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

197 篇 会议

馆藏范围

197 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

196 篇 工学
- 100 篇 计算机科学与技术...
- 86 篇 测绘科学与技术
- 41 篇 软件工程
- 30 篇 光学工程
- 28 篇 信息与通信工程
- 12 篇 控制科学与工程
- 6 篇 电气工程
- 6 篇 电子科学与技术（可...
- 3 篇 航空宇航科学与技...
- 2 篇 机械工程
- 2 篇 仪器科学与技术
- 2 篇 生物医学工程（可授...
- 2 篇 生物工程
- 1 篇 动力工程及工程热...
- 1 篇 化学工程与技术
- 1 篇 交通运输工程
- 1 篇 船舶与海洋工程
- 1 篇 城乡规划学
184 篇 理学
- 170 篇 物理学
- 35 篇 数学
- 7 篇 统计学（可授理学、...
- 3 篇 生物学
- 1 篇 大气科学
- 1 篇 海洋科学
- 1 篇 地球物理学
142 篇 医学
- 142 篇 临床医学
- 6 篇 特种医学
5 篇 管理学
- 5 篇 图书情报与档案管...

主题

24 篇 image segmentati...
18 篇 image fusion
9 篇 image analysis
8 篇 image processing
6 篇 wavelet transfor...
6 篇 sar
5 篇 target tracking
5 篇 wavelet
5 篇 image denoising
5 篇 pca
5 篇 image registrati...
4 篇 image matching
4 篇 sar image
3 篇 speckle
3 篇 infrared
3 篇 level set
3 篇 edge detection
3 篇 hyperspectral im...
3 篇 synthetic apertu...
3 篇 multi-scale

机构

10 篇 xidian univ inst...
8 篇 huazhong univ sc...
8 篇 huazhong univ sc...
4 篇 chinese acad sci...
4 篇 huazhong univ sc...
4 篇 wuhan univ sch r...
3 篇 school of automa...
3 篇 wuhan univ sch r...
3 篇 huazhong univ sc...
2 篇 cas china remote...
2 篇 chinese acad sci...
2 篇 beihang univ sch...
2 篇 huazhong univ sc...
2 篇 chinese acad sci...
2 篇 lab. of intellig...
2 篇 inst high tech h...
2 篇 state key labora...
2 篇 college of infor...
2 篇 wuhan inst techn...
2 篇 institute of int...

作者

12 篇 jiao licheng
11 篇 tian jinwen
9 篇 zhang tianxu
5 篇 cai chao
5 篇 ding mingyue
4 篇 li dehua
4 篇 wang shuang
4 篇 liu jian
4 篇 zhang jianqing
3 篇 hong hanyu
3 篇 hu maolin
3 篇 hou biao
3 篇 zhang hong
3 篇 zhang bing
3 篇 yan luxin
3 篇 zhou chengping
3 篇 cao zhiguo
3 篇 peng fuyuan
2 篇 liu zhifang
2 篇 chen ying

语言

197 篇 英文

检索条件"任意字段=MIPPR 2007: Multispectral Image Processing"

共 197 条记录，以下是191-200 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：

Efficient and robust global motion estimation for n automatic target recognition

Efficient and robust global motion estimation for n automati...

引用

mippr 2007: Automatic Target Recognition and image Analysis;and multispectral image Acquisition

作者： Ming, Jin Bin, Xue Dingming, Peng Department of Image Analysis Laboratory Southwest Automation Research Institute Mianyang Sichuan Province 621000 China

ISBN: (纸本)9780819469502

In the automatic target recognition with complex background, the method of detecting motion target using the global motion estimation (GME) in image sequences is often proposed. Due to the possible presences of differently moving foreground objects and other sources of distortions, improvement of robustness and preciseness of GME is very difficult. Therefore the method of GME based on the M-estimators' formulation with direct multi-resolution is proposed in our paper. The M-estimators' formulation is not only executed in gradient descent at each level of the pyramid, but also applied in initial translation estimation with minimal SSD at the coarsest level, which assures the convergence of the subsequent gradient descent algorithm. Comparative experiments are performed to validate the performance of the proposed algorithm. The effectiveness and improvements can be observed from the comparisons.

关键词： Motion estimation

来源：评论

学校读者我要写书评

暂无评论

Extraction of residential information from high-spatial resolution image integrated with upscaling methods and object multi-features - art. no. 678605

Extraction of residential information from high-spatial reso...

引用

5th International Symposium on multispectral image processing and Pattern Recognition

作者： Dong, Lixin Wu, Bingfang Chinese Acad Sci Inst Remote Sensing Applicat Beijing 100101 Peoples R China

ISBN: (纸本)9780819469502

Monitoring residential areas at a regional scale, and even at a global scale, has become an increasingly important topic. However, extraction of residential information was still a difficulty and challenging task, such as multiple usable data selection and automatic or semi-automatic techniques. In metropolitan area, such as Beijing, urban sprawl has brought enormous pressure on rural and natural environments. Given a case study, a new strategy of extracting of residential information integrating the upscaling methods and object multi-features was introduced in high resolution SPOT fused image. Multi-resolution dataset were built using upscaling methods, and optimal resolution image was selected by semi-variance analysis approach. Relevant optimal spatial resolution images were adopted for different type of residential area (city, town and rural residence). Secondly, object multi-features, including spectral information, generic shape features, class related features, and new computed features, were introduced. An efficient decision tree and Class Semantic Representation were set up based on object multi-features. And different classes of residential area were extracted from multi-resolution image. Afterwards, further discussion and comparison about improving the efficiency and accuracy of classification with the proposed approach were presented. The results showed that the optimal resolution image selected by upscaling and semi-variance method successfully decreased the heterogeneous, smoothed the noise influence, decreased computational, storage burdens and improved classification efficiency in high spatial resolution image. The Class Semantic Representation and decision tree based on object multi-features improved the overall accuracy and diminished the 'salt and pepper effect'. The new image analysis approach offered a satisfactory solution for extracting residential information quickly and efficiently.

关键词： upscaling methods object multi-features semi-variance analysis multi-resolution residential area

来源：评论

学校读者我要写书评

暂无评论

Road extraction based on scansnake for Beijing-1 image

Road extraction based on scansnake for Beijing-1 image

引用

5th International Symposium on multispectral image processing and Pattern Recognition

作者： Gong, Jianming Yang, Xiaomei Wang, Min Lu, Jian Zhang, Dandan Wuhan Univ Sch Remote Sensing & Informat Engn Wuhan Peoples R China Wuhan Univ Sch Remote Sensing & Informat Engn Wuhan Peoples R China Chinese Acad Sci State Key Lab Resources & Environm Informat Syst Beijing Peoples R China Nanjing Normal Univ Sch Geograph Sci Nanjing Peoples R China

ISBN: (纸本)9780819469502

Beijing-1 small satellite image of 4m high resolution not only makes it possible to extract the detailed information that is difficult to be obtained from low-resolution images, but also brings out new research subjects for automatic extraction and identification of thematic information. The reason for this are as follows:(1) the obvious increase of data requires higher spatial and temporal efficiency of image data retrieval, display, processing, etc.;(2) due to the highly detailed information of high resolution image, under the influence of the Bidirectional Reflectance Distribution Function (BRDF), different parts of the same object may have different grey levels;together with factors such as object shadow, mutual cover, and cloud cover, the phenomenon of same object, different spectrum of high resolution images becomes more prominent, and the different object, same spectrum still exists, which brings greater difficulties to the work of information extraction [1][2]. The road of high resolution image has the following features: (1) the width of the road varies slightly and slowly;(2) the direction of the road varies slowly;(3) the local mean grey level of the road varies slowly;(4) the road is relatively long. Due to the increase of the resolution, the noises such as bridges, cars and trees along the road and its edge also increase. The paper proposes a new road extraction algorithm namely Scansnake aimed at the features of Beijing-1 images. A large amount of experiments proved that Scansnake algorithm has the advantage of object tracking, and under a series of complex conditions such as the variation of the width of the road and the change of grey feature distribution, Scansnake method can extract the road information of the high resolution Beijing-1 image.

关键词： Beijing-1 small satellite road extraction Scansnake algorithm section plane analysis

来源：评论

学校读者我要写书评

暂无评论

Preliminary study on ice crevasse te texture analysis and recognition

Preliminary study on ice crevasse te texture analysis and re...

引用

mippr 2007: Automatic Target Recognition and image Analysis;and multispectral image Acquisition

作者： Zhou, Chunxia Dongchen, E. Wang, Zemin Wuhan University Wuhan 430079 China

ISBN: (纸本)9780819469502

The Antarctic is in very close relationship with the global climate, ecology environment, and the future of the human being. And it is unscientific to explore the Antarctic without any touch. While, crevasse is one of the most dangerous factors to the team members during the field expedition. Crevasse detection is very important in polar scientific research expedition for the safety;meanwhile, it is also meaningful information for ice flow monitoring. This paper presents the preliminary study on ice crevasse texture analysis and recognition based on SPOT image and coherence map derived from SAR image of Grove Mountains, east Antarctica. Since radar can penetrate the snow, it can detect the crevasse under the snow which can't be detected by optical satellite data. Based on the texture characteristics, gray level cooccurrence matrix is chosen at first to recognize the crevasse in SPOT image and coherence map respectively. And the results and the difference are analyzed. Optical and radar imagery both are valuable, however, there is no single sensor that gives 100 percent of the crevasses. Meanwhile, gray level co-occurrence matrix method can not detect the crevasse at 100 percent accuracy. More texture analysis method will be studied in further research.

关键词： image analysis

来源：评论

学校读者我要写书评

暂无评论

Remote visualization for large terrain surfaces based on parallel streaming pipeline architecture

Remote visualization for large terrain surfaces based on par...

引用

Conference on Medical Imaging, Parallel processing of images, and Optimization Techniques

作者： Hu, Chun Tian, Jinwen Ming, Delie Shen, DaJiang Huazhong Univ Sci & Technol State Key Lab Multispectral Informat Proc Technol Wuhan 430074 Peoples R China

ISBN: (纸本)9780819469533

Datasets of tens of gigabytes are becoming common in computational and experimental science. Providing remote visualization of these large datasets with adequate levels of quality and interactivity is an extremely challenging task, particularly for scientists who collaborate in widely distributed locations and their primary access to visualization resources is a desktop computer. This paper describes a remote visualization system for large-scale terrain rendering based on parallel streaming pipeline architecture. The visualization pipeline is divided in a client-server paradigm to take advantage of the powerful computing and storage resources on the dedicated computers. The two key components of this framework are: view-dependent simplification of the terrain mesh;and a scheme for delivering a minimally necessary subset of triangle strips to any user requesting an interactive visualization session. To verify the effectiveness of proposed schemes and data structures, the prototype system was implemented on China next-generation Internet backbone. Approximate 60GB size image resources for flight simulation were stored centrally in Wuhan, whereas scientists geographically dispersed in Beijing and Shanghai could manipulate and visualize these large 3D datasets in an efficient and flexible way, furthermore, the need for data replication to local desktops was eliminated.

关键词： remote visualization large-scale datasets view-dependent simplification streaming pipeline

来源：评论

学校读者我要写书评

暂无评论

Novel framework for producing multi-scale and multi-viewpoint images based on remote sensing stereopair - art. no. 67881G

Novel framework for producing multi-scale and multi-viewpoin...

引用

Conference on Pattern Recognition and Computer Vision

作者： Tan, Ying Cao, Zhiguo Li, Yukun Huazhong Univ Sci & Technol Inst Pattern Recognit & Artificial Intelligence State Key Lab Multispectral Informat Proc Technol Wuhan 430074 Peoples R China

ISBN: (纸本)9780819469526

Automatic target recognition(ATR) is the key of the image guidance technology, yet it is difficult to recognize the target by merely depending on the real-time image acquired by flying vehicle cameras, moreover, the task of recognizing the target from the real-time images by the vehicle-carrying image processing system is a hard work itself The main trend of the ATR nowadays is to make utilization of the images produced by high-resolution remote sensing satellite to retrieve the front elevation of the interested region before hand. These front elevations are loaded upon the flying vehicles and are matched with the real-time images acquired by vehicle-carrying cameras to recognize the interested target. Obviously, the key step of this method is to recover the 3D information from 21) images. This paper proposed a framework to produce multi-scale and multi-viewpoint projection images based on remote sensing satellite stereopair by means of photogrammetry and computer vision. First we proposed a algorithm for reconstructing the 3D structure of the target by digital photogrammetric techniques and establishing the 3D model of the target using the OpenGL visualization toolkit. Then the conversion relationship between the world coordinate system and the simulation space coordinate system is provided to produce the front elevation in the simulation space.

关键词： 3D reconstruction multi-scale multi-viewpoint front elevation gauss plane gauss coordinates system simulation space

来源：评论

学校读者我要写书评

暂无评论

Automatic needle segmentation in 3D ultrasound images using 3D Hough transform

Automatic needle segmentation in 3D ultrasound images using ...

引用

Conference on Medical Imaging, Parallel processing of images, and Optimization Techniques

作者： Zhou, Hua Qiu, Wu Ding, Mingyue Zhang, Songgeng Huazhong Univ Sci & Technol State Key Lab Multispectral Informat Proc Technol Inst Pattern Recognit & Artificial Intelligence Wuhan 430074 Peoples R China

ISBN: (纸本)9780819469533

3D ultrasound (US) is a new technology that can be used for a variety of diagnostic applications, such as obstetrical, vascular, and urological imaging, and has been explored greatly potential in the applications of image-guided surgery and therapy. Uterine adenoma and uterine bleeding are the two most prevalent diseases in Chinese woman, and a minimally invasive ablation system using an RF button electrode which is needle-like is being used to destroy tumor cells or stop bleeding currently. Now a 3D US guidance system has been developed to avoid accidents or death of the patient by inaccurate localizations of the electrode and the tumor position during treatment. In this paper, we described two automated techniques, the 3D Hough Transform (3DHT)and the 3D Randomized Hough Transform (3DRHT), which is potentially fast, accurate, and robust to provide needle segmentation in 3D US image for use of 3D US imaging guidance. Based on the representation (Phi, theta, rho, alpha) of straight lines in 3D space, we used the 3DHT algorithm to segment needles successfully assumed that the approximate needle position and orientation are known in priori. The 3DRHT algorithm was developed to detect needles quickly without any information of the 3D US images. The needle segmentation techniques were evaluated using the 3D US images acquired by scanning water phantoms. The experiments demonstrated the feasibility of two 3D needle segmentation algorithms described in this paper.

关键词： 3D ultrasound images needle segmentation 3D Hough transform 3D randomized Hough transform

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20页 << < 11 12 13 14 15 16 17 18 19 20 > >>

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：