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

1,425 篇 会议
163 篇 期刊文献

馆藏范围

1,588 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

390 篇 工学
- 184 篇 电气工程
- 116 篇 计算机科学与技术...
- 84 篇 测绘科学与技术
- 78 篇 控制科学与工程
- 60 篇 信息与通信工程
- 51 篇 仪器科学与技术
- 30 篇 软件工程
- 29 篇 电子科学与技术（可...
- 25 篇 机械工程
- 21 篇 环境科学与工程（可...
- 9 篇 航空宇航科学与技...
- 6 篇 生物医学工程（可授...
- 5 篇 交通运输工程
- 4 篇 光学工程
- 3 篇 土木工程
- 3 篇 网络空间安全
- 2 篇 水利工程
105 篇 理学
- 52 篇 地球物理学
- 17 篇 地理学
- 16 篇 系统科学
- 9 篇 物理学
- 7 篇 数学
- 2 篇 大气科学
- 2 篇 生物学
72 篇 医学
- 68 篇 临床医学
- 4 篇 基础医学(可授医学...
32 篇 管理学
- 31 篇 管理科学与工程(可...
22 篇 农学
- 22 篇 农业资源与环境
7 篇 文学
- 7 篇 新闻传播学
3 篇 艺术学
- 3 篇 设计学（可授艺术学...
2 篇 军事学
1 篇 教育学

主题

1,588 篇 change detection...
203 篇 detection algori...
189 篇 algorithm design...
167 篇 layout
146 篇 remote sensing
144 篇 testing
143 篇 object detection
138 篇 image segmentati...
133 篇 robustness
130 篇 feature extracti...
120 篇 detectors
116 篇 data mining
106 篇 image edge detec...
103 篇 cameras
101 篇 pixel
100 篇 clustering algor...
98 篇 computer science
96 篇 signal processin...
84 篇 video sequences
81 篇 motion detection

机构

7 篇 department of bi...
6 篇 national laborat...
5 篇 department of ge...
5 篇 school of electr...
4 篇 school of electr...
4 篇 school of electr...
4 篇 institute of inf...
4 篇 army research la...
4 篇 department of el...
4 篇 image communicat...
4 篇 department of el...
3 篇 at and t researc...
3 篇 swiss federal in...
3 篇 queensland unive...
3 篇 wuhan univ sch e...
3 篇 department of el...
3 篇 department of in...
3 篇 department of el...
3 篇 univ chinese aca...
3 篇 univ ulsan sch e...

作者

7 篇 wei li
7 篇 w.a.c. fernando
7 篇 venugopal v. vee...
6 篇 hanqing lu
6 篇 taposh banerjee
6 篇 d.r. bull
6 篇 licheng jiao
6 篇 j.m. jenkins
6 篇 shao-yi chien
5 篇 l. bruzzone
5 篇 c.n. canagarajah
5 篇 liang-gee chen
5 篇 banerjee taposh
4 篇 huming zhu
4 篇 yu-wen huang
4 篇 l.a. dicarlo
4 篇 jong-nam kim
4 篇 i.v. nikiforov
4 篇 liangpei zhang
4 篇 won-hee kim

语言

1,571 篇 英文
12 篇 其他
5 篇 中文

检索条件"主题词=Change detection algorithms"

共 1588 条记录，以下是281-290 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：

Temporal Network change detection Using Network Centralities

Temporal Network Change Detection Using Network Centralities

引用

International Conference on Data Science and Advanced Analytics (DSAA)

作者： Yoshitaro Yonamoto Kai Morino Kenji Yamanishi Graduate School of Information Science & Technology The University of Tokyo Tokyo Japan

ISBN: (纸本)9781509052073

In this paper, we propose a novel change detection method for temporal networks. In usual change detection algorithms, change scores are generated from an observed time series. When this change score reaches a threshold, an alert is raised to declare the change. Our method aggregates these change scores and alerts based on network centralities. Many types of changes in a network can be discovered from changes to the network structure. Thus, nodes and links should be monitored in order to recognize changes. However, it is difficult to focus on the appropriate nodes and links when there is little information regarding the dataset. Network centrality such as PageRank measures the importance of nodes in a network based on certain criteria. Therefore, it is natural to apply network centralities in order to improve the accuracy of change detection methods. Our analysis reveals how and when network centrality works well in terms of change detection. Based on this understanding, we propose an aggregating algorithm that emphasizes the appropriate network centralities. Our evaluation of the proposed aggregation algorithm showed highly accurate predictions for an artificial dataset and two real datasets. Our method contributes to extending the field of change detection in temporal networks by utilizing network centralities.

关键词： Time series analysis Games Knowledge engineering Eigenvalues and eigenfunctions Aggregates change detection algorithms Prediction algorithms

来源：评论

学校读者我要写书评

暂无评论

A novel high resolution remote sensing image change detection algorithm based on image fusion and fuzzy clustering models

A novel high resolution remote sensing image change detectio...

引用

International Conference on Inventive Computation Technologies (ICICT)

作者： Mengyuan Liu Yujiang Liu Shandong University SDU Jinan China Beijing University of Posts and Telecommunication BUPT Beijing China

ISBN: (纸本)9781509012862

In this paper, we propose a novel high resolution remote sensing image change detection algorithm based on image fusion and fuzzy clustering models. The original images are fused based on the Wavelet to get the comprehensive differencing map which reserves enough variation characteristics as well as reducing the noise. The idea of modifying traditional clustering algorithms will enhance the final result of the change map. This method is able to achieve the higher detection accuracy based on the revised fuzzy clustering algorithm and could obtain better differencing map with integration of image fusion. Experiments on real images point out the effectiveness and feasibility of the proposed methodology compared with other state-of-the-art ones visually and numerically.

关键词： Remote sensing Image fusion Spatial resolution change detection algorithms Algorithm design and analysis Clustering algorithms

来源：评论

学校读者我要写书评

暂无评论

Parallel implementation of the FLICM algorithm for SAR image change detection on intel MIC

Parallel implementation of the FLICM algorithm for SAR image...

引用

IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Huming Zhu Le Lu Yucong Fan Pei Li Qingyu Zhang Licheng Jiao Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education Xidian University Xi'an Shaanxi Province China

ISBN: (纸本)9781509033331

Image change detection has a wide range of applications in various fields, such as damage assessment, environmental monitoring and agricultural surveys. As the number of remote sensing images and the complexity of algorithm rise, the demand for processing power is increasing. In this paper, we present a parallel FLICM algorithm for SAR image change detection on Intel MIC (Many Integrated Core) which is the new type of many-core coprocessor. The proposed algorithm is implemented based on MIC-Offload mode using OpenMP (Open Multi-Processing). The parallel characteristics and implementation details of the proposed parallel FLICM algorithm are presented. Experiment results demonstrate that the optimized parallel algorithm can greatly reduce the computational time of the change detection algorithm. The speedup is up to 20× compared with the runtime of serial algorithm on CPU.

关键词： Microwave integrated circuits Synthetic aperture radar change detection algorithms Clustering algorithms Runtime Instruction sets Remote sensing

来源：评论

学校读者我要写书评

暂无评论

Automatic change detection based on conditional random field in high resolution remote sensing images

Automatic change detection based on conditional random field...

引用

IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Guo Cao Xuesong Li Yanfeng Shang The School of Computer Science and Technology Nanjing University of Science and Technology Nanjing China The third research institute of ministry of public security Shanghai China

An automatic change detection method based on conditional random field (CRF) is presented for high resolution remote sensing images in this paper. Marginalized denoising autoencoder is used to generate the difference image. The clustering results of Fuzzy C-means are applied to initialize the unary potentials of CRF. A scaled squared Euclidean distance between neighboring pixels in the observed images is introduced to define the pairwise potentials of CRF, which avoid training parameters and help improve the accuracy and the degree of automation. The experimental results obtained on different remote sensing images demonstrated the accuracy and efficiency of our proposed method.

关键词： Remote sensing change detection algorithms Training Classification algorithms Labeling Image resolution Kernel

来源：评论

学校读者我要写书评

暂无评论

Unsupervised change detection using Spatial Transformer Networks

Unsupervised change detection using Spatial Transformer Netw...

引用

Western New York Image Processing Workshop (WNYIPW)

作者： Dan Chianucci Andreas Savakis Department of Computer Engineering Rochester Institute of Technology Rochester New York

ISBN: (纸本)9781509057672

change detection in images or video sequences is used to detect anomalies or important variations in the scene. Although much research has focused on change detection in surveillance videos, there is little work related to change detection on aerial or satellite imagery. This paper presents a deep learning approach for change detection in satellite images. The proposed approach utilizes Spatial Transformer Networks (STNs) which learn to perform a coordinate transformation to localize potential change regions. With unsupervised training the STN system examines differences between images for significant change activity. Our initial results illustrate the merit of this method.

关键词： Training change detection algorithms Neural networks Machine learning Filtering algorithms Prediction algorithms Satellites

来源：评论

学校读者我要写书评

暂无评论

Data driven quickest change detection: An algorithmic complexity approach

Data driven quickest change detection: An algorithmic comple...

引用

IEEE International Symposium on Information Theory

作者： Husheng Li Department of Electrical Engineering and Computer Science University of Tennessee Knoxville TN

Traditional quickest change detection, which detects distribution changes in random processes, requires full or partial knowledge of pre-change or post-change distributions of samples. In practice, it is possible that the prior information is unavailable, which prohibits the direct application of existing algorithms such as the cumulative sum (CUSUM) algorithm. In this paper, data driven quickest detection is studied, with only the assumption of stationary ergodic (not necessary i.i.d. or Markovian) processes. To fully exploit existing algorithms within the probabilistic framework, the theory of algorithmic complexity (a.k.a. Kolmogorov complexity) is applied to bridge the observed samples and unknown probability distributions. In particular, data compression algorithms such as Lempel-Ziv algorithm are used to measure the unconditional and conditional algorithm complexities. Numerical simulations are carried out to demonstrate the validity of the proposed algorithms.

关键词： change detection algorithms Complexity theory Source coding Measurement Turing machines Approximation algorithms

来源：评论

学校读者我要写书评

暂无评论

Forest cover change detection method using bi-temporal GF-1 multi-spectral data

Forest cover change detection method using bi-temporal GF-1 ...

引用

IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Rongxin Hao Erxue Chen Zengyuan Li Institute of Forest Resources Information Technique Chinese Academy of Forestry College of Geomatics Xi'an University of Science and Technology

ISBN: (纸本)9781509033331

Forest cover will be changed by natural disaster, deforest and other activities. Remote sensing has the ability to monitor the change of forest cover in large area. However, in order to obtain the change information of forest cover, the method for getting the change information from remote sensing images is needed. China has launched GF-1 satellite in 2013, the 16m spatial resolution multi-spectral data of it should be suitable for forest cover detection applications. In this paper, I describe a set of procedures that automate forest cover change detection using a pair of GF-1 images. The proposed method was tailored to work with high spatial resolution images acquired over forest in large area. To achieve a high level of automation, automatic optimum threshold selection algorithm were applied in the processing steps. In this study, an overall change recognition accuracy of 83% has been achieved.

关键词： Remote sensing Satellites change detection algorithms Kernel Radiometry Feature extraction Signal to noise ratio

来源：评论

学校读者我要写书评

暂无评论

A change detection approach of high-resolution imagery combined the pre-classification with the post-classification comparison

A change detection approach of high-resolution imagery combi...

引用

International Conference on Agro-Geoinformatics

作者： Ying Jiang Xiongfei Wen Daxiang Xiang Debao Tan Zhe Li Sui Zhang Youchuan Wan Spatial Information Technology Application Research Institute Changjiang River Scientific Research Institute Wuhan China School of Remote Sensing and Information Engineering Wuhan University Wuhan China

This paper presents a change detection approach for high-resolution remote sensing image combined the pre-classification with the post-classification comparison. Firstly, a spectrum correction image is constructed on the basis of fusing the differential and ratio algorithm, which can alleviate the effects of single band's sensitivity. Secondly, a binary change mask is extracted from the spectrum correction image by using Otsu. Then multiply it with the overlaying multi-temporal image to extract reliable change region. Finally, the transference process is realized by using an improved Fuzzy C-Means algorithm. Additionally, considering that Fuzzy C-Means cannot determine the cluster center and cluster number automatically, and also be sensitive to the noise, the article utilizes membership entropy to determine the optimal cluster number, and adopts the max-minimum distance to initialize the cluster center, which can avoid trapping in local optimum caused by selecting cluster center randomly, and also introduces the similarity-weight of the neighbor pixels to correct the membership function. Experiments show that the combination of pre-classification with post-classification comparison can realize the whole change process and also alleviate error propagation effects of multi-classification, which makes the change detection results closer to the real situation. Additionally, the improved Fuzzy C-Means has a better performance in determining the cluster number and center as well as reducing the noise interference.

关键词： Entropy Clustering algorithms Remote sensing Data mining Mutual information change detection algorithms Sensitivity

来源：评论

学校读者我要写书评

暂无评论

Design of SAR image feature detector for small-scaled coherent change detection

Design of SAR image feature detector for small-scaled cohere...

引用

IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Kee Woong Lee Hyun-Chul Kim Bumseung Kim Woo-Kyung Lee School of Electronics and Telecomm. Eng. Korea Aerospace University Goyang South Korea

Recently multi-band, high-resolution SAR images acquired from spaceborne payloads are produced on daily basis and easily available world-widely. Although the change detection techniques for SAR images have been long studied, demands for developing small-scaled change detection method algorithm are growing with the rise of SAR image features. Among others, the small-scaled change detection method is a topic of high interest in military applications for establishing future national security systems. SAR images are distinguished from optical images due to the complex nature of the inherent phase information in conjunction with amplitude parameters. The performance of detection of changes through SAR imaging are highly dependent upon both ACD(Amplitude change detection) and CCD(Coherence change detection). The ACD method, based on measurement of amplitude, is the most common approach. It simplifies the technical mechanism of imaging as it is sensitive to changes caused by artificial objects and buildings on land. The CCD method, using the information on phase, measures the extent of similarities of multi-temporal images or their coherences. In this paper, CCD algorithms are adopted to detect local changes in dense urban areas acquired from spaceborne SAR payloads. It will be further perceived to construct efficient monitoring systems on strategic target areas.

关键词： Synthetic aperture radar Coherence Charge coupled devices change detection algorithms Optical sensors Detectors Adaptive optics

来源：评论

学校读者我要写书评

暂无评论

Online change detection of linear regression models

Online change detection of linear regression models

引用

International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Jun Geng Bingwen Zhang Lauren M. Huie Lifeng Lai School of Elec. and Info. Engr. Harbin Iust. of Tech Harbin China Dept. of Elec. and Comp. Engr. Worcester Poly. Inst. Worcester MA Air Force Research Laboratory Rome NY

ISBN: (纸本)9781479999897

In this paper, we consider the problem of quickly detecting an abrupt change of linear coefficients in linear regression models. In particular, the observer sequentially observes a sequence of observations {(xn, yn)}∞n=1, which is assumed to obey a linear regression model at each time slot n. Some of the coefficients in the linear model change at a fixed but unknown time t. The post-change linear coefficients are unknown to the observer. The observer aims to design an online algorithm to detect the model change based on his sequential observations. Two performance metrics, namely the worst case detection delay (WADD) and the average run length to false alarm (ARL2FA), are adopted to evaluate the performance of detection algorithms. We design a low complexity algorithm, termed as parallel sum algorithm, for the detection purpose. An asymptotic upper bound on WADD is provided under any given ARL2FA constraint.

关键词： Observers Biological system modeling Algorithm design and analysis change detection algorithms Linear regression Delays Complexity theory

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159页 << < 25 26 27 28 29 30 31 32 33 34 > >>

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：