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检索条件"机构=Key Laboratory of Intelligent Information Perception and Processing Technology"

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Spectral clustering based unsupervised change detection in SAR images

Spectral clustering based unsupervised change detection in S...

引用

IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Xiangrong Zhang Zemin Li Biao Hou Licheng Jiao Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China Institute of Intelligent Information Processing Xidian University Xi'an China

An unsupervised change detection method based on spectral clustering and difference image methods for multitemporal single-channel single-polarization synthetic aperture radar (SAR) images is proposed. The difference image is generated by integrating the typical difference image method with Non-Local Filter, which exploits both the spatial neighborhood information and gray similarity information, and can well reduce the speckle noises of SAR images. The spectral clustering algorithm is employed to cluster the difference image into two clusters and get the change map. Compared with traditional clustering algorithms, such as A-means, SC can recognize the clusters of unusual shapes and obtain the globally optimal solutions. Experimental results confirm the effectiveness of the proposed techniques.

关键词： Clustering algorithms Remote sensing Principal component analysis Change detection algorithms Synthetic aperture radar Sensors Noise

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SAR Image Despeckling via Spatially Constrained Multiscale Products

SAR Image Despeckling via Spatially Constrained Multiscale P...

引用

2011 IEEE CIE International Conference on Radar(2011年IEEE国际雷达会议RADAR 2011)

作者： X. L. Tian L. C. Jiao X. H. Zhang Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China Institute of Intelligent Information Processing Xidian University Xi'an China

This paper presents a wavelet-based multiscale products scheme for synthetic aperture radar (SAR) image despeckling. A compactly supported quadratic spline function that approximates the first derivative of Gaussian is employed in the scheme to decompose log-transformed SAR images. The multiplied results of the decomposed coefficients of adjacent scales consist of multiscale products. The multiscale products can sharp the important structures while weakening noise. A spatially selective neighborhood technique by iteratively selecting neighborhood system in the multiscale products is introduced in searching the important structure information. The influence of the spatial information is imposed on the multiscale products, instead of on the wavelet coefficients, which improves the capability of identifying important features. Experiments show that the proposed scheme is better in SAR image despeckling and preserving edges and detail information than other waveletbased multiscale products methods.

关键词： Despeckling synthetic aperture radar multiscale products wavelet transform neighborhood system

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Partial Differential Equation Model Method Based on Image Feature for Denoising

Partial Differential Equation Model Method Based on Image Fe...

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

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

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.

关键词： Mathematical model TV Image edge detection Noise reduction Noise Noise measurement Numerical models

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An analysis of the eigenvalues method for polarimetric SAR image classification

An analysis of the eigenvalues method for polarimetric SAR i...

引用

IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： S. P. Gou Xin. Qiao L. C. Jiao Key Laboratory of Intelligent Perception and Image Understanding Ministry of Education of China Institute of Intelligent Information Processing Xidian University Xi'an China

In this paper, we focus on the distribution of eigenvalues, and based on Gaussian assumption, then we do an analysis of the eigenvalues potential for POL-SAR classification. Generally, we use Gaussian mixture model to describe the distribution of the eigenvalue and Bayesian classifier to achieve the POL-SAR pixel classification. The method is tested with the NASA/JPL AIRSAR data.

关键词： Decision support systems

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Image Denoising with Non-Local Means in the Shearlet Domain

Image Denoising with Non-Local Means in the Shearlet Domain

引用

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

作者： Xiaohua Zhang Qiang Zhang L. C. Jiao Key Laboratory of Intelligent Perception and Image Understanding of the Ministry of Education of China Institute of Intelligent Information Processing Xidian University Xi'an China

In this paper, a novel method for image denoising is proposed which adopts multiscale geometry tool. Firstly the image is decomposed by discrete shearlet transform. The shearlet coefficients of each direction approach the generalized Gaussian distribution. We use the principal component analysis (PCA) for every similarity window of shearlet coefficients. Then we use Generalized Gaussian model of non-local means method to handle the shearlet coefficients. Finally, we reconstruct image with the new shearlet coefficients to obtain the result. Numerical results show that our algorithm competes favorably with nonlocal means algorithms in the case of high noise.

关键词： Image denoising Transforms Pixel Principal component analysis Algorithm design and analysis Noise reduction Noise

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Combining supervised and unsupervised models via unconstrained probabilistic embedding

Combining supervised and unsupervised models via unconstrain...

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22nd International Joint Conference on Artificial Intelligence, IJCAI 2011

作者： Ma, Xudong Luo, Ping Zhuang, Fuzhen He, Qing Shi, Zhongzhi Shen, Zhiyong Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences China Hewlett Packard Labs. China China Graduate University of Chinese Academy of Sciences China

ISBN: (纸本)9781577355120

Ensemble learning with output from multiple supervised and unsupervised models aims to improve the classification accuracy of supervised model ensemble by jointly considering the grouping results from unsupervised models. In this paper we cast this ensemble task as an unconstrained probabilistic embedding problem. Specifically, we assume both objects and classes/clusters have latent coordinates without constraints in a D-dimensional Euclidean space, and consider the mapping from the embedded space into the space of results from supervised and unsupervised models as a probabilistic generative process. The prediction of an object is then determined by the distances between the object and the classes in the embedded space. A solution of this embedding can be obtained using the quasi-Newton method, resulting in the objects and classes/clusters with high co-occurrence weights being embedded close. We demonstrate the benefits of this unconstrained embedding method by three real applications.

关键词： Newton-Raphson method

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Quantitative study on despeckle methods of medical ultrasound images

Quantitative study on despeckle methods of medical ultrasoun...

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2011 IEEE International conference on intelligent Computation and Bio-Medical Instrumentation, ICBMI 2011

作者： Ma, Runxia Zhang, Xuming Ding, Mingyue Liu, Qi Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China Life College of Science and Technology Huazhong University of Science and Technology Wuhan China School of Electrical Information Engineering Sichuan University Chengdu China

ISBN: (纸本)9780769546230

Speckle is a granular noise that inherently exists in all types of coherent imaging systems. This paper presents a quantitative study on five despeckling methods such as frost filter, kuan filter, speckle reducing an isotropic diffusion, homomorphic filter and wavelet filter. We select six objective evaluation parameters, such as signal-to-ratio, contrast signal-to-noise ratio, figure of merit, least absolute error, edge protection factor, signal-to-minimum mean square error ratio, to quantify the performance of these filters. The comparative study will provide some parameter comparative reference for selecting a suitable filter in the ultrasound image processing. © 2011 IEEE.

关键词： Mean square error

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Estimating the connection probability for 2-D mesh networks by Monte Carlo methods

Estimating the connection probability for 2-D mesh networks ...

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International Conference on Computer and Management

作者： Liang, Meilian Liang, Binmei Shao, Zehui Xu, Xiaodong School of Mathematics and Information Science Guangxi University Nanning 530004 China Key Laboratory of Pattern Recognition and Intelligent Information Processing School of Information Science and Technology Chengdu University Chengdu 610106 China Guangxi Academy of Sciences Nanning 530007 China

ISBN: (纸本)9781424492831

Fault tolerance is a central issue in the design and implementation of interconnection networks for large parallel systems. Connection probability of a network is a good network fault tolerance measure. For a mesh of given size and node failure probability, the gap between the known upper and lower bounds on the connection probability is often very large. In this paper we design algorithms to estimate the connection probability for 2-D meshes by Monte Carlo methods. The experiment is carefully designed and performed, and the simulation results give good estimates of the connection probability for 2-D meshes and can be used to evaluate the known lower and upper bounds on connection probability for 2-D meshes. ©2011 IEEE.

关键词： Monte Carlo methods

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Dynamic description logics based semantic web services composition

Dynamic description logics based semantic web services compo...

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3rd International Conference on Artificial Intelligence and Computational Intelligence, AICI 2011

作者： Peng, Hui Chen, Limin Zeng, Weizhong Tang, Junjian Education Technology Center Beijing International Studies University Beijing 100024 China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China Information Engineering School Nanchang University Nanchang 330031 China

ISBN: (纸本)9783642238864

The automatic Web services composition has been a research focus since an ever-increasing numbers of Web services are created and published. In this paper, we present a dynamic description logics (DDLs) based method for automatic Web services composition. DDLs are an extension of description logic with a dynamic dimension. It adds actions expressions into description logic and makes up a set of reasoning mechanism for action expressions. The DDLs reasoner has been built for DDLs formulas. As an Web service can be regarded as an action in Web, its accomplishment changes the state of Web, from original state to aim state, an Web service can be described as an action in DDLs, which this action can be described in terms of formulas in DDLs. Due to these relations between Web service and DDLs actions, our method describes both the goal service and atomic services in terms of DDLs formulas. We proved that if a goal formula can not be satisfied then the services composition can be found. The procedure of checking the satisfiability of the formula is also the procedure of discovering the services composition. Thus the problem of automatic services composition is reduced to the problem of checking the satisfiability of formulas in DDLs. An example of automatic services composition in travel area shows the effectiveness of our method. © 2011 Springer-Verlag.

关键词： Web services

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Ultrasound image denoising with multi-shape patches aggregation based non-local means

Ultrasound image denoising with multi-shape patches aggregat...

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2011 IEEE International conference on intelligent Computation and Bio-Medical Instrumentation, ICBMI 2011

作者： Chen, Wanjun Ding, Mingyue Miao, Yalin Luo, Lei Department of Information Science Xi'an University of Technology Xi'an Shannxi 710048 China College of Life Science and Technology Lmage Processing and Intelligent Control Key Laboratory of Education Ministry of China Huazhong University of Science and Technology Wuhan Hubei 430074 China

ISBN: (纸本)9780769546230

The Non-Local Means (NLM) filter uses the redundancy of information in the image to remove noise, this scheme gives some of the best results among other powerful methods such as wavelet based approaches or diffusion techniques. Though simple to implement and efficient in practice, the classical NLM suffers from ringing artifacts around edges when using square patches, due to an abrupt lack of redundancy of the image. This paper presents an extended NLM based on Multi-Shape Patches Aggregation (NLM-MSPA) to overcome this problem, and uses it to remove medical ultrasound images corrupted by multiplicative speckle noise. We have incorporated a preprocessing step to make the speckle noise much closer to the real additive white Gaussian noise, hence more amenable to a denoising algorithm such as NLM-MSPA. Results on real images and artificially speckled images show that the proposed scheme outperforms several classical methods chosen for comparison in its ability to reduce speckle and preserve edge details. © 2011 IEEE.

关键词： Speckle

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