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

164 篇 会议
1 篇 期刊文献

馆藏范围

165 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

155 篇 理学
- 143 篇 物理学
- 28 篇 数学
- 6 篇 统计学（可授理学、...
- 2 篇 生物学
- 1 篇 化学
- 1 篇 大气科学
- 1 篇 海洋科学
154 篇 工学
- 98 篇 测绘科学与技术
- 33 篇 计算机科学与技术...
- 29 篇 软件工程
- 25 篇 信息与通信工程
- 23 篇 光学工程
- 14 篇 电气工程
- 6 篇 控制科学与工程
- 5 篇 电子科学与技术（可...
- 4 篇 机械工程
- 3 篇 仪器科学与技术
- 2 篇 化学工程与技术
- 2 篇 生物工程
- 1 篇 动力工程及工程热...
- 1 篇 交通运输工程
- 1 篇 航空宇航科学与技...
- 1 篇 农业工程
- 1 篇 生物医学工程（可授...
118 篇 医学
- 118 篇 临床医学
3 篇 管理学
- 3 篇 图书情报与档案管...
1 篇 农学
- 1 篇 作物学

主题

23 篇 image segmentati...
9 篇 target tracking
6 篇 image processing
6 篇 target detection
5 篇 image fusion
5 篇 image matching
4 篇 wavelet
4 篇 image denoising
4 篇 image analysis
4 篇 image recognitio...
4 篇 image registrati...
3 篇 level set
3 篇 edge detection
3 篇 feature extracti...
3 篇 isar imaging
2 篇 image enhancemen...
2 篇 wavelet transfor...
2 篇 fuzzy logic
2 篇 template
2 篇 image acquisitio...

机构

6 篇 xidian univ inst...
4 篇 huazhong univ sc...
4 篇 wuhan univ sch r...
3 篇 school of automa...
3 篇 graduate school ...
3 篇 natl univ def te...
3 篇 chinese acad sci...
2 篇 wuhan univ sch r...
2 篇 tsinghua univ de...
2 篇 chinese acad sci...
2 篇 beihang univ sch...
2 篇 huazhong univ sc...
2 篇 chinese acad sci...
2 篇 xidian univ inst...
2 篇 shenyang institu...
2 篇 univ sci & techn...
2 篇 wuhan inst techn...
2 篇 wuhan univ natl ...
2 篇 state key labora...
2 篇 chinese acad sci...

作者

10 篇 jiao licheng
8 篇 zhang tianxu
4 篇 liu yang
4 篇 shi zelin
4 篇 tian biao
3 篇 chen zengping
3 篇 wang shuang
3 篇 yan luxin
3 篇 tian jinwen
3 篇 li gang
3 篇 peng fuyuan
2 篇 liu zhifang
2 篇 zhou xiaodong
2 篇 cai chao
2 篇 hong hanyu
2 篇 hu maolin
2 篇 ding mingyue
2 篇 li yun
2 篇 wang cheng
2 篇 li haigang

语言

164 篇 英文
1 篇 中文

检索条件"任意字段=MIPPR 2007: Automatic Target Recognition and Image Analysis;and Multispectral Image Acquisition"

共 165 条记录，以下是1-10 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：

Proceedings of SPIE - mippr 2007 automatic target recognition and image analysis;and multispectral image acquisition

Proceedings of SPIE - MIPPR 2007 Automatic Target Recognitio...

引用

mippr 2007: automatic target recognition and image analysis;and multispectral image acquisition

ISBN: (纸本)9780819469502

The proceedings contain 198 papers. The topics discussed include: human recognition at a distance;tracking face poses toward meeting video analysis;framework for feature selection for cost shadow removal;dynamic object recognition and tracking of mobile robot by monocular vision;joint deconvolution of adaptive optics images from slope measurements of wavefront sensor;filtering strategy on offline invariant feature detecting based on information content and distribution constraints;feature-based nonrigid image registration using multi-class Hausdroff fractions;object region extraction based on graph cut and application in image retrieval;improved algorithm for image decomposition based on bidimensional EMD;algorithm for image fusion based on finite ridgelet transform;and point matching of two images under large different resolution.

关键词： image analysis

来源：评论

学校读者我要写书评

暂无评论

recognition method of harbor target in remote sensing image

Recognition method of harbor target in remote sensing image

引用

mippr 2007: automatic target recognition and image analysis;and multispectral image acquisition

作者： Huang, Yongjie Wang, Shuguo Xing, Kun Robotics Institute Harbin Institute of Technology Harbin 150001 China

ISBN: (纸本)9780819469502

The research on harbor recognition from remote sensing image is a very complicated problem due to complex environment and features. On this mentioned above, a method is presented to recognize the targets with various transformations on the basis of harbor targets extraction. This paper investigates the environmental characteristics of the harbor target. After preprocessing and segmenting real-time image, the inside region which reflects the nature of the harbor is extracted. From inside region the moment invariants can be calculated that it has the invariability with displacement, rotation and scale. According to the practical application, an experimental system based on harbor targets recognition is established. The result indicates that the harbor targets in remote sensing images can be recognized accurately using the method presented.

关键词： image recognition

来源：评论

学校读者我要写书评

暂无评论

Research on feature recognition algorithm for space target

Research on feature recognition algorithm for space target

引用

mippr 2007: automatic target recognition and image analysis;and multispectral image acquisition

作者： Zhang, Jian Zhou, Xiaodong Department of Control Engineering Naval Aeronautical Engineering Institute Yantai Shandong 264001 China

ISBN: (纸本)9780819469502

In this paper, a robust methodology on space target feature recognition is introduced. Aiming at area space target, its invariant features about geometry, affine transform and gray-level changing are extracted. Using the Backpropagation Fuzzy Neural Network (BPFNN) classifier, different models of target are classified and recognized. Aiming at point space target, firstly, local gray-level probability is computed and used to separate target and stars from background by setting threshold. Then by using multi-frame image accumulation, the contrast between target and stars is enhanced. Finally, target's accurate coordination has been achieved through centroid method with gray-level weighted. It has been improved that algorithm adopted in this study can reach approximately 93% accuracy of recognition for area target and 0.1 pixel of positioning accuracy for point target.

关键词： Feature extraction

来源：评论

学校读者我要写书评

暂无评论

image segmentation using improved watershed transform

Image segmentation using improved watershed transform

引用

mippr 2007: automatic target recognition and image analysis;and multispectral image acquisition

作者： Geng, Li Xiaoqian, Chen Digital Video Technology and Communication Institute Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9780819469502

Watershed transform is a morphological image segmentation method which is widely used in medical image processing, video processing and many other fields. The ultimate goal of the transform is to identify the objects of interest in the input image. However, the main problem of watershed transform is its sensitivity to intensity variations, resulting in over segmentation problem. The main goal of this work is to overcome the drawback of the traditional watershed algorithm. The proposed algorithm in this paper is to retain the most significant regions of the image when the image is under noisy conditions and the objects in the image have detailed textures.

关键词： image segmentation

来源：评论

学校读者我要写书评

暂无评论

target trace acquisition method in serial star images of moving background

Target trace acquisition method in serial star images of mov...

引用

mippr 2007: automatic target recognition and image analysis;and multispectral image acquisition

作者： Chen, Biao Zhang, Chunhua Zhou, Xiaodong Navy Submarine Academy Qingdao 266000 China Naval Aeronautical Engineering Institute NAEI Yantai 264001 China

ISBN: (纸本)9780819469502

The paper put forward a small target trace acquisition algorithm in serial star images of moving background, For the CCD serial star images, while the space target is moving, the background is still moving because of the CCD flat is moving, At the same time, because of dithering of CCD flat and some other reasons, the gray value of target is not invariable, so much as to disappear in the background noise, The algorithm can detect the discontinuous trace of small space target with high accuracy, Originally, the K-sigma cross projection method is used in background star and target area acquisition, Then, a group of N brightest stars in every image is used to estimate the moving vector of the whole background, Finally, a target trace acquisition method is put forward, The simulation experiment is done with two small targets in 16 frame serial star images, and results of trace acquisition show that the algorithm can detect traces of the two targets with high accuracy.

关键词： image acquisition

来源：评论

学校读者我要写书评

暂无评论

Modeling human false alarms using clutter metrics

Modeling human false alarms using clutter metrics

引用

mippr 2007: automatic target recognition and image analysis;and multispectral image acquisition

作者： Honghua, Chang Jianqi, Zhang Delian, Liu School of Technical Physics Xidian University Xi'an shaanxi 710071 China

ISBN: (纸本)9780819469502

The TSSIM clutter metrics correlate amazingly well to both the experimental detection probabilities and the mean detection time. Based on the analysis of both probabilities of the correct detections and of the total (correct and false) number of detections made by human observers, a mathematical formula for predicting the probability of false alarms as a function of clutter metrics is presented in this paper. Comparing real experimental data with the predicted products reveal very good agreement, which is very helpful in understanding human behavior mechanisms regarding target detection tasks. It is concluded that the human observer behaves as fixed threshold signal processor /Non-CFAR.

关键词： image analysis

来源：评论

学校读者我要写书评

暂无评论

Quadratic programming based multi-target tracking in infrared image sequence

Quadratic programming based multi-target tracking in infrare...

引用

mippr 2007: automatic target recognition and image analysis;and multispectral image acquisition

作者： Jiuqing, Wan Jinsong, Yu Xiaoqing, Zhang School of Automation Science and Electrical Engineering Beihang University Beijing 100083

ISBN: (纸本)9780819469502

In this paper a novel approach for multiple maneuvering targets tracking in infrared image sequence is proposed. For each target, the measurement weights and model weights, which are essential for data association and multi-model based filtering, are determined jointly by quadratic programming. The proposed method avoids events enumeration process in traditional tracking algorithm such as JPDA and hill-climbing optimization process in classical EM-based algorithm. Simulation results show that compared with IMM+JPDA and recursive EM based algorithm, the proposed quadratic programming based algorithm can achieve good performance in both tracking accuracy and computational complexity.

关键词： target tracking

来源：评论

学校读者我要写书评

暂无评论

Numerical simulation of SAR raw signal for ocean wave

Numerical simulation of SAR raw signal for ocean wave

引用

mippr 2007: automatic target recognition and image analysis;and multispectral image acquisition

作者： Ding, Guo Xingfa, Gu Tao, Yu Qing, Dong Xingfeng, Chen University of Electronic Science and Technology of China 610054 Chengdu State Key Laboratory of Remote Sensing Science Institute of Remote Sensing Applications CAS Beijing 100101 China Demonstration Center of Spaceborne Remote Sensing National Space Administration 100101 Beijing

ISBN: (纸本)9780819469502

In order to study the SAR image of the ocean wave and the wave modulation of the RCS (radar cross section), the numerical simulation has been done by using the velocity bunching (VB) model with various parameters. The SAR image has a migration in the azimuthal direction for the wave velocity and the process of the nonlinear imaging. The way is an available method of studying the ocean wave image by SAR.

关键词： image analysis

来源：评论

学校读者我要写书评

暂无评论

Fast alignment of marks in COG bonding based on multi-resolution

Fast alignment of marks in COG bonding based on multi-resolu...

引用

mippr 2007: automatic target recognition and image analysis;and multispectral image acquisition

作者： Geng, Hui Hong, Hanyu Zhang, Yan Lin, Zhimin Lab. for Image Processing and Intelligence Control Wuhan Institute of Technology Hubei 430074 China

ISBN: (纸本)9780819469502

COG (chip on glass) bonding is widely used in LCD industry. The alignment of marks in COG bonding needs high precision and reliability. It is of utmost importance to find two marks in COG fast and exactly. Its key technique is to use the advanced optical system to get the two-marked positions of chip on the glass, and to use the PLC procedure control to complete the automatic alignment. A series of experiments are performed to test the algorithms proposed, which show that the fast alignment of marks in COG bonding based on multi-resolution is both rational and highly effective.

关键词： Liquid crystal displays

来源：评论

学校读者我要写书评

暂无评论

Adaptive background model

Adaptive background model

引用

mippr 2007: automatic target recognition and image analysis;and multispectral image acquisition

作者： Xiaochun, Lu Yijun, Xiao Zhi, Chai Bangping, Wang Graphics and Image Research Laboratory School of Computer Science Sichuan University P.O. Box 610064 Chengdu China

ISBN: (纸本)9780819469502

An adaptive background model aiming at outdoor vehicle detection is presented in this paper. This model is an improved model of PICA (pixel intensity classification algorithm), it classifies pixels into K-distributions by color similarity, and then a hypothesis that the background pixel color appears in image sequence with a high frequency is used to evaluate all the distributions to determine which presents the current background color. As experiments show, the model presented in this paper is a robust, adaptive and flexible model, which can deal with situations like camera motions, lighting changes and so on.

关键词： target tracking

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17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：