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Robust Doppler classification technique based on hidden Markov models

IEE PROCEEDINGS-RADAR SONAR AND NAVIGATION 2003年第1期150卷 33-36页

作者： Jahangir, M Ponting, KM O'Loghlen, JW QinetiQ Ltd Malvern WR14 3PS Worcs England 20 20 Speech Ltd Malvern WR14 3SZ Worcs England

A classification algorithm is presented that uses hidden Markov models (HMMs) to carry out recognition between three classes of targets: personnel, tracked vehicles and wheeled vehicles. It exploits the time-varying nature of radar Doppler data in a manner similar to techniques used in speech recognition, albeit with a modified topology, to distinguish targets with different Doppler characteristics. The algorithm was trained and tested on real radar signatures of multiple examples of moving targets from each class, and the performance was shown to be invariant to target speed and orientation and was able to be generalised with respect to variants within a class.

关键词： vehicle sorting algorithm variants time varying Targets Doppler effect Speech recognition radar signatures Invariant tracked vehicles Hidden Markov models Doppler radar

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Structure of chain aggregates in ferrocolloids

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COLLOID JOURNAL 2003年第2期65卷 166-176页

作者： Ivanov, AO Kantorovich, SS Ural State Univ Ekaterinburg 620083 Russia

The structure of chain aggregates in polydisperse ferrocolloids is considered. The chain distribution over the number of constituent particles is investigated on the basis of the method of heterophase fluctuations. The polydispersity of ferrofluids is taken into account within the frameworks of two-fraction model suggesting the presence of a large number of small particles and a small number of large particles. The sorting algorithm of chain structures with various energies is presented. It is shown that, in real ferrofluids, the most probable are the chains composed of large particles with one or two small particles at the edges. The model predicts that the most of large particles are bonded into short chain aggregates whose average length consists of two or three particles at room temperature.

关键词： Ferrofluids sorting algorithm Frameworks CHAIN DISTRIBUTION mean length

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The use of multi-temporal Landsat Normalized Difference Vegetation Index (NDVI) data for mapping fuel models in Yosemite National Park, USA

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INTERNATIONAL JOURNAL OF REMOTE SENSING 2003年第8期24卷 1639-1651页

作者： Van Wagtendonk, JW Root, RR US Geol Survey Western Ecol Res Ctr Yosemite Field Stn El Portal CA 95318 USA US Geol Survey Rocky Mt Mapping Ctr Denver Fed Ctr Denver CO 80225 USA

The objective of this study was to test the applicability of using Normalized Difference Vegetation Index (NDVI) values derived from a temporal sequence of six Landsat Thematic Mapper (TM) scenes to map fuel models for Yosemite National Park, USA. An unsupervised classification algorithm was used to define 30 unique spectral-temporal classes of NDVI values. A combination of graphical, statistical and visual techniques was used to characterize the 30 classes and identify those that responded similarly and could be combined into fuel models. The final classification of fuel models included six different types: short annual and perennial grasses, tall perennial grasses, medium brush and evergreen hardwoods, short-needled conifers with no heavy fuels, long-needled conifers and deciduous hardwoods, and short-needled conifers with a component of heavy fuels. The NDVI, when analysed over a season of phenologically distinct periods along with ancillary data, can elicit information necessary to distinguish fuel model types. Fuels information derived from remote sensors has proven to be useful for initial classification of fuels and has been applied to fire management situations on the ground.

关键词： EVERGREEN Yosemite National Park heavy oil Fuel models Conifers Remote sensing equipment ancillary data normalized difference vegetation index sorting algorithm

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A systematic method based on statistical pattern recognition for estimating product quality on-line

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Journal of University of Science and Technology Beijing 2003年第1期10卷 69-73页

作者： Guang Li, Huade Li, Shaoyuan Sun, and Zhengguang XuInformation Engineering School, University of Science and Technology Beijing, Beijing 100083, China Information Engineering School University of Science and Technology Beijing Beijing 100083 China

To avoid the complexity of building mechanistic models by studying the inner nature of the object, a systematic method based on statistical pattern recognition is developed in order to estimate the product quality on-line. The mapping relationship between a feature space and a product quality space can be built by using regression analysis, and in applying clustering analysis the product quality space can be partitioned automatically. Eventually, estimating product quality on-line can be accomplished by sorting the mapped data in the partitioned quality space. A concrete problem is proposed which has a relatively small ratio of training data to input variables. By implementing the method mentioned above, a satisfying result has been achieved. Furthermore, the further question about choosing suitable mapping methods is briefly discussed.

关键词： pattern recognition regression analysis clustering analysis ISODATA algorithm sorting algorithm

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MBGD: microbial genome database for comparative analysis

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NUCLEIC ACIDS RESEARCH 2003年第1期31卷 58-62页

作者： Uchiyama, I Okazaki Natl Res Inst Res Ctr Computat Sci Okazaki Aichi 4448585 Japan

MBGD is a workbench system for comparative analysis of completely sequenced microbial genomes. The central function of MBGD is to create an orthologous gene classification table using precomputed all-against-all similarity relationships among genes in multiple genomes. In MBGD, an automated classification algorithm has been implemented so that users can create their own classification table by specifying a set of organisms and parameters. This feature is especially useful when the user's interest is focused on some taxonomically related organisms. The created classification table is stored into the database and can be explored combining with the data of individual genomes as well as similarity relationships among genomes. Using these data, users can carry out comparative analyses from various points of view, such as phylogenetic pattern analysis, gene order comparison and detailed gene structure comparison. MBGD is accessible at http://***/.

关键词： Genome sorting algorithm Genes Genomics Gene Order Workbenches Database

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Fast sorting algorithms on a linear array with a reconfigurable pipelined bus system

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IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS 2002年第3期13卷 212-222页

作者： Datta, A Soundaralakshmi, S Owens, R Univ Western Australia Dept Comp Sci & Software Engn Perth WA 6907 Australia

We present two fast algorithms for sorting on a linear array with a reconfigurable pipelined bus system (LARPBS), one of the recently proposed parallel architectures based on optical buses. In our first algorithm, we sort V numbers in O(log N log log N) worst-case time using N processors. In our second algorithm, we sort N numbers in O((log log N)(2)) worst-case time using N1+epsilon processors, for any fixed epsilon such that 0algorithms are based on a novel deterministic sampling scheme for merging two sorted arrays of length N each in O(log log N) time on an LARPBS with N processors. To our knowledge, the previous best sorting algorithm on this architecture has a running time of O ((log N)(2)) using N processors.

关键词： reconfigurable bus optical bus pipelined communication deterministic sampling merging sorting algorithm

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A lossless image compression for medical images based on hierarchical sorting technique

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IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS 2002年第1期E85D卷 108-114页

作者： Myojoyama, A Yamamoto, T Hokkaido Univ Grad Sch Engn Sapporo Hokkaido 0608628 Japan

We propose new lossless medical image compression method based on hierarchical sorting technique. Hierarchical sorting is a technique to achieve high compression ratio by detecting the regions where image pattern varies abruptly and sorting pixel order by its value to increase predictability. In this method, we can control sorting accuracy along with size and complexity. As the result, we can reduce the sizes of the permutation-tables and rouse the tables to other image regions. Comparison using experimental implementation of this method shows better performance for medical image set measured by X-ray CT and MRI instruments where similar sub-block patterns appear frequently. This technique applies quad-tree division method to divide an image to blocks in order to support progressive decoding and fast preview of large images.

关键词： lossless compression medical images sorting algorithm hierarchical coding

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Regional vegetation mapping and direct land surface parameterization from remotely sensed and site data

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INTERNATIONAL JOURNAL OF REMOTE SENSING 2002年第6期23卷 1125-1142页

作者： Muchoney, D Strahler, A Boston Univ Dept Geog Ctr Remote Sensing Boston MA 02215 USA

Given the ability to define vegetation and land cover at the site level based on attributes such as physiognomy, horizontal and vertical structure, vegetation phenology and leaf morphology, direct parameterization and mapping using remotely sensed data can enhance the ability to characterize and monitor these important biogeophysical parameters. This research reports on the integrated analysis of site and remote sensing data to directly predict and map land surface biophysical parameters relating to structure, morphology, phenology and physiognomy, as an alternative to using intermediate classification categorizations to relate these site variables/parameters to remote sensing features. Correlation analyses were performed with the objective of finding appropriate remote sensing features to discriminate site variables/parameters, given site-level biogeophysical and ecological information. The direct parameterization technique that best predicted regional vegetation parameters was the Gaussian ARTMAP neural network supervised classification algorithm.

关键词： Gaussian ARTMAP remote-sensing data sorting algorithm remote sensing vegetation leaf morphology Anatomic Site land cover vegetation mapping Land surface Physiognomy parameterization

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Quicksort asymptotics

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JOURNAL OF algorithmS 2002年第1期44卷 4-28页

作者： Fill, JA Janson, S Johns Hopkins Univ Dept Math Sci Baltimore MD 21218 USA Univ Uppsala Dept Math S-75105 Uppsala Sweden

The number of comparisons X, used by Quicksort to sort an array of it distinct numbers has mean mu(n) of order n log n and standard deviation of order it. Using different methods, Regnier and Rosler each showed that the normalized variate Y-n := (X-n - mu(n))/n converges in distribution, say to Y;the distribution of Y can be characterized as the unique fixed point with zero mean of a certain distributional trans formal ion. We provide the first rates of convergence for the distribution of Y-n to that of F, using various metrics. In particular, we establish the bound 2n(-1/2) in the d(2)-metric, and the rate O(n(epsilon-(1/2))) for Kolmogorov-Smirnov distance, for any positive (C) 2002 Elsevier Science (USA). All rights reserved.

关键词： Quicksort sorting algorithm asymptotics limit distribution rate of convergence Kolmogorov-Smirnov distance density moment generating function numerical analysis d(p)-metric coupling

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Lossless compression of medical image by hierarchical sorting

Lossless compression of medical image by hierarchical sortin...

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23rd Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society

作者： Myojoyama, A Yamamoto, T Hokkaido Univ Grad Sch Engn Sapporo Hokkaido Japan

ISBN: (纸本)0780372115

We propose a new lossless compression method for medical images, based on a hierarchical sorting. Hierarchical sorting is a technique that achieves a high compression ratio by detecting the regions where image patterns change abruptly, and by sorting pixel order by value to increase predictability. This method enables control of sorting accuracy along with size and complexity. As a result, we can reduce the sizes of the permutation tables and reuse the tables for other image regions. Comparison of this method through experiment reveals better performance for medical images generated by X-ray CT, MRI and large size CR . DR instruments. This technique applies a quad-tree division method to divide an image into blocks in order to support progressive decoding and fast preview of large images.

关键词： lossless compression medical image sorting algorithm hierarchical coding

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