检索结果-内蒙古大学图书馆

您好，读者！请登录

内蒙古大学图书馆

首页
概况
党建
资源
服务
科研支持
- 论文收录引用证明
- 科技查新
知识产权
档案馆
帮助

咨询与建议

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

您的常用邮箱：*

您的手机号码：*

问题描述：

当前已输入0个字，您还可以输入200个字

全部搜索
期刊论文
图书
学位论文
标准
纸本馆藏
外文资源发现
数据库导航
超星发现

高级检索

时间限定

出版年份：

文献类型

图书期刊文献学位论文多媒体

馆藏选择

电子馆藏纸本馆藏

核心期刊

全部期刊 SCI 收录期刊 SSCI 收录期刊 EI 收录期刊 CSCD 收录期刊 CSSCI 收录期刊

语言

中文英文

文献类型

期刊文献图书学位论文标准纸本馆藏

帮助

文字说明：

T=题名（书名、题名），A=作者（责任者），K=主题词，P=出版物名称，PU=出版社名称，O=机构（作者单位、学位授予单位、专利申请人），L=中图分类号，C=学科分类号，U=全部字段，Y=年（出版发行年、学位年度、标准发布年）

检索规则说明：

AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：

范例一：(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二：P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016

分类表

所选分类

>> <<

限定检索结果

文献类型

1,047 篇 会议
10 册 图书
10 篇 期刊文献

馆藏范围

1,067 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

900 篇 工学
- 558 篇 计算机科学与技术...
- 340 篇 软件工程
- 169 篇 光学工程
- 139 篇 测绘科学与技术
- 127 篇 电气工程
- 123 篇 信息与通信工程
- 63 篇 电子科学与技术（可...
- 36 篇 建筑学
- 36 篇 土木工程
- 36 篇 化学工程与技术
- 34 篇 生物医学工程（可授...
- 28 篇 生物工程
- 25 篇 仪器科学与技术
- 21 篇 航空宇航科学与技...
- 20 篇 控制科学与工程
- 19 篇 材料科学与工程（可...
- 18 篇 机械工程
- 17 篇 交通运输工程
- 10 篇 环境科学与工程（可...
693 篇 理学
- 508 篇 物理学
- 194 篇 数学
- 49 篇 统计学（可授理学、...
- 37 篇 化学
- 31 篇 生物学
- 18 篇 系统科学
362 篇 医学
- 341 篇 临床医学
- 21 篇 特种医学
- 11 篇 基础医学(可授医学...
147 篇 管理学
- 90 篇 图书情报与档案管...
- 63 篇 管理科学与工程(可...
13 篇 军事学
7 篇 农学
6 篇 法学
3 篇 经济学
1 篇 教育学

主题

64 篇 image segmentati...
44 篇 image fusion
43 篇 image processing
39 篇 pattern recognit...
30 篇 image enhancemen...
26 篇 feature extracti...
26 篇 image registrati...
22 篇 remote sensing
22 篇 image compressio...
18 篇 wavelet transfor...
16 篇 image matching
15 篇 edge detection
15 篇 image denoising
14 篇 object detection
14 篇 image reconstruc...
13 篇 remote sensing i...
13 篇 image analysis
12 篇 target tracking
12 篇 hyperspectral im...
12 篇 synthetic apertu...

机构

23 篇 institute for pa...
21 篇 huazhong univ sc...
15 篇 wuhan inst techn...
15 篇 wuhan inst techn...
13 篇 school of artifi...
13 篇 huazhong univ sc...
12 篇 national key lab...
10 篇 wuhan inst techn...
10 篇 xidian univ inst...
9 篇 international in...
9 篇 wuhan univ sch r...
9 篇 hubei key labora...
9 篇 hubei engineerin...
9 篇 wuhan inst techn...
9 篇 huazhong univ sc...
8 篇 school of electr...
8 篇 key laboratory o...
7 篇 huazhong univ sc...
7 篇 huazhong univ sc...
7 篇 state key lab. o...

作者

42 篇 jiao licheng
35 篇 zhang tianxu
28 篇 hong hanyu
26 篇 tian jinwen
22 篇 sang nong
18 篇 ding mingyue
17 篇 zhang xinyu
15 篇 zhang xiuhua
14 篇 cao zhiguo
12 篇 cai chao
12 篇 liu jianguo
11 篇 shi yu
10 篇 huang zhenghua
10 篇 hua xia
9 篇 chen zhong
9 篇 wang yuehuan
9 篇 zhang jq
9 篇 zhou chengping
9 篇 zhang tx
9 篇 jiang hong

语言

1,067 篇 英文

检索条件"任意字段=Third International Symposium on Multispectral Image Processing and Pattern Recognition"

共 1067 条记录，以下是31-40 订阅

全选清除本页清除全部题录导出标记到"检索档案"

详细简洁

排序：

Selecting matching area based on deep learning keypoint features 12

Selecting matching area based on deep learning keypoint feat...

引用

SPIE 12th international symposium on multispectral image processing and pattern recognition, MIPPR 2023

作者： Ding, Tian Tian, Tian Tian, Jinwen National Key Laboratory of Multispectral Information Intelligent Processing Technology Huazhong University of Science and Technology Wuhan China

ISBN: (数字)9781510674943

ISBN: (纸本)9781510674936

Selecting the appropriate matching area is one of the crucial tasks in scene matching systems, serving as the basis for trajectory planning. Currently, there are two main approaches for adaptation zone selection: Traditional statistical feature-based adaptation zone selection methods and deep learning-based adaptation zone selection methods. The former relies on multi-Threshold screening to choose adaptation zones, resulting in a complex and less accurate process. The latter employs model training to select adaptation zones, improving accuracy, but it tends to yield less stable results. Therefore, this paper utilizes the *** network to extract keypoints and their feature descriptors within the scene region as the initial feature set. It employs support vector regression as the matching probability prediction model and uses threshold segmentation on the predicted probabilities to ultimately determine the adaptability of the region. Experimental results demonstrate that the adaptation zone selection method proposed in this paper offers higher accuracy and stability. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Navigation

来源：评论

学校读者我要写书评

暂无评论

Study on transmission and nanofocusing characteristics of surface array micronano metasurface 12

Study on transmission and nanofocusing characteristics of su...

引用

SPIE 12th international symposium on multispectral image processing and pattern recognition, MIPPR 2023

作者： Ji, Wuyang Duan, Shenghua Liu, Taige Zhang, Xinyu National Key Laboratory of Science & Technology on Multispectral Information Processing Huazhong University of Science & Technology Wuhan430074 China School of Artificial Intelligence & Automation Huazhong University of Science & Technology Wuhan430074 China

ISBN: (数字)9781510674929

ISBN: (纸本)9781510674912

The optical metasurface formed by the periodic arrangement of micro-nano structures with sub-wavelength size can efficiently sense and control the polarization, amplitude and phase of electromagnetic waves. When the light incident on the metasurface, the resonance response based on the plasmon will be generated at the position of wave vector matching in the periodic micro-nano structure, which will change the surface charge distribution characteristics. The properties of light reflection, light transmission, light absorption and local enhancement of the metasurface in infrared band can be effectively improved by setting the size, shape, material composition and period spacing of the surface micro -nano structure reasonably. Based on the characteristics of plasmon on solid surface, the metasurface composed of metal excitation layer of titanium array is designed. The local enhanced metasurface with low reflection characteristics is obtained by reasonable configuration of titanium structure parameters such as size and period. In order to further improve its optical transmittance in infrared band, a variety of substrate materials, such as silicon, silicon dioxide and zinc selenide, were simulated and verified. Finally, a zinc-selenide titanium array metasurface with an average transmittance of 68% in 1-14μm band was obtained. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： II-VI semiconductors

来源：评论

学校读者我要写书评

暂无评论

Human pose estimation constrained by human structure information 12

Human pose estimation constrained by human structure informa...

引用

SPIE 12th international symposium on multispectral image processing and pattern recognition, MIPPR 2023

作者： Zou, Lamei Wang, Hao Xie, Jia Wu, Chengqing Lu, Luhan Guo, Yichun National Key Laboratory of Multispectral Information Intelligent Processing Technology School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan China

ISBN: (数字)9781510674967

ISBN: (纸本)9781510674950

We present a two-dimensional human pose estimation network constrained by the human structure information (HSINet). HSINet effectively fuses features of different scales and explicitly integrates human structure information to enhance the precision of key point localization. The architecture of HSINet comprises three pivotal modules: The feature extraction module, the encoding module, and the decoding module. The feature extraction module within HSINet employs the architecture of High-Resolution Net (HRNet). In contrast to HRNet, we remove redundant layers, and enhance the ability to combine global features and local features using the Gated Attention Unit (GAU). The second module encodes the feature maps derived from the feature extraction module. Each feature map corresponds to a joint point and is characterized by two feature vectors representing the x and y axes. Utilizing graph convolution for encoding introduces constraints based on human structure information. Subsequently, these encoded feature maps are decoded into precise coordinates of key points. The experiment results on COCO datasets show that our proposed method can improve the precision of key point detection while effectively reducing the number of parameters. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Feature extraction

来源：评论

学校读者我要写书评

暂无评论

Robust facial landmark detection network based on multiscale attention residual blocks 12

Robust facial landmark detection network based on multiscale...

引用

SPIE 12th international symposium on multispectral image processing and pattern recognition, MIPPR 2023

作者： Zou, Lamei Xie, Jia Wang, Hao Lu, Luhan Wu, Chengqing Guo, Yichun Zhang, Tianbao National Key Laboratory of Multispectral Information Intelligent Processing Technology School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan China

ISBN: (数字)9781510674967

ISBN: (纸本)9781510674950

We present a robust facial landmark detection network based on multiscale attention residual blocks (MARBNet) for effectively predicting facial landmark. MARBNet consists of three modules. Firstly, the coarse feature extraction module obtains coarse features through convolution, batch normalization, ReLU activation, and maximum pooling. The fine feature extraction module is composed of 33 multiscale attention residual blocks (MARB). MARB is composed of 1x1 convolution layer, 3x3 convolution layer, 1x1 convolution layer, two multiscale convolution module(MulRes) and channel attention module(CAM). MulRes is used to extract complementary features of different scales, obtain more feature information under different Receptive field, and avoid excessive loss of key information in the input image. CAM enables the network to pay more attention to high-frequency information on the channel, effectively prevents the loss of information, so as to improve the effect of facial landmark detection. The output module consists of two 1x1 convolution layers, one of which outputs landmark heatmap score and landmark coordinate offset, and the other outputs the nearest neighbor landmark offset. The experiment results on WFLW and 300W datasets show that our method is superior to the existing algorithms in terms of normalized mean square error indicators. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Convolution

来源：评论

学校读者我要写书评

暂无评论

An image enhancement algorithm based on multi-scale Retinex theory to improve the images quality of sensors 12

An image enhancement algorithm based on multi-scale Retinex ...

引用

SPIE 12th international symposium on multispectral image processing and pattern recognition, MIPPR 2023

作者： Li, Yiyao Chen, Zhong Sun, Wenyuan School of Journalism and Communication Central China Normal University Luoyu Road 152 Wuhan China School of Artificial Intelligence and Automation Huazhong University of Science and Technology Luoyu Road 1037 Wuhan China National Key Laboratory of Science and Technology on Multi-spectral Information Processing Luoyu Road 1037 Wuhan China Key Laboratory of Ministry of Education for Image Processing and Intelligent Control Luoyu Road 1037 Wuhan China Central China Normal University Library Luoyu Road 152 Wuhan China

ISBN: (数字)9781510674967

ISBN: (纸本)9781510674950

Nowadays, image recognition plays a pivotal role in acquiring data via sensors. However, the adaptability of traditional algorithms is hindered by the unpredictable nature of open environments, varying sensor quality, and image dimensions. Challenges arise in adverse conditions like inclement weather, low light, and optical distortions. Retinex-based methods have emerged as a viable solution, effectively enhancing images plagued by shadows or poor lighting. Yet, issues surface when images possess saturated colors;the conventional multi-scale Retinex with color restoration risks color inversion. Moreover, during gain compensation, extreme histogram values occupy significant gray level space, obscuring vital image details. This study delves into these challenges and proposes an enhanced multi-scale Retinex algorithm. Our approach substitutes logarithmic functions with tansig functions, eliminating color inversion risks. Additionally, a novel gain compensation method, integrating histogram stretching with Gamma correction, refines image clarity. The algorithm's robustness is evidenced in diverse scenarios, including adverse weather, low light, underwater imaging, and non-uniform lighting. Experimental results validate our method's superiority, surpassing other Retinex-based techniques both qualitatively and quantitatively. This research contributes valuable insights into image enhancement methodologies, fostering advancements in sensor-based data gathering in Smart Spaces. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： image enhancement

来源：评论

学校读者我要写书评

暂无评论

Accurate extraction of line-structured optical stripe centerlines under low exposure 12

Accurate extraction of line-structured optical stripe center...

引用

SPIE 12th international symposium on multispectral image processing and pattern recognition, MIPPR 2023

作者： Zhu, Cheng Tian, Keyun Gao, Yao Ding, Zhiqiang Hubei Key Laboratory of Optical Information and Pattern Recognition China Hubei Engineering Research Center of Video Image and HD Projection China School of Electrical and Information Engineering Wuhan Institute of Technology Wuhan430205 China

ISBN: (数字)9781510674967

ISBN: (纸本)9781510674950

The line-structure light bar images acquired in industrial metal parts inspection may suffer from inaccurate extraction of the centerline of the line structure light bar due to the interference of ambient lighting and strong diffuse reflection and weak reflection of the part surface material. For this reason, this study proposes a method based on G-HL (Gauss-Hyper-Laplace Distribution) curve fitting to improve the center extraction accuracy of the line structure light bar in complex environments. First, the method uses Gaussian filtering to denoise the line-structured light image. Then, the laser line target pixel region is localized by finding the upper and lower boundaries of the line-structured light bar using the neighborhood gradient for each column of the line-structured light image, and the width of the line-structured light bar is calculated by the difference of the boundary coordinates, and the fitting interval is determined. Finally, within the fitting interval, the G-HL curve is used to fit the gray scale of the line-structured light cross-section to obtain the G-HL parameter, and the point of the maximum value of the G-HL curve is taken to be the coordinates of the center of the line-structured light. Experiments prove that the proposed method can accurately extract the center of the line structure light in low exposure. Compared with the methods such as the grayscale center of gravity method and the extreme value method, the proposed method has high accuracy and robustness. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Curve fitting

来源：评论

学校读者我要写书评

暂无评论

Mid-long-wave infrared broadband absorber based on multi-layer plasma cavities metasurface 12

Mid-long-wave infrared broadband absorber based on multi-lay...

引用

SPIE 12th international symposium on multispectral image processing and pattern recognition, MIPPR 2023

作者： Duan, Shenghua Yang, Guang Zhang, Xinyu National Key Laboratory of Science & Technology on Multispectral Information Processing Huazhong University of Science & Technology Wuhan430074 China School of Artificial Intelligence & Automation Huazhong University of Science & Technology Wuhan430074 China

ISBN: (数字)9781510674929

ISBN: (纸本)9781510674912

Efficient absorption in the mid-long-wave infrared region is crucial for various applications, including thermal imaging and sensing, infrared spectroscopy, and camouflage. A multilayered metal-insulator-metal-based infrared plasmonic metamaterial absorber utilizing a stacked nanocavity meta-surface consisting of a double-layer cylindrical metal-insulator-metal structure (DCMIM) is proposed. This absorber demonstrates wideband absorption capabilities with an average absorption rate exceeding 75% in the 3-14μm range. To understand the spectral absorption mechanisms, a comprehensive analysis is conducted using the Finite Difference Time Domain and Fabry-Perot resonance model. The analysis reveals physical mechanisms such as strong coupling between plasmon resonances and phonon vibrations loss from the dielectric spacer, as well as localized surface plasmon resonance. It is worth noting that the quantities of plasma cavities significantly impacts the performance of the absorber. By adjusting the material type and thickness of the film layer, it becomes possible to effectively compensate for the performance limitations of a single dielectric layer material within specific wavelength bands. Experimental results, combined with theoretical analysis of the DCMIM structure, establish a new approach to the design of broadband infrared absorbers. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Metal insulator boundaries

来源：评论

学校读者我要写书评

暂无评论

Remote Sensing image Cloud Detection Algorithm Based on Residual Network Module and Pyramid Structure of Dilated Convolution 12

Remote Sensing Image Cloud Detection Algorithm Based on Resi...

引用

SPIE 12th international symposium on multispectral image processing and pattern recognition, MIPPR 2023

作者： Chen, Yi Zhu, Ying School of Electrical and Information Engineering Hubei Key Laboratory of Optical Information and Pattern Recognition Wuhan Institute of Technology Wuhan430205 China

ISBN: (数字)9781510675001

ISBN: (纸本)9781510674998

Approximately 50% of the Earth's surface is covered by clouds. Optical remote sensing satellites encounter challenges in capturing clear ground images due to the difficulty of visible photoelectric magnetic waves penetrating clouds. Therefore, cloud detection is an essential and basic step in the processing and application of optical satellite remote sensing images. The traditional threshold-based cloud detection methods utilize spectral information of images to set thresholds, which is sensitive and less adaptable to varying imaging conditions. To enhance cloud detection performance, this paper proposes a deep learning method that combines residual network module and pyramid structure of dilated convolution. The method employs an encoder-decoder structure where the residual convolution module replaces conventional convolution kernels, reducing parameter quantity while enhancing feature expression capabilities. Furthermore, a pyramid structure of dilated convolution is introduced between the encoder and decoder to improve the acquisition of global information and reduce misjudgment of cloud pixels. In this work, ablation experiments are conducted to validate the reliability of the proposed network model. To evaluate the effectiveness of the proposed method, GaoFen-1 remote sensing image data was used for experimental verification. The results indicated that compared to traditional methods, the proposed approach achieves satisfactory cloud detection results in various surface types, including barren land, forests, grasslands/crops, and wetlands, while having a smaller model size and parameter quantity. © 2024 SPIE.

关键词： Convolution

来源：评论

学校读者我要写书评

暂无评论

Robust diffractive neural networks for resilient all-optical intelligent imaging detection 12

Robust diffractive neural networks for resilient all-optical...

引用

SPIE 12th international symposium on multispectral image processing and pattern recognition, MIPPR 2023

作者： Shi, Jiashuo Zhang, Xinyu National Key Laboratory of Science & Technology on Multi-spectral Information Processing Huazhong University of Science & Technology Wuhan430074 China School of Artificial Intelligence & Automation Huazhong University of Science & Technology Wuhan430074 China

ISBN: (数字)9781510675001

ISBN: (纸本)9781510674998

Conventional imaging detection relies on electrical modulation, but it grapples with limitations in speed and adaptability within complex environments. Intelligent imaging detection, capable of manipulating micro-nano-lightfields generated by imaging objective lenses, is essential. The all-optical deep diffractive neural network (D2NN) offers a potential solution, enabling swift spatial information transformation and recognition. However, existing D2NN versions are vulnerable to optical disturbances due to their reliance on computer-based backpropagation. This paper introduces a robust diffractive neural network (SRNN) mathematical model designed to mitigate the impact of structural errors and lightwave frequency shifting without necessitating hardware modifications. The SRNN model incorporates Gaussian noise at various levels during training to emulate the error distribution of the phase mask, augmenting the network's resilience to hardware errors. Weight-Noise-Injection training assists the network in locating an error-insensitive region, thereby enhancing its robustness. © 2024 SPIE.

关键词： Optical data processing

来源：评论

学校读者我要写书评

暂无评论

Ice area and 3D ice shape measurement method based on polarized light imaging 12

Ice area and 3D ice shape measurement method based on polari...

引用

SPIE 12th international symposium on multispectral image processing and pattern recognition, MIPPR 2023

作者： Liu, Ziyu Gui, Kang Ge, Junfeng Ye, Lin National Key Laboratory of Science & Technology on Multispectral Information Processing Huazhong University of Science & Technology Wuhan430074 China School of Artificial Intelligence & Automation Huazhong University of Science & Technology Wuhan430074 China

ISBN: (数字)9781510674929

ISBN: (纸本)9781510674912

Aircraft icing is a severe threat to safe flight. The conditions and efficiency of current ice area and 3D ice shape measurement methods do not meet the research requirements for ice wind tunnel experiments. To address these issues, we propose a method for measuring ice area and 3D ice shape based on polarized light imaging for non-contact measurement. In this paper, we obtain p-polarized light image and s-polarized light image of the experimental area under the linearly polarized light environment. And we use the Otsu algorithm and the SAM (Segment Anything Model) algorithm to measure the ice area under different substrate conditions. On this basis, we extract the linearly polarized light reflected from the ice surface, and reconstruct the 3D ice surface shape by combining the linearly polarized laser scanning method based on polarized light imaging. The experimental results indicate that our method can detect the ice area in real time and the average measurement error of the ice area is less than 1.6%, which achieves superior measurement performance with different ice types at a low cost. For different ice shapes of highly transparent ice, the measurement results agree well with the design data, where the RMSE (Root Mean Square Error) of ice frustum measurement is 0.76 and the RMSE of three cross-sections of different ice shapes are 0.23, 0.27 and 0.45. The results verify the validity of ice area measurement based on polarized light imaging, and demonstrate the effect of complex ice shape measurement based on polarized light imaging, laying a foundation for the real-time measurement research in the ice wind tunnel. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Ice

来源：评论

学校读者我要写书评

暂无评论

没有更多数据了...

全选清除本页清除全部题录导出标记到“检索档案”

共107页 << < 1 2 3 4 5 6 7 8 9 10 > >>

检索报告对象比较合并检索0

隐藏清空

合并搜索

回到顶部

执行限定条件

内容：

评分：

请选择保存的检索档案：

请选择收藏分类：

订阅名称：

通借通还

温馨提示：

图书名称：

借书校区：

取书校区：

手机号码：

邮箱地址：

一卡通帐号：

电话和邮箱必须正确填写，我们会与您联系确认。

联系人：

所在院系：

联系邮箱：

联系电话：

内蒙古自治区呼和浩特市赛罕区大学西街235号邮编: 010021

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：