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检索条件"任意字段=Conference on Image Processing and Pattern Recognition in Remote Sensing"

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Error analysis and improvements of Spectral Angle Mapper (SAM) model

Error analysis and improvements of Spectral Angle Mapper (SA...

引用

MIPPR 2005: SAR and Multispectral image processing

作者： Du, Peijun Chen, Yunhao Fang, Tao Tang, Hong Department of RS and GISCi China University of Mining and Technology Xuzhou City Jiangsu Province 221008 China College of Resources Science Beijing Normal University Beijing 100875 Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai 200030 China

Spectral Angle Mapper (SAM) model has got wide applications in hyperspectral remote sensing (RS) information processing. But Spectral Angle couldn't achieve satisfied performance in some cases because of its sensitivity to noises and uncertainty. Based on the analysis to traditional SAM algorithm, four types of errors and their impacts to spectral angle are investigated. In order to reduce the impacts of above errors, some improved algorithms are proposed and experimented. The first improved algorithm is grouping spectral angle algorithm. In this new algorithm all bands are divided into two sets by odd and even bands, that means two additional sub-vectors are created in addition to the original spectral vector. So three spectral angles will be computed and the minimum of three indexes is used as final index. The second improved algorithm is normalized spectral angle. In this way spectral angle is computed to the normalized vectors of two original vectors. Two approaches are used to normalize the spectral vector, and spectral angle is computed to the normalized vectors. This algorithm is able to decrease the impacts of random errors. The third algorithm is intersected spectral angle. Spectral angle is calculated by a spectral displacement strategy in this approach. That means a given displacement to change the corresponding bands of two spectral vectors is used and a spectral angle to the displaced vectors will be got. By this displacement strategy the impacts of band offset is reduced. Finally some experiments are used to test those improved algorithms. It proves that those new approaches can reduce and control the errors and improve the precision and reliability of similarity measure.

关键词： remote sensing

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Textural kernel for SVM classification in remote sensing: application to forest fire detection and urban area extraction

Textural kernel for SVM classification in remote sensing: ap...

引用

IEEE International conference on image processing

作者： F. Lafarge X. Descombes J. Zerubia Ariana Project INRIA Sophia-Antipolis France

We present a textural kernel for "support vector machines" classification applied to remote sensing problems. SVMs constitute a method of supervised classification well adapted to deal with data of high dimension, such as images. We introduce kernel functions in order to favor the distinction between our class of interest and the other classes: it gives information of similarity. In our case this similarity is based on radiometric and textural characteristics. One of the main difficulties is to elaborate textural parameters which are relevant and characterize as well as possible the joint distribution of a set of connected pixels. We apply this method to remote sensing problems: the detection of forest fires and the extraction of urban areas in high resolution images.

关键词： Kernel Support vector machines Support vector machine classification remote sensing Fires Urban areas Radiometry Data mining image resolution pattern recognition

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Spaceborne traffic monitoring with dual channel synthetic aperture radar - Theory and experiments

Spaceborne traffic monitoring with dual channel synthetic ap...

引用

2005 IEEE Computer Society conference on Computer Vision and pattern recognition, CVPR 2005 - Workshops

作者： Hinz, Stefan Meyer, Franz Laika, Andreas Bamler, Richard Remote Sensing Technology Technische Universitaet Muenchen Arcisstr. 21 MuenchenD-80333 Germany Oberpfaffenhofen WesslingD-82234 Germany

ISBN: (纸本)0769526608

This paper revises the theoretical background for upcoming dual-channel Radar satellite missions to monitor traffic from space. As it is well-known, an object moving with a velocity deviating from the assumptions incorporated in the focusing process will generally appear both displaced and blurred in the azimuth direction. To study the impact of these (and related) distortions in focused SAR images, the analytic relations between an arbitrarily moving point scatterer and its conjugate in the SAR image have been reviewed and adapted to dual-channel satellite specifications. To be able to monitor traffic under these boundary conditions in real-life situations, a specific detection scheme is proposed. This scheme integrates complementary detection and velocity estimation algorithms with knowledge derived from external sources as, e.g., road databases. © 2005 IEEE Computer Society. All rights reserved.

关键词： Synthetic aperture radar

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A web-based automated dental identification system (webADIS)

A web-based automated dental identification system (webADIS)

引用

5th International Business Information Management Association conference, IBIMA 2005

作者： Chekuri, Satyasrinivas Nassar, Diaa Eldin M. Abaza, Ayman A. Bahu, Ali Ammar, Hany H. Fahmy, Gamal Lane Dept. of CSEE West Virginia University P.O. Box 6109 Morgantown WV 26506 United States Dept. of Electrical Engineering Assiut University Assiut Egypt

ISBN: (纸本)0975339346

Automating the process of postmortem identification of individuals using dental records is receiving increased attention. In developing a research prototype of an Automated Dental Identification System (ADIS), research teams from multiple institutes collaborated with forensic experts from the US Federal Bureau of Investigation (FBI) to identify the functional requirements of ADIS. A multitude of digital image processing and pattern recognition techniques were developed to meet the requirements of the constituent components of ADIS. In this paper we present a web-based environment that integrates ADIS components and provides a unified web interface to ADIS (webADIS), thus facilitating remote access to ADIS and also allowing for the choice among multiple possible realizations of some components as well as alternative identification strategies.

关键词： image processing

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A probabilistic approach for shadows modeling and detection

A probabilistic approach for shadows modeling and detection

引用

IEEE International conference on image processing

作者： N. Bouguila D. Ziou Université de Sherbrook Sherbrooke QUE Canada

The performance of a statistical image processing system depends in large part on the accuracy of the probabilistic model used. This paper presents a robust probabilistic mixture model based on the Dirichlet distribution. An unsupervised algorithm based on MML for learning this mixture is given, too. Experimental results involve shadows modeling and its application to shadows detection in images.

关键词： image processing pattern recognition Mathematical model Robustness Machine learning algorithms Power system modeling Machine learning remote sensing Probability Unsupervised learning

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Investigations into the analysis of remote sensing images with a growing neural gas pattern recognition algorithm

Investigations into the analysis of remote sensing images wi...

引用

International Joint conference on Neural Networks (IJCNN)

作者： K. Lalonde Institute of Atmospheric Sciences South Dakota School of Mines and Technology SD USA

The growing neural gas (GNG) pattern recognition algorithm is an unsupervised algorithm which inserts nodes into the state space of the training data. Observations of the behavior of the algorithm lead to the hypothesis that this method may be an efficient pre-classification clustering algorithm for data in highly discrete state spaces, as in satellite remote sensing images. The GNG algorithm was used to train a network using a Landsat image from Wyoming. The initial results of this investigation were extremely positive. The image derived from the trained GNG network is difficult to distinguish from the source image. Preliminary statistical results also indicate a high degree of correlation between the source and resultant images.

关键词： image analysis pattern analysis Algorithm design and analysis remote sensing pattern recognition Clustering algorithms State-space methods Satellites Space technology Cities and towns

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Fuzzy Models and Algorithms for pattern recognition and image processing 1

引用

丛书名： The handbooks of fuzzy sets series

2005年

作者： Keller, James Krisnapuram, Raghu Pal, Nikhil R.

ISBN: (纸本)9780387245157

Fuzzy Models and Algorithms for pattern recognition and image processing presents a comprehensive introduction of the use of fuzzy models in pattern recognition and selected topics in image processing and computer vision. Unique to this volume in the Kluwer Handbooks of Fuzzy Sets Series is the fact that this book was written in its entirety by its four authors. A single notation, presentation style, and purpose are used throughout. The result is an extensive unified treatment of many fuzzy models for pattern recognition. The main topics are clustering and classifier design, with extensive material on feature analysis relational clustering, image processing and computer vision. Also included are numerous figures, images and numerical examples that illustrate the use of various models involving applications in medicine, character and word recognition, remote sensing, military image analysis, and industrial engineering.

关键词： Optical pattern recognition Fuzzy algorithms Cluster analysis image processing Computer vision

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The building recognition of high resolution satellite remote sensing image based on wavelet analysis

The building recognition of high resolution satellite remote...

引用

International conference on Machine Learning and Cybernetics (ICMLC)

作者： Qi-Ming Qin Si-Jin Chen Wen-Jun Wang De-Zhi Chen Lin Wang Institute of Remote Sensing and GIS Peking University Beijing China Department of Communication Engineering Yanshan University슠 Qinhuangdao Hebei China

This paper imported wavelet analysis and wavelet descriptor into the building recognition of high resolution satellite remote sensing image, and brought forward the building recognition method based on wavelet descriptor in theory: firstly used wavelet analysis to do image segmentation in order to wipe off the large blocks of vegetation area in the image, then used dyadic wavelet to extract the edge, and used coordinate wavelet descriptor to describe the detected building contour, after that, computed the affine invariants to recognize the buildings, at last employed shadow validating to ascertain if the detected edge was the real building edge. This paper also constructed the building recognition pattern database, and used a QuickBird RS image of Peking University to do the experiment and the experimental result proved the feasibility of the method.

关键词： image recognition image resolution Satellites remote sensing Wavelet analysis image analysis image edge detection Buildings image segmentation Vegetation mapping

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Skew estimation for scanned documents from "noises"

Skew estimation for scanned documents from "noises"

引用

8th International conference on Document Analysis and recognition

作者： Yuan, Bo Tan, Chew Lim Centre for Remote Imaging Sensing and Processing National University of Singapore Department of Computer Science School of Computing National University of Singapore

ISBN: (纸本)0769524206

The vast majority of the published skew estimation methods for scanned document images are for textual documents. These methods are based on the principle that the skew angles can be derived from the presence of the obvious text lines, The non-textual objects, such as line drawings, photographic inserts, scan artifacts including the dark bars around the borders and the center spine of bounded materials, and media contaminations are considered as "noises", thus are subject to elimination. Skew estimators that work in the presence of excessive noises are considered robust. This paper presents a skew estimation method that is based on the straight lines or edges. It uses the Muff Transform [15] with a probe-line mapping scheme for feature identification. Various strategies for optimized line probing are devised. This method is applicable to both textual and graphical documents scanned with ordinary scanners or copiers under normal conditions. Selected images from the University of Washington English Document image Database I (UWDB-I) are used for its usability evaluation. © 2005 IEEE.

关键词： Information retrieval

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Semantic discriminant mapping for classification and browsing of remote sensing textures and objects

Semantic discriminant mapping for classification and browsin...

引用

IEEE International conference on image processing

作者： J. Fauqueur N. Kingsbury R. Anderson Signal Processing Group Department of Engineering University of Cambridge UK

We present a new approach based on discriminant analysis to map a high dimensional image feature space onto a subspace which has the following advantages: 1) each dimension corresponds to a semantic likelihood, 2) an efficient and simple multiclass classifier is proposed and 3) it is low dimensional. This mapping is learnt from a given set of labeled images with a class groundtruth. In the new space a classifier is naturally derived which performs as well as a linear SVM. We show that projecting images in this new space provides a database browsing tool which is meaningful to the user. Results are presented on a remote sensing database with eight classes, made available online. The output semantic space is a low dimensional feature space which opens perspectives for other recognition tasks.

关键词： remote sensing image databases Vegetation mapping Spatial databases Visual databases image recognition Signal processing image analysis image texture analysis Signal analysis

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