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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501-510 订阅

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Statistical landscape features for texture classification

Statistical landscape features for texture classification

引用

International conference on pattern recognition

作者： Cun Lu Xu Yan Qiu Chen Department of Computer Science and Engineering & Center of Wave Scattering and Remote Sensing Fudan University Shanghai China

ISBN: (纸本)0769521282

This paper proposes the use of information derived from the graph of a texture image function for texture description. The graph of an image function is a rumpled surface in the three-dimensional space that appears like a landscape. Four novel texture feature curves are used to characterize the texture. This method is named as statistical landscape features (SLF). SLF achieves a very high correct classification rate of 94.53% on the entire Brodatz set. Besides the very good performance, another remarkable advantage of the proposed method is that it has no parameter to tune.

关键词： image texture analysis Signal processing Discrete wavelet transforms remote sensing Application software image texture Feature extraction Statistics Gabor filters Filter bank

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Multisensor aerial image registration using direct histogram specification

Multisensor aerial image registration using direct histogram...

引用

IEEE International conference on Networking, sensing and Control

作者： Hongya Tuo Lin Zhang Yuncai Liu Institute of Image Processing & Pattern Recognition Shanghai Jiaotong University Shanghai China

Multisensor image registration is a difficult problem. In this paper, we give a new registration method using direct histogram specification technique. We find that after using histogram specification, the resulting images with the same view look more similar, though the original images gained by different sensors differ much in intensity. Based on this property, a novel approach to find matching block pairs is proposed. The centers of the block pairs are used as control points (cps). We also use the cluster method of the nearest function criterion to test the correctness of the cps and discard wrong ones. The algorithm has been tested by many aerial images of different sensors. The effectiveness is illustrated by the experimental results.

关键词： image registration Histograms image sensors pattern recognition remote sensing image processing Satellites Testing Feature extraction Sensor phenomena and characterization

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Radius estimation for subsurface cylindrical objects detected by ground penetrating radar

Radius estimation for subsurface cylindrical objects detecte...

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10th International conference on Ground Penetrating Radar (GPR 2004)

作者： Shihab, S Al-Nuaimy, W Eriksen, A Univ Liverpool Dept Elect Engn & Elect Liverpool L69 3GJ Merseyside England

ISBN: (纸本)9090179593

Hyperbolae are common features in typical GPR scans that may result from localised reflectors (such as rocks), or from a buried cylindrical-shaped objects (such as pipes or drums). The shapes of these hyperbolae are influenced by both the nature of the subsurface reflector as well as the relative permittivity of the medium in which the objects are located. It is this uncertainty about what a hyperbola in a GPR scan actually represents, that has made it very difficult to make accurate estimations from GPR data, with regard to the buried object itself on one hand, and to the medium surrounding it on the other. In this paper, a novel general equation for hyperbolae which result from buried cylinders is presented which allows for cylinders of arbitrary radius, resulting in a more accurate estimation of the relative permittivity of the surrounding medium and of the depth, in addition to the radius information. This is achieved by subjecting the radargrams to a series of image processing stages followed by a curve-fitting procedure specifically developed for hyperbolae. The fitting technique is applied on a variety of synthetic hyperbolae that are generated to emulate reflections from targets of varying depth and radius and buried in a range of dielectrics. The results indicate this technique is fully capable of successfully estimating the depth and radius to within 1%. Further application to control site data has also given similar results, validating the method and justifying the assumptions used.

关键词： GPR pattern recognition curve filling pipe delection

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A land use classification method based on region and edge information fusion

A land use classification method based on region and edge in...

引用

IEEE International conference on image processing

作者： Gang Wu Chunhong Pan V. Prinet Songde Ma National Laboratory of Pattern Recognition Institute of Automation Chinese Academy and Sciences Beijing China

In this paper, we propose an unsupervised land use classification method for multispectral image. Especially, we present a novel spatial mean shift procedure and an automatic band selection method. We make full use of the edge information from the mean shift procedure to improve the over-segmentation. Experimental results on Landsat TM images validate the efficiency of the proposed method.

关键词： Multispectral imaging Kernel Satellites remote sensing remote monitoring image generation Principal component analysis Convergence Laboratories Automation

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Convex set-based estimation of image flows

Convex set-based estimation of image flows

引用

International conference on pattern recognition

作者： J. Yuan C. Schnorr T. Kohlberger P. Ruhnau CVGPR-Group Department Mathematics& Computer Science University of Mannheim Germany

We introduce a set-based approach for estimating image motion based on an optical flow constraint and a finite number of arbitrary differential constraints describing physically plausible vector fields. Compared to related variational estimation approaches, our approach strictly satisfies each separate constraint and becomes not more involved in the presence of higher-order differential operators. The approach is implemented using established subgradient projection schemes onto the set of feasible solutions. Our approach is particularly suited if quantitative prior knowledge about structural flow properties is available, and for the regularized estimation of highly non-rigid image motion.

关键词： Motion estimation Signal processing algorithms Algorithm design and analysis Boundary conditions Biomedical optical imaging Optical sensors image motion analysis Biomedical imaging remote sensing Cameras

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Proceedings. 2004 International conference on Information and Communication Technologies: From Theory to Applications (IEEE Cat. No.04EX852)

Proceedings. 2004 International Conference on Information an...

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International conference on Information and Communication Technologies: From Theory to Applications, ICTTA

The following topics are dealt with: e-government; e-commerce; e-health; intelligent transportation; e-business; e-learning; optical communication; wireless networking; mobility management; antenna; remote sensing; sonar imaging; image processing; machine vision; fuzzy logic information processing; image indexing; information retrieval; cryptography; artificial neural networks; data mining; pattern recognition; data fusion; multiagents system; multimedia; knowledge management; decision making; software engineering; database management system; Internet applications; Web engineering; QoS management.

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A novel two-steps strategy for automatic GIS-image registration

A novel two-steps strategy for automatic GIS-image registrat...

引用

IEEE International conference on image processing

作者： Zhanwu Yu V. Prinet Chunhong Pan PinXiang Chen Sino-French Research Laboratory (LIAMA) & National Laboratory of Pattern Recognition (NLPR) Institute of Automation Chinese Academy and Sciences Beijing China Beijing Institute of Survey and Mapping Beijing China

In this paper, we propose a registration method between GIS data and high-resolution satellite images of urban scenes. Our approach consists of two steps: firstly, the urban straight main road features in images are extracted by combining their spectral information with a geometric constraint. Then, by exploiting the frequency spectrum property of linear stripe regions, we perform matching of the road layer of geographic information data and feature images using a new FFT-based algorithm. The significant advantage of the approach is its capability to match the rotated and scaled images robustly even when they have a large scale change or obvious geometric differences. Experimental results demonstrate the robustness and efficiency of the method.

关键词： Roads Computational Intelligence Society Feature extraction Data mining Robustness remote sensing Satellites Layout Frequency Large-scale systems

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Super resolution remote sensing image processing Algorithm Based on Wavelet Transform and Interpolation

Super resolution Remote Sensing Image Processing Algorithm B...

引用

conference on image processing and pattern recognition in remote sensing

作者： Tao, HJ Tang, XJ Liu, J Tian, JW Wuhan Univ Technol Wuhan 430063 Peoples R China

ISBN: (纸本)081944684X

According to characteristic of image wavelet transform and interpolation, this paper proposes an remote sensing image interpolation method combining wavelet transform and interpolation algorithm, which can improve the remote sensing image resolution. Experiments show that the algorithm can properly retain abundant high frequency information in original remote sensing image. After interpolation processing and wavelet reconstruction, we can obtain an remote sensing image with higher resolution, better visual effect, higher Signal Noise Ratio (SNR), more detail information and no apparent warp. Therefore, this algorithm is an effective method of super-resolution remote sensing image processing.

关键词： wavelet transform interpolation remote sensing image processing super resolution

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Survey of transform methods in remote sensing information processing

Survey of transform methods in remote sensing information pr...

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conference on image and Signal processing for remote sensing ViiI

作者： Chen, CH SE Massachusetts Univ Dept Elect & Comp Engn N Dartmouth MA 02747 USA

ISBN: (纸本)081944667X

One unique feature in the remote sensing problems is that a significant amount of data are available, from which desired information must be extracted. Transform methods offer effective procedures to derive the most significant information for further processing or human interpretation and to extract important features for pattern classificaiton. In this paper a survey of the use of major transforms in remote sensing is presented. These transforms have significant effects on pattern recognition as features derived from orthogonal or related transforms tend to be very effective for classification, and on data reduction and compression. After the introduction, we will examine the empirical orthogonal function, the discrete Karhunen-Loeve transform and related transforms, the wavelet transform, and the component analysis.

关键词： remote sensing Independent component analysis Principal component analysis Wavelets Wavelet transforms Data processing image enhancement image classification Feature extraction Statistical analysis

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Proceedings of SPIE: image processing and pattern recognition in remote sensing

Proceedings of SPIE: Image processing and pattern recognitio...

引用

image processing and pattern recognition in remote sensing

The proceedings contains 40 papers from the conference on Proceedings of SPIE: image processing and pattern recognition in remote sensing. The topics discussed include: image fusion of Hyperion and Ikonos imagery;managing and distributing remote sensing images based on metadata;new intensity interpolation for resampling of remote sensing imagery;and line extraction in multispectral images.

关键词： remote sensing

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