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961-970 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：

A new architecture for hyperspectral image processing and analysis system: Design and implementation

A new architecture for hyperspectral image processing and an...

引用

3rd international symposium on multispectral image processing and pattern recognition

作者： Yu, JL Hu, XT Zhang, B Ning, SN China Univ Min & Technol Dept Comp Sci Beijing Peoples R China

ISBN: (纸本)0819451819

A new architecture for HIPAS (Hyperspectral image processing and Analysis System V2.0) was introduced in this paper which was modified and improved based on the first version HIPAS V1.0. The comprehensive hyperspectral image analyzing system has been developed under VC++6.0 integrated development environment (IDE) and obtained perfect runtime efficiency and stability. The base architecture was specially designed and implemented to meet the requirements for the rapid preprocessing of imaging spectrometer data and easy prototyping of algorithms. Based on the modularized and object oriented software engineering construction, the architecture is compatible for other UNIX platforms with little modification. The most important components of HIPAS were presented in this paper including tools for input/output, preprocessing, data visualization, information extraction, conventional image analysis, advanced tools, and integrated interface to connect with general spectral databases. Some new methodologies for data analysis and processing were realized and applied to reach some valuable results based on the architecture including mineral identification, agriculture investigation, urban mapping etc. With an open storage architecture, HIPAS is entirely compatible with some advanced special commercial software such as ENVI(C) and ERDAS(C) and even the common image processing system Photoshop(C). At last, a strict and careful software test was carried out and the results were also analyzed and discussed.

关键词： hyperspectral image processing software engineering HIPAS (TM)

来源：评论

学校读者我要写书评

暂无评论

Prior important band hyper-spectral image compression

Prior important band hyper-spectral image compression

引用

3rd international symposium on multispectral image processing and pattern recognition

作者： Li, FP Shao, HM Ma, GR Qin, QQ Li, DR Wuhan Univ LIESMARS Wuhan 430079 Peoples R China

ISBN: (纸本)0819451819

This paper presents a Prior Important Band (PIB) algorithm for the compression of hyper-spectral images. The PIB method endows some of the bands with high priority so that the quality of these bands after compression is better than other bands. The rationale behind this approach is that, the bands of a data cube have different amount of information. Some bands contain much more information and features than other bands. In the PIB algorithm, all bands are classified into four categories according to their importance and easiness for compression. For the simplicity of the compression algorithm, we choose spectral correlation and information amount as the main index. Bands of low spectral correlation and high information are selected as Important Bands. The benefit of this algorithm lies in that it treats the important bands with higher quality quantization, and other bands with comparatively low quality quantization, so that the information can be better preserved after compression. Experimental results illustrate that PIB hyper-spectral image compression algorithm would be suitable for most applications.

关键词： band selection image compression integer wavelet transform hyper-spectral image

来源：评论

学校读者我要写书评

暂无评论

Micro-scan based on liquid crystal optical characteristics

Micro-scan based on liquid crystal optical characteristics

引用

3rd international symposium on multispectral image processing and pattern recognition

作者： Zhang, Y Zhang, BM Bai, LF Qian, WX Nanjing Univ Sci & Technol Sch Elect Engn & Optoelect Technol Nanjing 210014 Jiangsu Peoples R China

ISBN: (纸本)0819451819

In staring Infrared Focal Plane Array (IRFPA) imaging system, the spatial frequency of the scene is always more than half of the sampling frequency, thus aliasing formed. Usually, micro-scanning apparatus are used to reduce the aliased signal energy. When micro-scanning, mechanical scan mirror often used to steer the field-of-view (FOV) of the imaging system over a fraction of the pixel distance. Mechanical equipment is usually large, heavy, complex, expensive and especially less reliability. While, liquid crystal can be used to make a non-mechanical light beam steerer for micro-scan. In this paper, we analyzed the infrared spectrum characteristic and the electro-optical reaction of liquid crystal, and introduced the realization of the light beam steerer.

关键词： IRFPA image process aliasing effect micro-scanning super-resolution spatial integral sampling

来源：评论

学校读者我要写书评

暂无评论

Spectral and spatial feature integrated edge extraction method for high resolution remote sensing image

Spectral and spatial feature integrated edge extraction meth...

引用

3rd international symposium on multispectral image processing and pattern recognition

作者： Li, QQ Ma, JW Bagan, H Han, XZ Liu, ZL Acad Sinica Inst Remote Sensing Applicat Beijing 100101 Peoples R China

ISBN: (纸本)0819451819

With urban and township development and E-Government program promotion in China city remote sensing as base data has developed rapidly. The technique demands in accuracy and effective edge detection and extraction from higher resolution image become important focal area. In the current popular image processing software packages there are some existing edge detection convolution kernels such as Sobel, Robert, Prewitt, Kirsch, Gauss-Laplace kernels. In general the kernels all work based on algorithm of convolution kernel in spatial territory of the image. However, satellite sensors capture spatial and spectral signatures of surface at same time. Use of both spatial and spectral features to establish a edge detection process is a new notion for achieving more accuracy results. In the paper we introduce a spatial and spectral integrated method which is designed in four stages. The result suggests that four stages process can achieve more cleanly and accuracy edges of city constructions than that results of using other algorithms. The procedure is summarized in figure 1.

关键词： spectral and spatial signatures city constructions edge detection

来源：评论

学校读者我要写书评

暂无评论

Method for labeling and completing imperfect line drawing

Method for labeling and completing imperfect line drawing

引用

3rd international symposium on multispectral image processing and pattern recognition

作者： Dong, LJ Gao, MT Chen, GD Northwestern Polytech Univ Xian 710072 Peoples R China

ISBN: (纸本)0819451819

This paper describes the problem of labeling and completing an imperfect line drawing. Almost all of techniques about shape from contour require a perfect line drawing as their input. Experience indicates, however, that lines are often missing. We exhaustively studied all possible configurations of the imperfect line drawing and found that it is closely related to L-junction. W and Y-junctions in the imperfect line drawings are the same as they are in a perfect line drawing, L-junctions, however, are different because they could be degenerated from W or Y ones. In this paper, it is shown that the number of L-junction in the imperfect line drawing is 36. The 36 L-junctions and their corresponding W or Y ones from which they are degenerated are illustrated. We show how to utilize the line labeling and junction to predict and complete missing line.

关键词： imperfect line drawing labeling theory junction planar object shape from contour interpretation reconstruction computer vision image understanding trihedral-plane vertex

来源：评论

学校读者我要写书评

暂无评论

Detecting small target in IR image by eliminating blocks on ground using successive over-relaxation

Detecting small target in IR image by eliminating blocks on ...

引用

3rd international symposium on multispectral image processing and pattern recognition

作者： Cao, J Tian, JW Tao, WB Huazhong Univ Sci & Technol Inst Pattern Recognit & Artificial Intelligence Wuhan 430074 Peoples R China

ISBN: (纸本)0819451819

A method for automatic segmentation and detection of small target in the earth to sky background was presented in this paper. When small target in far distance some objects on ground came upon to the scene. This always resulted in false detection in automatic detecting systems if we segmented small object by only using its illumination. In order to remove the big block and disconnected part a gradient image was made because the gradient scale of the small target and background objects may be comparatively similar. Then an adaptive threshold method was adopted by using the image means as a threshold for several times to segment objects in the gradient image. After that successive over-relaxation was used to incorporate the disperse regions and the nearby isolated points would connect to the big block. The lowest value of valley (nonzero value) was searched and this value was used as the threshold to make binary image. So the connected clutters could be removed only by counting the number of pixels in the connected regions. Eventually the pipeline target detection algorithm was used to process the sequential images to detect the real small target automatically.

关键词： automatic detection small target IR image gradient successive over-relaxation

来源：评论

学校读者我要写书评

暂无评论

Road extraction from remote sensing image using support vector machine

Road extraction from remote sensing image using support vect...

引用

3rd international symposium on multispectral image processing and pattern recognition

作者： Mei, TC Li, FP Qin, QQ Li, DR Wuhan Univ Sch Elect Informat Wuhan 430079 Peoples R China

ISBN: (纸本)0819451819

In this paper, we propose a technique that combined template matching and support vector machine for road identification from high-resolution aerial image. It is a model-driven approach that combines both the local and global criteria about the radiometry and geometry of linear structures interested. In this approach, the road center point is extracted by utilizing the general road model. Then the road center point is used as initial point for the template matching through which the road segment is obtained. The road characteristic is learned through the support vector machine that is based on the statistical learning theory. The support vector machine is a powerful learning method that it can get high classification accuracy without too much training sample. These properties can be applied for extracting the road characteristics from few road samples. The support vector machine is used to extract the true road segment and remove the false road segment. The proposed approach has been experimented on high-resolution aerial image and its performance is satisfied.

关键词： template matching feature extraction road extraction support vector machine

来源：评论

学校读者我要写书评

暂无评论

Automatic flat field algorithm for hyperspectral image calibration

Automatic flat field algorithm for hyperspectral image calib...

引用

3rd international symposium on multispectral image processing and pattern recognition

作者： Zhang, X Zhang, B Geng, XR Tong, QX Zheng, LF Acad Sinica Inst Remote Sensing Applicat Lab Remote Sensing Informat Beijing 100101 Peoples R China

ISBN: (纸本)0819451819

image spectra calibration is of great importance for further processing, and feature extraction. In this paper, an automated flat field reflectance calibration algorithm (AFFT) is proposed. This algorithm is an improvement to the traditional flat field transformation calibration. It is based on the fact that the so-called flat field is a flat block of high brightness and relative flat spectral response, and at a certain wavelength range (e.g. 500-700nm) the brightness or radiance of the flat field is a certain Multiple of the average spectrum of the image. Because the average image spectrum usually is relatively flat, so a certain multiple of the average spectrum can be regarded as the criterion (or threshold) to select flat field pixels. So such parameters as wavelength range, multiple increment between flat field and the average image spectrum and number of the largest area block are set to determine the useful flat field so that an average spectrum of the flat field is obtained. By using this flat field spectrum as solar/atmospheric response, hyperspectral image can be calibrated to reflectance image. In the end, AFFT was validated by one PHI image acquired in Japan, 2000. It turns out that AFFT is effective to search all the flat fields which meet the fixed terms automatically and promptly, the spectra transformed by this method are much smoother and reliable to some extent.

关键词： hyperspectral image automatic flat field average image spectrum reflectance image

来源：评论

学校读者我要写书评

暂无评论

Proceedings of SPIE - The international Society for Optical Engineering: Introduction

Proceedings of SPIE - The International Society for Optical ...

引用

third international symposium on multispectral image processing and pattern recognition

作者： Lu, Hanqing Zhang, Tianxu

来源：评论

学校读者我要写书评

暂无评论

An endoscopic image retrieval system based on color clustering method

An endoscopic image retrieval system based on color clusteri...

引用

third international symposium on multispectral image processing and pattern recognition

作者： Xia, Shunren Mo, Weirong Yan, Yong Chen, Xichao Department of Biomedical Engineering Zhejiang University 310027 Hangzhou China Department of Biomedical Engineering Yuquan Campus Zhejiang University Hangzhou 310027 China

An endoscopic image retrieval system based on color clustering method has been presented in this paper. To reduce the color sensitivity to noise and the color histogram dimension and to enhance the accuracy and speed of retrieval, HSV color space is employed in this system and each Hue, Saturation and Value (Intensity) component have been quantified into 6, 8, 4 levels, respectively, because endoscopic images generally contain only a few of dominant colors, such as red, yellow or purple and HSV color space is most approximate to human perception, so the whole HSV space is divided into 192 (6×8×4) subspaces and each subspace is clustered as an index. So a color histogram with 256-dimension is used as indexing and the histogram similarity measure is also given at the same time. The algorithm has been successfully adopted by our endoscopic image retrieval system and the experiment with a database about 1000 clinical endoscopic images has demonstrated its effectiveness and rationality.

关键词： Color image processing

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 << < 93 94 95 96 97 98 99 100 101 102 > >>

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：