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

120 篇 会议
64 篇 期刊文献

馆藏范围

184 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

129 篇 工学
- 70 篇 计算机科学与技术...
- 60 篇 软件工程
- 53 篇 信息与通信工程
- 19 篇 机械工程
- 19 篇 电子科学与技术（可...
- 16 篇 光学工程
- 15 篇 电气工程
- 15 篇 控制科学与工程
- 9 篇 生物工程
- 8 篇 仪器科学与技术
- 6 篇 化学工程与技术
- 6 篇 生物医学工程（可授...
- 4 篇 材料科学与工程（可...
- 3 篇 力学（可授工学、理...
- 3 篇 测绘科学与技术
- 3 篇 航空宇航科学与技...
- 3 篇 环境科学与工程（可...
79 篇 理学
- 52 篇 数学
- 17 篇 物理学
- 16 篇 生物学
- 15 篇 统计学（可授理学、...
- 7 篇 系统科学
- 6 篇 化学
37 篇 管理学
- 22 篇 图书情报与档案管...
- 17 篇 管理科学与工程(可...
- 8 篇 工商管理
11 篇 医学
- 11 篇 基础医学(可授医学...
- 4 篇 药学(可授医学、理...
5 篇 法学
- 5 篇 社会学
4 篇 农学
- 3 篇 农业资源与环境
2 篇 经济学
2 篇 教育学
2 篇 文学
2 篇 军事学

主题

12 篇 synthetic apertu...
10 篇 evolutionary com...
9 篇 multiobjective o...
8 篇 image segmentati...
8 篇 clustering algor...
7 篇 artificial immun...
7 篇 algorithm design...
7 篇 immune system
6 篇 support vector m...
6 篇 laboratories
6 篇 feature extracti...
5 篇 training
5 篇 principal compon...
4 篇 computational co...
4 篇 clonal selection
4 篇 image coding
4 篇 evolutionary alg...
4 篇 cloning
4 篇 image compressio...
4 篇 information proc...

机构

48 篇 key laboratory o...
24 篇 shenyang institu...
23 篇 university of ch...
13 篇 institutes for r...
12 篇 institute of int...
11 篇 key laboratory o...
9 篇 key laboratory o...
8 篇 key laboratory o...
8 篇 key laboratory o...
8 篇 key laboratory o...
7 篇 key lab. of inte...
7 篇 key lab of image...
6 篇 the key lab of i...
6 篇 school of comput...
5 篇 key laboratory o...
4 篇 shenyang institu...
4 篇 key laboratory o...
4 篇 key laboratory o...
4 篇 key laboratory o...
4 篇 key laboratory o...

作者

51 篇 jiao licheng
31 篇 licheng jiao
19 篇 jiao li-cheng
9 篇 liu fang
9 篇 maoguo gong
6 篇 luo haibo
6 篇 yang shuyuan
6 篇 haibo luo
5 篇 jiao l.c.
5 篇 zhou weida
5 篇 zhang xiangrong
5 篇 wang shuang
5 篇 jiaji wu
5 篇 liu ruochen
5 篇 yangyang li
4 篇 ruochen liu
4 篇 zhang xiaohua
4 篇 jingjing ma
4 篇 l. c. jiao
4 篇 gao guangwei

语言

161 篇 英文
23 篇 中文

检索条件"机构=Institute of Image Processing and Understanding"

共 184 条记录，以下是51-60 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：

Static human behavior classification based on LLC features and GIST features 7

Static human behavior classification based on LLC features a...

引用

7th IEEE Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, CYBER 2017

作者： Ende, Wang Xukui, Hou Xuepeng, Li Shenyang Institute of Automation Chinese Academic of Sciences Key Lab of Image Understanding and Computer Vision Key Laboratory of Optical Electrical Image Processing Shenhe District Shenyang Liaoning China

ISBN: (纸本)9781538604892

This paper presents a method for recognizing human behavior in static images based on LLC and GIST features. The feature points in the image is densely located in sub-region of images and we extract SIFT feature from each sub-region. Then using the LLC method to encode the extracted dense SIFT features of each sub-region and each feature point descriptor is assigned to several nearest words, so that each descriptor can be expressed by the linear correlation coefficient of vocabulary. In order to increase the spatial information, we use the SPM model to divide the image into many blocks under different levels. We can get the pooled feature from each sub-region using the max pooling method. Then these pooled features from sub-region are concatenated and normalized as the final pooled features. In order to get GIST features, we divide the image into blocks and construct the Gabor filter group of 32 different scales and directions. Then each Gabor filter in the Gabor filter group does convolution operation with image blocks and we take the mean value of each blocks under each Gabor filter as the feature description. The features from each block under each Gabor filter are concatenated and normalized as the final GIST feature representation of the image. Then concatenating the final pooled features and the GIST features and take as the final feature representation. Finally, the intersection kernel function of SVM is used for classification. We performed experiments on several databases. By contrast, this algorithm has a good effect in accuracy and efficiency. © 2017 IEEE.

关键词： Gabor filters

来源：评论

学校读者我要写书评

暂无评论

Change detection based on image segment and fusion in multitemporal SAR images

Change detection based on image segment and fusion in multit...

引用

2009 Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2009

作者： Wang, Guiting Gu, Zhenquan Jiao, Licheng Fan, Yuanzhang Key Lab. of Intelligent Perception and Image Understanding of Theminisfry of Education of China Institute of Intelligent Information Processing Xidian University Xi'an 710071 China

ISBN: (纸本)9781424427314

In this paper, a new change detection method based on image segmentation and fusion in multi-temporal SAR image is presented. The proposed fusion method exploits the conditional probability of difference image to two original images to fuse the segment results of two original SAR images. The new method can be divided into four steps: 1) the original SAR images are segmented into two classes using the proposed segmentation method based on canny edge match. 2) The two segmentation result images are fused with conditional probability rule and a fusion difference image considering spatial context is obtained. 3) The fusion image is thresholded with OTSU threshold, and the initial change detection result is obtained. 4) With subtraction operation and absolute operation between two segment results of original SAR images, a Boolean image with 0 and 1 value is obtained. Then the change detection result is composed of the regions in the Boolean image corresponding to the change regions in the initial change detection result. Experimental results obtained on simulate and real SAR images confirm the effectiveness of the proposed approach. ©2009 IEEE.

关键词： image fusion

来源：评论

学校读者我要写书评

暂无评论

Road extraction in remote sensing images based on nonsubsampled contourlet transform

Road extraction in remote sensing images based on nonsubsamp...

引用

2009 Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2009

作者： Zhong, Hua Feng, Yingtao Jiao, Licheng Key Lab. of Intelligent Perception and Image Understanding of the Ministry of Education of China Institute of Intelligent Information Processing Xidian University Xi'an 710071 China

ISBN: (纸本)9781424427314

A new method for automated road extraction in remote sensing images is proposed based on Nonsubsampled Contourlet Transform (NSCT). Due to the advantages of multi-scale, multi-direction and translation invariance, NSCT is much efficient for the capture of linear singularity of road target. A pixel-wised feature extraction algorithm is given first based on the analysis of the NSCT coefficient responses for the road target. Final results can be achieved by the simple fuzzy C-means clustering and the postprocessing steps. Experimental results demonstrate that our method outperforms other methods such as Gabor wavelet in accuracy, localization and false detection. ©2009 IEEE.

关键词： image enhancement

来源：评论

学校读者我要写书评

暂无评论

An automatic bridge detection technique for high resolution SAR images

An automatic bridge detection technique for high resolution ...

引用

2009 Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2009

作者： Wang, Guiting Huang, Shan Jiao, Licheng Key Lab. of Intelligent Perception and Image Understanding of Theministry of Education of China Institute of Intelligent Information Processing Xidian University Xi'an 710071 China

ISBN: (纸本)9781424427314

In this paper, an approach for detecting bridges over water bodies from high resolution SAR images is presented. It consists of two steps: water extraction and bridge detection. A method based on porosity combined with an edge mending algorithm utilizing canny edges is used to extract water bodies firstly. By considering the ubiety of bridges and water bodies, the candidate bridge regions are detected. Then the candidate bridge regions are confirmed on the basis of the geometric characteristics of bridges. Finally bridges are detected in confirmed bridge regions according to geometric characteristics of bridges and water extraction result. The proposed approach has been tested with SAR images that have a spatial resolution of 1 m. The experimental results show that our method can detect bridges effectively. ©2009 IEEE.

关键词： Porosity

来源：评论

学校读者我要写书评

暂无评论

A new change detection method based on non-parametric density estimation and Markov random fields

A new change detection method based on non-parametric densit...

引用

MIPPR 2009 - Medical Imaging, Parallel processing of images, and Optimization Techniques: 6th International Symposium on Multispectral image processing and Pattern Recognition

作者： Wang, Guiting Fan, Yuanzhang Jiao, Licheng Institute of Intelligent Information Processing Xidian University Xi'an 710071 China Key Laboratory of Intelligent Perception and Image Understanding Ministry of Education of China China

ISBN: (纸本)9780819478085

A new change detection approach based on non-parametric density estimation and Markov random fields is proposed in this paper. As the concrete form of gray statistical distribution of remote sensing images is often difficult to be known, the non-parameter density estimation method does not need the specific forms in advance, and is especially suitable for the estimation problem of small samples, so we adopt the non-parametric density estimation method to obtain the precise estimation of the probability density of statistical distribution of differencing image in the paper, and then perform multitemporal remote sensing image change detection combining with MRF(Markov random fields)model for spatial smoothing. The final experimental results show that the proposed method is effective. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Probability distributions

来源：评论

学校读者我要写书评

暂无评论

Bayesian nonlocal means filter for SAR image despeckling

Bayesian nonlocal means filter for SAR image despeckling

引用

2009 Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2009

作者： Zhong, Hua Li, Yongwei Jiao, Licheng Key Lab. of Intelligent Perception and Image Understanding of the Ministry of Education of China Institute of Intelligent Information Processing Xidian University Xi'an 710071 China

ISBN: (纸本)9781424427314

The nonlocal (NL) means filter as a recent denoising approach has demonstrated its empirical merit for additive Gaussian noise. In this paper, a novel Bayesian nonlocal (BNL) means filter is derived, which is adapted to the multiplicative speckle noise. The new filter is better parameterized using the Bayesian framework, in which a new statistical distance is introduced to measure the similarity of speckled patches. The proposed method is validated on real synthetic aperture radar (SAR) images through comparisons with other classical despeckling methods. ©2009 IEEE.

关键词： Synthetic aperture radar

来源：评论

学校读者我要写书评

暂无评论

Partial differential equation model method based on image feature for denoising

Partial differential equation model method based on image fe...

引用

International Workshop on Multi-Platform/Multi-Sensor Remote Sensing and Mapping

作者： Zhang, Xiaohua Wang, Ran Jiao, L.C. Key Lab. of Intelligent Perception and Image Understanding of the Ministry of Education of China Institute of Intelligent Information Processing Xidian University Xi'an 710071 China

ISBN: (纸本)9781424494040

For the special different nature images, we could hardly find particularly desirable approach, and there always exist Gibbs-type artifacts in the results of most methods. A novel Partial Differential Equation (PDE) model is proposed based on image feature for images denoising. The PDE model is adaptive within each region according to the details of the image feature to adjust the size of the diffusion coefficient. So it can be disposed the high gradient noise at the same time better to retain the edge information. We also analyze the performance of the PDE model method. Numerical results show that our algorithm competes favorably with state of the-art TV projection methods to eliminate noise and reduce Gibbs-type artifacts. ©2011 IEEE.

关键词： image denoising

来源：评论

学校读者我要写书评

暂无评论

Change detection in SAR image based on multisacle product and PCA

Change detection in SAR image based on multisacle product an...

引用

2009 Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2009

作者： Wang, Guiting Zhang, Fengyu Jiao, Licheng Key Lab. of Intelligent Perception and Image Understanding of the Ministry of Education of China Institute of Intelligent Information Processing Xidian University Xi'an 710071 China

ISBN: (纸本)9781424427314

In this paper, we present a new method of change detection in SAR images based on multiscale product of wavelet transform and PCA algorithm. This method applied multiscale product of wavelet transform, in order to avoid the affect of speckle noise in SAR, enhance the changed information and weaken the effect of noise. The algorithm of PCA is used to merge every scale after the process of multiscale product. To show the effectiveness of the proposed technique, experiments are conducted on two SAR datasets. Results are compared with two methods which based on wavelet transform and PCA, and it is proved to be superior. ©2009 IEEE.

关键词： Synthetic aperture radar

来源：评论

学校读者我要写书评

暂无评论

A contourlet-based interpolation restoration method for super-resolution of SAR image

A contourlet-based interpolation restoration method for supe...

引用

2009 Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2009

作者： Zhang, Xiaohua Cao, Kun Jiao, Licheng Key Lab. of Intelligent Perception and Image Understanding of the Ministry of Education of China Institute of Intelligent Information Processing Xidian University Xi'an 710071 China

ISBN: (纸本)9781424427314

As is well known that the quality of a digital image is affected by many factors, such as the distance between the acquisition system and the object, the acquisition environment conditions, and the resolution of the image sensors employed, and so on. So how to obtain high quality images has become a difficult task in practical applications. image super-resolution reconstruction (SRR) is a signal processing approach which can produces a high-resolution (HR) image from observed multiple low-resolution (LR) images. The purpose of this study is to evaluate the potential application of SR techniques to synthetic aperture radar (SAR). In this paper, a LR image is used to extract high frequency information and reconstruct a high resolution image by an interpolation- restoration method based on contourlet transform to solve the problem of SRR. Experimental results show that the method has the superior performance in subjective visual quality. ©2009 IEEE.

关键词： image reconstruction

来源：评论

学校读者我要写书评

暂无评论

Unsupervised image segmentation based on nonsubsampled contourlet hidden markov trees model

Unsupervised image segmentation based on nonsubsampled conto...

引用

2009 Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2009

作者： Xin, Fangfang Jiao, LiCheng Wan, Honglin Key Lab. of Intelligent Perception and Image Understanding of Ministry of Education of China Institute of Intelligent Information Processing Xidian University Xi'an 710071 China

ISBN: (纸本)9781424427314

Based on the shift invariance and multidirectional expansion properties of Nonsubsampled Contourlet Transform, a new image segmentation combining hidden Markov trees model with Bayesian approaches is proposed here. The training blocks can be got in pre-segmentation by using histogram approximation. To integrated use the information of different scales, we use the contextual model to segment raw segmentations and fuse them to get the final image. We compared our result with Wavelet domain HMTseg method and Contourlet domain HMTseg method, the result shows that our method has better performance in edges but lower missed classed probability. The simulation results of synthetic mosaic image, aerial image and SAR image are showed to prove the generalization of this method. ©2009 IEEE.

关键词： image segmentation

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19页 << < 2 3 4 5 6 7 8 9 10 11 > >>

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：