检索结果-内蒙古大学图书馆

Classification of DCT-based filtered multichannel images

Classification of DCT-based filtered multichannel images

10th International Conference on Modern Problems of Radio Engineering, Telecommunications and Computer Science, TCSET'2010

作者： Fevralev, Dmitriy Lukin, Vladimir Krivenko, Sergey Ponomarenko, Nikolay Kurekin, Andriy Dept. of Receivers Transmitters and Signal Processing National Aerospace University 17 Chkalova St 61070 Kharkov Ukraine Applied Digital Signal and Image Processing Research Centre University of Central Lancashire PR1 2HE Preston United Kingdom

ISBN: (纸本)9789665538752

Multichannel remote sensing (MRS) data can be passed to customers in different forms: original (raw), prefiltered, compressed, classified. In this paper, we analyze how pre-filtering of original images can influence classification accuracy of three-channel images using three channels of real life Landsat TM data with simulated noise.

关键词： Remote sensing

来源：评论

学校读者我要写书评

暂无评论

Advanced RNN Based NARMA Predictors

引用

Journal of VLSI signal processing systems for signal, image and video technology 2000年第1期26卷 105-117页

作者： Mandic, Danilo P. Chambers, Jonathon A. Image Speech and Signal Processing Research Group School of Information Systems University of East Anglia Norwich UK Communications and Signal Processing Research Group Department of Electrical Engineering Imperial College London UK

An analysis of nonlinear time series prediction schemes, realised though advanced Recurrent Neural Network (RNN) techniques is provided. Due to practical constraints in using common RNNs, such as the problem of vanishing gradient, some other ways to improve RNN based prediction are analysed. This is undertaken for a simple RNN through to the Pipelined Recurrent Neural Network (PRNN), which consists of a number of nested small-scale RNNs. A Nonlinear AutoRegressive Moving Average (NARMA) nonlinear model is introduced in the context of RNN architectures, and an posteriori mode of operation within that framework. Moreover, it is shown that the basic a priori PRNN structure exhibits certain a posteriori features. The PRNN based predictor, is shown to exhibit nesting, and to be able to represent block cascaded stochastic models, such as the Wiener–Hammerstein model. Simulations undertaken on a speech signal support the analysis.

关键词：

来源：评论

学校读者我要写书评

暂无评论

A novel medical image segmentation method using dynamic programming

A novel medical image segmentation method using dynamic prog...

引用

4th International Conference Medical Information Visualisation: BioMedical Visualisation, MediViz 2007

作者： Yan, Zhang Matuszewski, Bogdan J. Shark, Lik-Kwan Moore, Christopher J. Applied Digital Signal and Image Processing Research Centre University of Central Lancashire Preston United Kingdom North Western Medical Physics Christie Hospital NHS Trust Manchester United Kingdom

ISBN: (纸本)0769529046

A novel method is proposed to segment objects in medical images whose boundaries can be described as closed curves. Based on an image with the enhanced boundary of an object of interest, the segmentation method consists of three key steps, namely, the polar transformation, dynamic programming and curve fitting. A 3D object in volumetric data can be segmented on a slice-by-slice basis by only specifying one point inside the 3D object of interest as the pole for the polar transformation. The method is also shown to be able to segment objects with very weak boundaries. © 2007 IEEE.

关键词： Medical imaging

来源：评论

学校读者我要写书评

暂无评论

Deformable image registration using spring mass system

Deformable image registration using spring mass system

引用

2006 17th British Machine Vision Conference, BMVC 2006

作者： Shen, Jian-Kun Mastuszewski, Bogdan J. Shark, Lik-Kwan Moore, Christopher J. Applied Digital Signal and Image Processing Research Centre University of Central Lancashire Preston United Kingdom North Western Medical Physics Christie Hospital NHS Trust Manchester United Kingdom

ISBN: (纸本)1904410146

The paper describes a novel multi-resolution registration method. It is fast, robust and offers high registration accuracy. The algorithm models deformations using an elastic spring mass system, which contains sparse masses interconnected by springs. The proposed method uses data intensity values to guide deformation with local constraints imposed by interaction of interconnecting springs. Moreover, by using such system prior information about the data can by easily embedded into the system to improve the registration accuracy. The performance of the method is tested using simulated as well as real dynamic magnetic resonance image dMRI data.

关键词： Deformation

来源：评论

学校读者我要写书评

暂无评论

Non-Rigid Structure from Motion with Diffusion Maps Prior

Non-Rigid Structure from Motion with Diffusion Maps Prior

引用

IEEE Conference on Computer Vision and Pattern Recognition

作者： Lili Tao Bogdan J. Matuszewski Applied Digital Signal and Image Processing Research Centre University of Central Lancashire

ISBN: (纸本)9781467364102

In this paper, a novel approach based on a non-linear manifold learning technique is proposed to recover 3D non-rigid structures from 2D image sequences captured by a single camera. Most of the existing approaches assume that 3D shapes can be accurately modelled in a linear subspace. These techniques perform well when the deformations are relatively small or simple, but fail when more complex deformations need to be recovered. The non-linear deformations are often observed in highly flexible objects for which the use of the linear model is impractical. A specific type of shape variations might be governed by only a small number of parameters, therefore can be well-represented in a low dimensional manifold. We learn a nonlinear shape prior using diffusion maps method. The key contribution in this paper is the introduction of the shape prior that constrain the reconstructed shapes to lie in the learned manifold. The proposed methodology has been validated quantitatively and qualitatively on 2D points sequences projected from the 3D motion capture data and real 2D video sequences. The comparisons of the proposed manifold based method against several state-of-the-art techniques are shown on different types of deformable objects.

关键词： Shape Manifolds Three-dimensional displays Trajectory Training Cameras image reconstruction

来源：评论

学校读者我要写书评

暂无评论

Simulation-framework for purely digital CNN/MRF-architectures

Simulation-framework for purely digital CNN/MRF-architecture...

引用

IEEE International Workshop on Cellular Nanoscale Networks and their Applications, (CNNA)

作者： S.C. Stilkerich Image and Signal Processing Group EADS Corporate Research Center Munich Germany

Any kind of hardware-relevant modeling, simulation and analysis of purely digital and massively parallel architectures, which is based on CNN/MRF processing principles is a time consuming, computing resources intensive, fault-prone and complex task. Until now there is no industrially qualified toolkit available to systematically support these tasks in a single closed environment. In this paper we present a novel simulation-framework for purely digital CNN/MRF processing systems. The unique modeling, hardware-relevant simulation and analysis capabilities unified in this simulation-framework allows it to systematically investigate (1) the massively parallel processing dynamic of digital CNN/MRF devices, (2) the model's convergence behavior and (3) complete CNN/MRF systems with an application-specific size. The paper is finalized by simulation results demonstrating the ability of the framework to handle CNN/MRF processing systems of realistic size and complexity. This manifests the industrial relevance of the proposed CNN/MRF simulation-framework.

关键词： Cellular neural networks Analytical models Computational modeling Infrared sensors signal processing Space technology Radiation hardening Mathematical model Application specific integrated circuits Environmental management

来源：评论

学校读者我要写书评

暂无评论

Contact-less human vital sign monitoring with a 12 channel synchronous parallel processing magnetic impedance measurement system

引用

4th European Conference of the International Federation for Medical and Biological Engineering, ECIFMBE 2008

作者： Liebold, Falk Hamsch, Matthias Igney, Claudia Medical Signal Processing Group Philips Research Weisshausstr. 2 Aachen 52066 Germany Department of Medical Engineering and Biotechnology University of Applied Sciences Jena Jena Germany

ISBN: (纸本)9783540892076

Magnetic impedance measurements allow monitoring conductivity changes in the tissue. The idea is to generate a primary electromagnetic field which permeates the human body and to evaluate the received electromagnetic field. The received electromagnetic field is a superposition of the primary field and a secondary field which is caused by eddy currents in the human body. Changes of the conductivity over time e.g. due to breathing or heartbeats can be measured. This non-contact method makes it possible to acquire human vital signs without cables or electrodes connected to the human body. The system can be simply placed below the bed or even integrated into a bed. It consists of four transmit planar coils and twelve receiver coils aligned orthogonally. The multi-channel receiver system allows real time synchronous parallel data processing. The synchronous parallel data processing of the analog to digital converted data enables the correlation between the channels and an improvement of the heartbeat and breathing signal figures. This paper concentrates on the realization of receiver electronics and the central control- and application software, running on a PC for a 12 channel system, used to visualize breathing and heartbeat. Furthermore, it gives an overview about the present noise and drift. To verify the system, state of the art technologies (e.g. respiration measurements and an ECG) are detected at the same time and compared with the related extracted signals. © 2009 Springer Berlin Heidelberg.

关键词： Electromagnetic fields

来源：评论

学校读者我要写书评

暂无评论

Robust multiple model-based control proposed for a SISO CSTR Benchmark 2

Robust multiple model-based control proposed for a SISO CSTR...

引用

2nd IEEE International Conference on signal, Control and Communication, SCC 2021

作者： Yousfi, Marwa Garna, Tarek Messaoud, Hassani University of Monastir Research Laboratory of Automatic Signal and Image Processing National Engineering School of Monastir Monastir5019 Tunisia University of Sousse Higher Institute of Applied Science and Technology of Sousse Sousse4003 Tunisia

ISBN: (纸本)9781665402705

In this paper, robust multiple model-based LSDP (Loop-Shaping Design Procedure) controller is proposed for a SISO system where each linear submodel is represented in the form of a SISO ARX (Auto Regressive with exogenous input) Laguerre model. The proposed controller guarantees robustness in term of stability and reference tracking of the SISO system in presence of parametric uncertainties. Simulation example on the SISO CSTR (Continuous Stirred Tank Reactor) Benchmark is given to show the efficiency and the robustness of the proposed controller in handling the parametric uncertainties of the process. © 2021 IEEE.

关键词： Controllers

来源：评论

学校读者我要写书评

暂无评论

S2A: Wasserstein GAN with Spatio-Spectral Laplacian Attention for Multi-Spectral Band Synthesis

arXiv

引用

arXiv 2020年

作者： Rout, Litu Misra, Indranil Manthira Moorthi, S. Dhar, Debajyoti Signal and Image Processing Group Space Applications Centre Indian Space Research Organisation

Intersection of adversarial learning and satellite image processing is an emerging field in remote sensing. In this study, we intend to address synthesis of high resolution multi-spectral satellite imagery using adversarial learning. Guided by the discovery of attention mechanism, we regulate the process of band synthesis through spatio-spectral Laplacian attention. Further, we use Wasserstein GAN with gradient penalty norm to improve training and stability of adversarial learning. In this regard, we introduce a new cost function for the discriminator based on spatial attention and domain adaptation loss. We critically analyze the qualitative and quantitative results compared with state-of-the-art methods using widely adopted evaluation metrics. Our experiments on datasets of three different sensors, namely LISS-3, LISS-4, and WorldView-2 show that attention learning performs favorably against state-of-the-art methods. Using the proposed method we provide an additional data product in consistent with existing high resolution bands. Furthermore, we synthesize over 4000 high resolution scenes covering various terrains to analyze scientific fidelity. At the end, we demonstrate plausible large scale real world applications of the synthesized band1. Copyright © 2020, The Authors. All rights reserved.

关键词： Laplace transforms

来源：评论

学校读者我要写书评

暂无评论

Monte-Carlo Siamese Policy on Actor for Satellite image Super Resolution

Monte-Carlo Siamese Policy on Actor for Satellite Image Supe...

引用

IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

作者： Litu Rout Saumyaa Shah S Manthira Moorthi Debajyoti Dhar Signal and Image Processing Group Indian Space Research Organisation Space Applications Centre

ISBN: (数字)9781728193601

ISBN: (纸本)9781728193618

In the past few years supervised and adversarial learning have been widely adopted in various complex computer vision tasks. It seems natural to wonder whether another branch of artificial intelligence, commonly known as Reinforcement Learning (RL) can benefit such complex vision tasks. In this study, we explore the plausible usage of RL in super resolution of remote sensing imagery. Guided by recent advances in super resolution, we propose a theoretical framework that leverages the benefits of supervised and reinforcement learning. We argue that a straightforward implementation of RL is not adequate to address ill-posed super resolution as the action variables are not fully known. To tackle this issue, we propose to parameterize action variables by matrices, and train our policy network using Monte-Carlo sampling. We study the implications of parametric action space in a model-free environment from theoretical and empirical perspective. Furthermore, we analyze the quantitative and qualitative results on both remote sensing and non-remote sensing datasets. Based on our experiments, we report considerable improvement over state-of-the-art methods by encapsulating supervised models in a reinforcement learning framework.

关键词： image resolution Remote sensing Learning (artificial intelligence) Mathematical model Task analysis Machine learning Feature extraction

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：