检索结果-内蒙古大学图书馆

Target detection and recognition in SAR imagery based on KFDA

Journal of Systems Engineering and Electronics 2015年第4期26卷 720-731页

作者： Fei Gao Jingyuan Mei Jinping Sun Jun Wang Erfu Yang Amir Hussain School of Electronic and Information Engineering Beihang University Space Mechatronic Systems Technology Laboratory Department of Design Manufacture and Engineering Management University of Strathclyde Cognitive Signal-Image and Control Processing Research Laboratory School of Natural SciencesUniversity of Stirling

Current research on target detection and recognition from synthetic aperture radar （SAR） images is usually carried out separately. It is difficult to verify the ability of a target recognition algorithm for adapting to changes in the environment. To realize the whole process of SAR automatic target recognition （ATR）, es- pecially for the detection and recognition of vehicles, an algorithm based on kernel fisher discdminant analysis （KFDA） is proposed. First, in order to make a better description of the difference be- tween the background and the target, KFDA is extended to the detection part. image samples are obtained with a dual-window approach and features of the inner and outer window samples are extracted by using KFDA. The difference between the features of inner and outer window samples is compared with a threshold to determine whether a vehicle exists. Second, for the target area, we propose an improved KFDA-IMED （image Euclidean distance） combined with a support vector machine （SVM） to recognize the vehicles. Experimental results validate the performance of our method. On the detection task, our proposed method obtains not only a high detection rate but also a low false alarm rate without using any prior information. For the recognition task, our method overcomes the SAR image aspect angle sensitivity, reduces the requirements for image preprocessing and improves the recogni- tion rate.

关键词： synthetic aperture radar （SAR） target detection ker-nel fisher discriminant analysis （KFDA） target recognition imageEuclidean distance （IMED） support vector machine （SVM）.

来源：评论

学校读者我要写书评

暂无评论

MB-CapsNet: An Efficient Fusion of MobileNetV3 and Matrix Capsule Networks

MB-CapsNet: An Efficient Fusion of MobileNetV3 and Matrix Ca...

引用

2022 Chinese Automation Congress, CAC 2022

作者： Han, Wenxing Zou, An-Min Shantou University Guangdong Provincial Key Laboratory of Digital Signal and Image Processing Dept. of Electronic and Information Engineering Shantou China

ISBN: (纸本)9781665465335

The capsule network constructs the relationship between the part and the whole in an image through feature coding, which shows excellent performance in the image classification. However, the original capsule network is weak in extracting useful feature information, because it tends to explain all the information in a graph and the advantages of the capsule network cannot be reflected in the face of complex background datasets. By using MobileNetV3 as the backbone to replace the simple primary convolutional network layer, an improved capsule network named MB-CapsNet is proposed in this paper. The advanced network reducing the interference of invalid features to focus on effective features. At the same time, a variety of parameter sets are employed and extensive experiments are proceeded on four kinds of datasets. After that, an optimal network configuration is obtained which is suitable for different datasets. The experimental results illustrate that the advanced MB-CapsNet is more effectively than the original capsule network in the feature extraction, showing its advantages and potential in complex datasets. © 2022 IEEE.

关键词： image classification

来源：评论

学校读者我要写书评

暂无评论

Viewer authentication for personalized iTV services

Viewer authentication for personalized iTV services

引用

8th International Workshop on image Analysis for Multimedia Interactive Services, WIAMIS 2007

作者： Mlakar, Tilen Zaletelj, Janez Tasic, Jurij F. University of Ljubljana Faculty of Electrical Engineering Digital Signal Image and Video Processing Laboratory Trzaska 25 SI-1000 Ljubljana Slovenia

ISBN: (纸本)076952818X

The proliferation of interactive digital TV services will depend on their complexity and ease of use. The investigation of simple, intuitive human-machine interfaces is therefore crucial for their success. Personalized iTV services require consumer authentication and consumer input, which is traditionally done by using the remote control. In this paper, we investigate alternative ways to collect consumer input based on computer vision methods. The goal of the proposed system is to enable consumer authentication and automatic collection of consumer feedback on the TV program. The image processing system on the STB continually monitors the TVviewer(s). The face detection is employed to detect and track the number of people watching the TV program. Face recognition is employed to identify specific TV viewers, which is necessary in order to enable personalized user interface and personalized services. Eye detection and gaze recognition is used to continually track the interest level of the specific viewer towards the TV content, which is important feedback information. © 2007 IEEE.

关键词： Authentication

来源：评论

学校读者我要写书评

暂无评论

ICA-based blind symbol detection for compound system MIMO-OFDM in CDMA context

ICA-based blind symbol detection for compound system MIMO-OF...

引用

2010 17th International Conference on Telecommunications, ICT 2010

作者： Hamza, A. Meftah, E.H. Chitroub, S. Touhami, R. Signal and Image Processing Laboratory Electronics and Computer Science Faculty USTHB Algiers Algeria Instrumentation Laboratory Electronics and Computer Science Faculty USTHB Algiers Algeria

ISBN: (纸本)9781424452477

Independent Component Analysis (ICA) based method for detection in the compound system MIMO-OFDM and in the context of CDMA is proposed. ICA algorithm is used as a post processor attached to a subspace based CDMA receiver. The proposed architecture of receiver reduces the bias caused by the channel noise and further decreases the noise by dimensionality reduction. A downlink CDMA based MIMO-OFDM channel is investigated given that only the code of the wanted mobile user is known. So, the blind symbol separation is then performed with the proposed receiver. We compare the proposed receiver and the ICA ability to the conventional matched filter, the wellknown linear MMSE receiver, the ZF detector. The obtained simulation results for the Additive White Gaussian Noise (AWGN) channel demonstrate that the proposed scheme achieves significant Bit Error Rate (BER) performance and is suitable for CDMA based MIMO-OFDM system. © 2009 IEEE.

关键词： Orthogonal frequency division multiplexing

来源：评论

学校读者我要写书评

暂无评论

AN EXPERIMENTAL-MECHANICS DYNAMIC MEASUREMENT PROCEDURE BASED ON COMPUTER VISION TECHNIQUES

引用

MATERIALS AND STRUCTURES 1992年第150期25卷 366-372页

作者： FAIRBAIRN, EMR ROITMAN, N MOREIRA, ALC 1. Ladepis-Coppe-UFRJ (Laboratory of Dynamic Experimental Analysis and Signal and Image Processing) Graduate Institute of the Federal University of Rio de Janeiro CP 68506 21945 Rio de Janeiro RJ Brazil

This paper describes a computer-vision based methodology for non-contact measuring of mechanical system movements. This methodology consists of frame-to-frame processing of video images corresponding to pictures acquired from vibrating structures. The main hardware and software tools are described here. Some benchmark tests are also shown so as to demonstrate the accuracy of the measurement methodology. Finally, perspectives of future developments and applications are discussed.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Mixed PCA/ICA spectral/spatial compression for hyperspectral imagery

Mixed PCA/ICA spectral/spatial compression for hyperspectral...

引用

Chemical and Biological Standoff Detection III

作者： Wang, Jing Chang, Chein-I. Remote Sensing Signal and Image Processing Laboratory Department of Computer Science and Electrical Engineering University of Maryland Baltimore County Baltimore MD 21250

Principal components analysis (PCA) has been widely used in many applications, particularly, data compression. Independent component analysis (ICA) has been also developed for blind source separation along with many other applications such as channel equalization, speech processing. Recently, it has been shown that the ICA can be also used for hyperspectral data compression. This paper investigates these two transforms in hyperspectral data compression and further evaluates their strengths and weaknesses in applications of target detection, mixed pixel classification and abundance quantification. In order to take advantage of the strengths of both transform, a new transform, called mixed PCA/ICA transform is developed in this paper. The idea of the proposed mixed PCA/ICA transform is derived from the fact that it can integrate different levels of information captured by the PCA and ICA. In doing so, it combines m principal components (PCs) resulting from the PCA and n independent components (ICs) generated by the ICA to form a new set of (m+n) mixed components used for hyperspectral data compression. The resulting transform is referred to as mixed (m,n)-PCA/ICA transform. In order to determine the total number of components, p needed to be generated for the mixed (m,m)-PCA/ICA transform, a recently developed virtual dimensionality (VD) is introduced to estimate the p where p = m + n. If m = p and n = 0, then mixed (m,n)-PCA/ICA transform is reduced to PCA transform. On the other hand, if m = 0 and n = p, then mixed (m,n)-PCA/ICA transform is reduced to ICA. Since various combinations of m and n have different impacts on the performance of the mixed PCA/ICA spectral/spatial compression in applications, experiments based on subpixel detection and mixed pixel quantification are conducted for performance evaluation.

关键词： image compression

来源：评论

学校读者我要写书评

暂无评论

Person re-identification with density-distance unsupervised salience learning 8th

Person re-identification with density-distance unsupervised ...

引用

8th International Conference on image and Graphics, ICIG 2015

作者： Zhou, Baoliang Zheng, Aihua Jiang, Bo Li, Chenglong Tang, Jin Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education School of Computer Science and Technology AnHui University Hefei China Key Laboratory of Industry Image Processing and Analysis in Anhui Province Hefei China

ISBN: (纸本)9783319219684

Human salience of pedestrians images is distinctive and has been shown importantly in person re-identification (or pedestrians identification) problem. Thus, how to obtain the salient area of pedestrian images is important for this salience based pedestrians identification problem. In this paper, we first show that this kind of salient area detection can be formulated as a kind of outlier detection problem, and then propose a novel unsupervised salience learning method using a local outlier-detection technique for person re-identification task. The main feature of the proposed salience computation method is that it exploits both distance and density information simultaneously. Experimental results on several datasets show the effectiveness of the proposed salience based person re-identification method. © Springer International Publishing Switzerland 2015.

关键词： Statistics

来源：评论

学校读者我要写书评

暂无评论

On Cognitive Radar Jamming for countering Cognitive Electromagnetic Protection systems

On Cognitive Radar Jamming for countering Cognitive Electrom...

引用

2024 IEEE International Workshop on Technologies for Defense and Security, TechDefense 2024

作者： Banerjee, Hemanga Ilioudis, Christos Clemente, Carmine Williams, Chris University of Strathclyde Centre for Signal and Image Processing Glasgow United Kingdom Defence Science and Technology Laboratory Porton Down Wiltshire United Kingdom

ISBN: (纸本)9798331505585

The paper introduces a novel model of a fully adaptive cognitive radar jamming approach, designed for the purpose of countering modern cognitive radars. Cognitive radar systems have been widely used in modern electromagnetic warfare and also serve as an effective counter to traditional jamming techniques. Cognitive jamming makes use of machine learning and adaptive signal processing strategies to dynamically adapt jamming strategies in response to real-time changes in target radar transmissions. The proposed model may be used to incorporate advanced reinforcement learning algorithms, signal feature extraction techniques, and waveform optimization techniques to create a cohesive system that can optimize jamming strategies with minimal prior knowledge of the electromagnetic environment. The paper also discusses the state-of-the-art in cognitive radar jamming technologies, and their efficiency in the face of intelligent radar equipped with advanced anti-jamming measures. Furthermore, it addresses current challenges and future directions in the field with considerations for defense and security applications. © 2024 IEEE.

关键词： Jamming

来源：评论

学校读者我要写书评

暂无评论

A new application of texture unit coding to mass classification for mammograms

A new application of texture unit coding to mass classificat...

引用

2004 International Conference on image processing, ICIP 2004

作者： Chen, Yuan Chang, Chein-I. Remote Sensing Signal and Image Processing Laboratory Department of Computer Science and Electrical Engineering University of Maryland Baltimore County Baltimore MD 21250

Texture is one of important features of masses in mammograms. A recent texture unit-based texture spectrum approach, referred to as Texture Unit Coding (TUC) has shown promise in texture classification. This paper presents a new application of the TUC to mass classification in mammograms. The TUC generates a texture spectrum for a texture image that can be used to describe the characteristics of masses. It also develops an information divergence (ID)-based discrimination criterion to measure the discrepancy between two texture spectra, a concept yet to explore in texture analysis. The TUC along with ID are further applied to mass classification in mammograms where the MiniMammographic Database provided by the Mammographie image Analysis Society (MIAS) is used for experiments. ©2004 IEEE.

关键词： Mammography

来源：评论

学校读者我要写书评

暂无评论

Does an endmember set really yield maximum simplex volume?

Does an endmember set really yield maximum simplex volume?

引用

2007 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2007

作者： Wu, Chao-Cheng Chang, Chein-I IEEE Department of Computer Science Remote Sensing Signal and Image Processing Laboratory University of Maryland Baltimore County Baltimore MD United States

ISBN: (纸本)1424412129

One of commonly used criteria for finding an endmember set is to assume that for a given number of endmembers, p, ap-vertex simplex with its vertices specified byp endmembers always yields the maximum volume. Since there are also other criteria which have been widely used for endmember extraction, the issue of interest is "does an endmember set really produce a simplex with maximum volume?" In other words, using the criterion of a simplex with maximum volume is a better and more effective measure than other criteria currently being used by endmember extraction such as orthogonal projection-based pixel purity index (PPI), fully constrained least squares-based spectral unmixing, etc. This paper explores this issue by investigating a number of popular endmember extraction algorithms which are designed by different criteria. An extensive experiment-based study is also conducted for comparative analysis. © 2007 IEEE.

关键词： Remote sensing

来源：评论

学校读者我要写书评

暂无评论

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：

请选择收藏分类：

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

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：