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

662 篇 会议
23 册 图书
22 篇 期刊文献

馆藏范围

707 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

500 篇 工学
- 332 篇 计算机科学与技术...
- 161 篇 软件工程
- 96 篇 测绘科学与技术
- 93 篇 电气工程
- 88 篇 信息与通信工程
- 71 篇 光学工程
- 52 篇 控制科学与工程
- 28 篇 建筑学
- 28 篇 土木工程
- 27 篇 化学工程与技术
- 27 篇 航空宇航科学与技...
- 26 篇 机械工程
- 23 篇 仪器科学与技术
- 22 篇 生物工程
- 21 篇 电子科学与技术（可...
- 19 篇 生物医学工程（可授...
- 15 篇 环境科学与工程（可...
- 12 篇 交通运输工程
- 12 篇 农业工程
225 篇 理学
- 128 篇 物理学
- 83 篇 数学
- 26 篇 化学
- 26 篇 统计学（可授理学、...
- 24 篇 生物学
- 10 篇 地理学
- 10 篇 地球物理学
127 篇 医学
- 125 篇 临床医学
60 篇 管理学
- 43 篇 图书情报与档案管...
- 20 篇 管理科学与工程(可...
15 篇 农学
- 13 篇 作物学
6 篇 军事学
6 篇 艺术学
3 篇 经济学
2 篇 法学
1 篇 教育学
1 篇 文学

主题

194 篇 remote sensing
105 篇 pattern recognit...
78 篇 image processing
37 篇 image segmentati...
31 篇 feature extracti...
25 篇 artificial intel...
25 篇 satellites
19 篇 object detection
19 篇 machine learning
18 篇 training
17 篇 image fusion
17 篇 data mining
17 篇 image analysis
16 篇 image classifica...
16 篇 computer vision
16 篇 image resolution
14 篇 image edge detec...
14 篇 robustness
13 篇 deep learning
13 篇 remote sensing i...

机构

6 篇 tsinghua univers...
6 篇 image processing...
5 篇 university of te...
5 篇 indian institute...
5 篇 dalian universit...
5 篇 university of sy...
5 篇 institute of aut...
5 篇 institute of aut...
5 篇 shenzhen univers...
5 篇 college of infor...
4 篇 institute of ima...
4 篇 sun yat-sen univ...
4 篇 hong kong baptis...
4 篇 southern univers...
3 篇 univ arizona col...
3 篇 mks imaging tech...
3 篇 university of el...
3 篇 peking univ inst...
3 篇 indian institute...
3 篇 national laborat...

作者

8 篇 anon
8 篇 chunhong pan
7 篇 ping guo
5 篇 zhaoxiang zhang
5 篇 hui huang
5 篇 balasubramanian ...
5 篇 jing dong
5 篇 tieniu tan
5 篇 jiwen lu
5 篇 risheng liu
5 篇 wanli ouyang
5 篇 min xu
5 篇 huchuan lu
4 篇 qian yin
4 篇 junwei han
4 篇 jianhuang lai
4 篇 pan chunhong
4 篇 zhang jie
4 篇 yike guo
4 篇 jianguo zhang

语言

688 篇 英文
15 篇 其他
4 篇 中文

检索条件"任意字段=Conference on Image Processing and Pattern Recognition in Remote Sensing II"

共 707 条记录，以下是521-530 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：

The clustering of high resolution remote sensing imagery

The clustering of high resolution remote sensing imagery

引用

conference on image processing and pattern recognition in remote sensing

作者： Deng, XJ Wang, YP Yun, RS Peng, HL Chinese Acad Sci Inst Elect Beijing 100080 Peoples R China

ISBN: (纸本)081944684X

The development of the remotely sensed techniques enlarges the applications of the remote sensing imagery. The clustering of high resolution imagery is difficult, due to the fact that the minor objects, such as roads, make the appearance of the same category region non-uniform. This paper proposes a new approach to cluster high resolution remote sensing imagery. The new clustering approach includes three steps as the following: Firstly, eliminate the minor components in the moving windows. Secondly, compute the image features, such as the energy, some high order cumulants and central moments of pixels' values in moving windows. Lastly, apply the BPC neural network, which is combined by a Back-Propagation (BP) neural network and a Competive neural network, to cluster images according to the image features. Two methods, minimum distance method and the K -means method, are compared with the new clustering approach, proposed by this paper, by using SPOT images for clustering residential areas and agricultural areas in the suburbs of Beijing. The experimental results show that the new clustering approach has the higher clustering accuracy.

关键词： high resolution remote sensing imagery cumulant eliminating the minor objects BPC neural network image clustering

来源：评论

学校读者我要写书评

暂无评论

remote sensing image fusion based on IHS transform, wavelet transform, and HPF

Remote sensing image fusion based on IHS transform, wavelet ...

引用

conference on image processing and pattern recognition in remote sensing

作者： Li, BC Wei, J Informat Engn Univ Dept Informat Sci Inst Informat Engn Zhengzhou 450002 Peoples R China

ISBN: (纸本)081944684X

remote-sensing image fusion is becoming widely used in object recognition because of complementary nature of images from different sensors. In the past few years, many fusion methods have been introduced, where intensity-hue-saturation transform (IHST)-based fusion method, wavelet transform (WT)-based fusion method and high pass filter (HPF)-based fusion method are commonly used. There are complementarities between the three fusion methods, so this paper presents a new fusion method based on WT, IHST and HPF, which overcomes the shortcomings of the three fusion methods and exploits their strong points. Our new method uses ATT-based fusion method to preserve the spectral information of the original multispectral image, and IHST-based fusion method to improve spatial presentation of the fused image, and HPF-based method to merge the low-frequency part of the panchromatic image with that of the I channel data of the multispectral image in WT domain to enhance spatial information and avoid block effect in WT-based fusion method. Experiment results show that our new method is efficient. It not only preserves the spectral information of the original multispectral image very well, but also enhances spatial presentation of the fused image largely.

关键词： IHS transform wavelet transform high pass filter remote-sensing image fusion

来源：评论

学校读者我要写书评

暂无评论

Scan patterns for association rule mining of image data

Scan patterns for association rule mining of image data

引用

conference on image processing and pattern recognition in remote sensing

作者： Zequn, G Wuhan Univ Inst Remote Sensing & Informat Engn Wuhan 430079 Peoples R China

ISBN: (纸本)081944684X

The central idea of this paper is that image data mining could be performed directly on the 2D image representation, by applying some scan techniques on the 2D image, which are different than the raster scan. In this paper, we present the comparison of spatial data sets using bit sequential format on a unique vector form which converts between one quadrant tree and some sub- quadrant trees. Then, we describe how the bit-vector might be used to generate the associations among scan patterns in which when some object attributes are extracted in a data process, the others are extracted, too.

关键词： scan patterns vector form bit-vector association rule mining

来源：评论

学校读者我要写书评

暂无评论

Managing and distributing remote sensing images based on metadata and microimage

Managing and distributing remote sensing images based on met...

引用

conference on image processing and pattern recognition in remote sensing

作者： Su, LH Deng, XL Wang, JD Li, XW Beijing Normal Univ Res Ctr Remote Sensing & Geog Informat Syst Beijing 100875 Peoples R China

ISBN: (纸本)081944684X

remote sensing images acquired by the sensors at platforms near land surface, airplane and satellite, usually have large volume and miscellaneous data formats. So it is not feasible for the users to browse remote sensing images and evaluate the quality of images and select the suitable images on Internet. Moreover, it is inefficient to read and transfer remote sensing images real-timely in a standard image viewer due to their miscellaneous data formats. In order to clear up the problems, the metadata and microimage are extracted from various remote sensing images, managed by the database management system software, and browsed and evaluated on Internet to decide which images are the real wanted. The process of working includes the 4 steps. 1) Create metadata for the remote sensing images. The metadata consist of image data format, longitude and latitude of image range, date and, time, spatial resolution, sensor attributes (field of view, bands, performance and precision etc), platform attributes (stand near land surface, airplane or satellite), flight path or orbit attributes of aerial and space observation etc. 2) Create microimage for remote sensing image. Firstly, the remote sensing images are projected to the same coordinate system by the geometric correction, so all images can be matched correctly. Then the microimages are built through 1: 10 or 1:5 cubic convolution sampling the corrected images. 3). Build a database to store and manage the metadata and microimages, and create pointers to hyperlink the remote sensing images self. 4) Develop the browse interface, publish the remote sensing image base on Internet, and receive the users' order forms. The wanted images will be sent on CDROM if the orders are accepted. The interface is visualized. Here, a color spectrum is used to express the bands. A clock is for time and landscape is for days in one year. And place is located by moving your mouse on the map. The pixel sizes are shown through levels on a pyramid.

关键词： image base visualization metadata microimage remote sensing

来源：评论

学校读者我要写书评

暂无评论

Land use/land cover change detection based on canonical transformation

Land use/land cover change detection based on canonical tran...

引用

conference on image processing and pattern recognition in remote sensing

作者： Zhang, L Liao, MS Sheng, H Wuhan Univ Natl Lab Informat Engn Surveying Mapping & Remote Wuhan 430079 Hubei Peoples R China

ISBN: (纸本)081944684X

Change detection is a key topic in land use/land cover related studies and significant efforts have been made in the development of methods for change detection. In this article a multivariate analysis method based on canonical transformation is introduced into change detection using multi-temporal remote sensing imageries. Afterwards an automatic unsupervised discriminating technique based on the Bayes-Rule of Minimum Error is employed for changed areas identification in the difference image. Experimental results of a case study using Landsat TM imageries are presented to demonstrate the effectiveness of our method.

关键词： land use/land cover change detection canonical transformation multivariate alteration detection Bayes Rule of Minimum Error Expectation Maximization algorithm

来源：评论

学校读者我要写书评

暂无评论

SAR image segmentation using skeleton-based fuzzy clustering

SAR image segmentation using skeleton-based fuzzy clustering

引用

conference on image processing and pattern recognition in remote sensing

作者： Cao, YY Chen, YQ Fudan Univ Dept Comp Sci & Engn Wave Scattering & Remote Sensing Ctr Shanghai 200433 Peoples R China

ISBN: (纸本)081944684X

SAR image segmentation can be converted to a clustering problem in which pixels or small patches are grouped together based on local feature information. In this paper, we present a novel framework for segmentation. The segmentation goal is achieved by unsupervised clustering upon characteristic descriptors extracted from local patches. The mixture model of characteristic descriptor, which combines intensity and texture feature, is investigated. The unsupervised algorithm is derived from the recently proposed Skeleton-Based Data Labeling method. Skeletons are constructed as prototypes of clusters to represent arbitrary latent structures in image data. Segmentation using Skeleton-Based Fuzzy Clustering is able to detect the types of surfaces appeared in SAR images automatically without any user input.

关键词： segmentation SAR image fuzzy clustering skeleton-based feature extraction

来源：评论

学校读者我要写书评

暂无评论

Line extraction in multi-spectral images

Line extraction in multi-spectral images

引用

conference on image processing and pattern recognition in remote sensing

作者： She, EY Wang, RS Natl Univ Def Technol ATR Natl Lab Changsha 410073 Peoples R China

ISBN: (纸本)081944684X

In this paper, we propose a novel and automated line extraction algorithm in multi-spectral images, which fully utilize the complementary information among multi-spectral images. It consists of three main aspects: Firstly, edges are extracted from every spectral image. Then, the edge points from all spectral images are grouped into combined line-support regions according to certain fusion rules. Finally, fits the regions and generates the fused lines. The new algorithm is applied to some real multi-spectral images. The experimental results show that the new algorithm is effective.

关键词： multi-spectral images line extraction image fusion

来源：评论

学校读者我要写书评

暂无评论

A Multi-resolution hierarchical image fusion scheme and its performance evaluation

A Multi-resolution hierarchical image fusion scheme and its ...

引用

conference on image processing and pattern recognition in remote sensing

作者： Liu, GX Yang, WH Xidian Univ Dept Automat Xian 710071 Peoples R China

ISBN: (纸本)081944684X

In this paper, a novel hierarchical image fusion scheme based on wavelet multi-scale decomposition is presented. The basic idea is to perform a wavelet multi-scale decomposition of each source image first, then the wavelet coefficients of the fused image is constructed using region-based selection and weighted operators according to different fusion rules, finally the fused image is obtained by taking inverse wavelet transform. Ibis approach has been successfully used in image fusion. In addition, with the use of the parameters such as entropy, cross entropy, mutual information, root mean square error, peak-to-peak signal-to-noise ratio, the performance of the fusion scheme is evaluated and analyzed. The experimental results show that the fusion scheme is effectual.

关键词： image fusion multi-sensor fusion wavelet decomposition image processing

来源：评论

学校读者我要写书评

暂无评论

Proceedings of SPIE: Third International Symposium on Multispectral image processing and pattern recognition: Part One

Proceedings of SPIE: Third International Symposium on Multis...

引用

Third International Symposium on Multispectral image processing and pattern recognition

The proceedings contains 108 papers from the conference on SPIE: Third International Symposium on Multispectral image processing and pattern recognition: Part One. The topics discussed include: theory analysis and experimental study on the amount of information in a color night vision system;restoration of color in a remote sensing image and its quality evaluation;use of discrete chromatic space to tune the image tone in a color image mosaic;an analytical solution to camera motion using the essential matrix;a new technique creates realistic 3D free-form surfaces photographs and paintings and applications of matching Fourier transform to radar refined imaging.

关键词： remote sensing

来源：评论

学校读者我要写书评

暂无评论

A new theory and method for non-model,ore-deposit prediction: Phase-separation analysis of remote sensing information field of metallogenetic environment

A new theory and method for non-model,ore-deposit prediction...

引用

conference on image processing and pattern recognition in remote sensing

作者： Yang, WN Wang, YL Zhu, ZS Paris, JP Chengdu Univ Technol Inst RS & GIS MLR Key Lab Informat Technol & Applicat Land & Res Chengdu 610059 Peoples R China

ISBN: (纸本)081944684X

In this paper, the authors proposed a new theory and method, the phase-separation analysis of remote sensing information field of metallogenetic environment for non-model ore deposit prediction. The theory of nonmodel ore deposit prediction suggests that the forming of ore deposit result from multiple changes of many geological factors;and in a particularly geological environment, the places where tectonic movement of multi-times piled up together probably produce large or giant type deposits;and the existence of great mineralized body maybe lead to some remarkable differences in composition, in structure, in geophysical field and,in geochemical field from the surrounding geological background, even lead to anomalies of biosphere and atmosphere of the earth. Therefore, on the basis of geology and other data, combining RS with GIS, and through decomposing multivariate information fields, feature extracting and seeking anomaly, it is feasible to establish the natural models of ore source bodies to predict related ore deposits correctly.

关键词： remote sensing technique mathematical geology nonmodel ore deposit prediction phase-separation analysis of remote sensing information field metallogenetic environment

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71页 << < 49 50 51 52 53 54 55 56 57 58 > >>

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：