长春130033;中国科学院大学,北京101408;中国科学院苏州生物医学工程技术研究所医学影像室,江苏苏州 215163;中国科学院大学,北京101408【正文语种】中文【中图分类】R318磁共振成像(magnetic resonance image,MRI)因具无辐射，分辨率高，多方位，多参数等优点[1]，目前在临床上已得到广泛应用。
传统磁共振成像主要不足之处可归结为两点：一是所需扫描时间较长，病人运动产生伪影，影响临床诊断，且不适用于情况特殊的病人；二是对如心脏、腹腔等运动器官成像困难。
并行磁共振成像(pMRI)技术是一个重大的技术突破，它经由多个接收线圈同步骤采集磁共振信号，减少相位编码步数，缩减采样时间，使得成像速度大大提高[2-5]。
基于纹影法的聚焦超声声场重建算法研究陆彦邑;刘俏俏;赵纯亮;沈勇;王华【摘要】为了从聚焦超声声场纹影图像直接重建声场声压分布图像,首先根据水中声波与光波的作用规律,利用Zernike相衬技术得到纹影系统中空间声压分布与纹影图像中光强的关系,再通过纹影系统获得聚焦超声声场实时图像,最后根据纹影系统的物理特性经过反投影重建算法重建出凹球壳聚焦超声换能器的空间声压分布.分析可知,理论声焦域横向与声轴大小分别为0.15 mm、1.4 mm,重建声场电功率为12 W时横向最接近为0.25 mm,30 W时声轴最接近为1.35 mm.与球壳换能器的理论声压分布进行对比的结果表明,该方法具有一定可行性,可以用于聚焦超声换能器的声场分布检测.【期刊名称】《应用光学》【年(卷),期】2015(036)005【总页数】6页(P742-747)【关键词】声场检测;声压分布图像;重建算法;纹影法【作者】陆彦邑;刘俏俏;赵纯亮;沈勇;王华【作者单位】重庆医科大学生物医学工程学院省部共建国家重点实验室培育基地-重庆市超声医学工程重点实验室重庆市生物医学工程学重点实验室,重庆400016;重庆医科大学生物医学工程学院省部共建国家重点实验室培育基地-重庆市超声医学工程重点实验室重庆市生物医学工程学重点实验室,重庆400016;重庆医科大学生物医学工程学院省部共建国家重点实验室培育基地-重庆市超声医学工程重点实验室重庆市生物医学工程学重点实验室,重庆400016;重庆医科大学生物医学工程学院省部共建国家重点实验室培育基地-重庆市超声医学工程重点实验室重庆市生物医学工程学重点实验室,重庆400016;重庆医科大学生物医学工程学院省部共建国家重点实验室培育基地-重庆市超声医学工程重点实验室重庆市生物医学工程学重点实验室,重庆400016【正文语种】中文【中图分类】TN912;O426.3引言纹影法作为一种非侵入式测量方式，具有直接、快速、实时等优势［1］，已经在低频声波［2］、超声波［3－5］以及聚焦超声［6］的检测中得到了很多的应用。
一种新的正则化图像重建算法及参数优化陈晓艳;房晓东【期刊名称】《天津科技大学学报》【年(卷),期】2014(29)6【摘要】Focused on solving the inverse-problem of electrical tomography,a new regularization image reconstruction algorithm and a method to select the regularization parameters were proposed. A Matlab mathematic model of regularization parameter and evaluation parameter was constructed by the least square fit method.The values of regularization parameter can be obtained by taking the SOL Multiphysics was adopted to construct the simulation field,and Matlab was used to solve the inverse-problem and reconstruct the image. The effectiveness of the method was verified by contrasting the reconstructed image and the evaluation parameters. The result indicates that the method and regularization parameters can improve the ill-pose of the inverse-problem effectively and make the solution to the inverse problem optimal.%针对电学层析成像技术的反问题求解，提出一种新的正则化图像重建算法及正则参数选择方法。
