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检索条件"主题词=Algorithm Development"

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GENERATION OF SYNTHETIC REMOTE FTIR INTERFEROGRAMS

GENERATION OF SYNTHETIC REMOTE FTIR INTERFEROGRAMS

引用

Conference on Optical Instrumentation for Gas Emissions Monitoring and Atmospheric Measurements

作者： GRIM, L GRUBER, TC DITILLO, J MESH INC OXFORDPA 19363

ISBN: (纸本)0819417122

development of chemical detection algorithms for open-path FTIR is complicated due to the restricted release of the target compounds. The testing and verification of these algorithms are often impossible since the toxic target compounds can never be released outside the laboratory. A method of generating synthetic FTIR data by introduction of laboratory absorbance spectra into previously collected clean reference backgrounds facilitates this algorithm testing. A method of synthesizing `field grade' spectra has several additional advantages over actual open air releases. The cost of synthetic data is insignificant compared to the cost of data collected at actual open air releases. Unlike open air releases, the synthetic data's concentration pathlength (CL) and cloud temperature (Tc) are precisely known and easily modified. This capability makes it possible to evaluate the precise limit of detection for each of the algorithms being considered. This method works equally well for passive FTIR (using natural radiation as the source) or active FTIR (using a hot source). It is shown that synthetic spectra and real spectra of a target cloud at the same concentration pathlength and cloud temperature are in good agreement.

关键词： Clouds FT-IR spectroscopy Chemical detection Detection and tracking algorithms Black bodies Absorption algorithm development Fourier transforms Interferometers Absorbance

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Resolution enhancement and sampling with wavelets and footprints

Resolution enhancement and sampling with wavelets and footpr...

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Wavelets - Applications in Signal and Image Processing X Conference

作者： Dragotti, PL Vetterli, M Univ London Imperial Coll Sci Technol & Med London SW7 2BT England

ISBN: (纸本)0819450804

In this paper, we consider classes of not bandlimited signals, namely, streams of Diracs and piecewise polynomial signals, and show that these signals can be sampled and perfectly reconstructed using wavelets as sampling kernel. Due to the multiresolution structure of the wavelet transform, these new sampling theorems naturally lead to the development of a new resolution enhancement algorithm based on wavelet footprints.(2) Preliminary results show that this algorithm is also very resilient to noise.

关键词： Wavelets Resolution enhancement technologies Reconstruction algorithms algorithm development Wavelet transforms algorithms Electronic filtering Filtering (signal processing) Interference (communication) Signal to noise ratio

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Localized construction of aggregation trees in sensor networks

Localized construction of aggregation trees in sensor networ...

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Conference on Intelligent Computing - Theory and Applications VI

作者： Kalyan, Andra Bhatnagar, Raj Univ Cincinnati ECECS Dept Cincinnati OH 45221 USA

ISBN: (纸本)9780819471529

Sensor networks are fast-emerging as a powerful technology for many distributed surveillance and monitoring applications. The crux of these applications lies in being able to compute various global characteristics, like contour, trajectory, direction, velocity etc., of mobile phenomena. In this paper, we present algorithms based on in-network aggregation to efficiently compute these global characteristics of phenomena by representing them as functions amenable to in-network processing, at a very low communication cost. We present two versions of these algorithms one for post-event querying and the other for real-time warnings and include simulation results for all our algorithms.

关键词： Sensors Sensor networks Computer simulations Statistical analysis Data communications Surveillance algorithm development Diffusion Clouds Geographic information systems

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Multispectral imaging burn wound tissue classification system: a comparison of test accuracies between several common machine learning algorithms

Multispectral imaging burn wound tissue classification syste...

引用

Conference on Medical Imaging - Computer-Aided Diagnosis

作者： Squiers, John J. Li, Weizhi King, Darlene R. Mo, Weirong Zhang, Xu Lu, Yang Sellke, Eric W. Fan, Wensheng DiMaio, J. Michael Thatcher, Jeffery E. Spectral MD Inc 2515 McKinney Ave Suite 1000 Dallas TX 75201 USA Baylor Scott & White Hlth Syst Baylor Res Inst Dallas TX USA

ISBN: (纸本)9781510600201

The clinical judgment of expert burn surgeons is currently the standard on which diagnostic and therapeutic decision-making regarding burn injuries is based. Multispectral imaging (MSI) has the potential to increase the accuracy of burn depth assessment and the intraoperative identification of viable wound bed during surgical debridement of burn injuries. A highly accurate classification model must be developed using machine-learning techniques in order to translate MSI data into clinically-relevant information. An animal burn model was developed to build an MSI training database and to study the burn tissue classification ability of several models trained via common machine-learning algorithms. The algorithms tested, from least to most complex, were: K-nearest neighbors (KNN), decision tree (DT), linear discriminant analysis (LDA), weighted linear discriminant analysis (W-LDA), quadratic discriminant analysis (QDA), ensemble linear discriminant analysis (EN-LDA), ensemble K-nearest neighbors (EN-KNN), and ensemble decision tree (EN-DT). After the ground-truth database of six tissue types (healthy skin, wound bed, blood, hyperemia, partial injury, full injury) was generated by histopathological analysis, we used 10-fold cross validation to compare the algorithms' performances based on their accuracies in classifying data against the ground truth, and each algorithm was tested 100 times. The mean test accuracy of the algorithms were KNN 68.3%, DT 61.5%, LDA 70.5%, W-LDA 68.1%, QDA 68.9%, EN-LDA 56.8%, EN-KNN 49.7%, and EN-DT 36.5%. LDA had the highest test accuracy, reflecting the bias-variance tradeoff over the range of complexities inherent to the algorithms tested. Several algorithms were able to match the current standard in burn tissue classification, the clinical judgment of expert burn surgeons. These results will guide further development of an MSI burn tissue classification system. Given that there are few surgeons and facilities specializing in burn care, t

关键词： machine learning multispectral imaging algorithm development burns tissue classification

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HYPERSPECTRAL IMAGE CODING USING WAVELET TRANSFORMS AND TRELLIS CODED QUANTIZATION 2

HYPERSPECTRAL IMAGE CODING USING WAVELET TRANSFORMS AND TREL...

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2nd Conference on Wavelet Applications

作者： ABOUSLEMAN, GP HUGHES SPACE & COMMUN LOS ANGELESCA 90009

ISBN: (纸本)0819418447

A system is presented for compression of hyperspectral imagery. Specifically, DPCM is used for spectral decorrelation, while a 2-D discrete wavelet coding scheme is used for spatial decorrelation. Trellis coded quantization is used to encode the wavelet coefficients. Side information and rate allocation strategies are discussed. Entropy-constrained codebooks are designed using a modified version of the generalized Lloyd algorithm. This entropy constrained system achieves a compression ratio of greater than 70:1 with an average PSNR of the coded hyperspectral sequence approaching 41 dB.

关键词： Wavelets Computer programming Quantization Hyperspectral imaging Image compression Discrete wavelet transforms Linear filtering Vector spaces Wavelet transforms algorithm development

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NOVEL UNSUPERVISED MULTIRESOLUTION TEXTURE SEGMENTATION APPROACH

NOVEL UNSUPERVISED MULTIRESOLUTION TEXTURE SEGMENTATION APPR...

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Conference on Characterization and Propagation of Sources and Backgrounds

作者： SHIRVAIKAR, MV TRIVEDI, MM UNIV TENNESSEE DEPT ELECT & COMP ENGNCOMP VIS & ROBOT RES LABKNOXVILLETN 37996

ISBN: (纸本)0819415278

Image texture plays a vital role in the segmentation process. A novel unsupervised segmentation approach based on multiresolution cooperative texture model computation is developed. The multiresolution segmentation approach is based on the observation that the human visual system utilizes relatively `global' information about an image in conjunction with `local' information to reach segmentation decisions. The texture model developed is based on sets of gray level co-occurrence matrices rather than measures extracted from them. The concept of multiresolution associated region (MAR) is developed for pyramid schemes. The other algorithmic constituents for the segmentation scheme such as normalized match distances between texture models, region homogeneity criteria with extensions to MARs, are systematically developed. The MAR aggregation rule is utilized to perform segmentation decisions at the base resolution level. The segmentation strategy was tested extensively on natural texture mosaics as well as on real scenes and the results are analytically presented. An important observation was that smaller texture models at multiple resolutions performed better than a very large texture model at single resolution.

关键词： Image segmentation Image processing algorithm development Matrices Visual system

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PROBABILISTIC MODELING OF SURFACES

PROBABILISTIC MODELING OF SURFACES

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CONF ON GEOMETRIC METHODS IN COMPUTER VISION

作者： SZELISKI, R Digital Equipment Corp. (United States)

ISBN: (纸本)0819406988

Energy-based surface models are commonly used in computer vision to interpolate sparse data, to smooth noisy depth estimates, and to integrate measurements from multiple sensors and viewpoints. Traditionally, a single surface estimate is produced with such models. Probabilistic surface modeling, which describes distributions over possible surfaces, enables us to integrate such measurements in a statistically optimal fashion, to model the uncertainty in the surfaces, and to develop sequential estimation algorithms. When applied to 2-1/2-D surfaces, probabilistic modeling allows us to incrementally estimate depth maps from motion image sequences and to integrate sparse range data using elevation maps. How to jointly model depth and intensity images to obtain more accurate models of depth, is shown. To better represent the structure of the visual world, full 3-D surface models must be used. These are usually represented using parametric surfaces, which can create difficulties when the surface topology is unknown. To overcome these problems, an incremental patch-based 3-D surface estimation algorithm is developed. Surface and feature-based methods are compared and a unified representation which encompasses both methods is proposed.

关键词： 3D modeling Visual process modeling Data modeling Motion models algorithm development Computer vision technology Machine vision Sensors Filtering (signal processing) Statistical modeling

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Contributions to potassium and ammonium ion-selective optodes based on valinomycin, nonactin and 1,1-dimethylsila-20-crown-7

Contributions to potassium and ammonium ion-selective optode...

引用

Conference on Chemical, Biochemical and Environmental Fiber Sensors VII

作者： POLSTER, J PRESTEL, G WOLLENWEBER, M CZERNEY, P TECH UNIV MUNCHEN WEIHENSTEPHAN LEHRSTUHL ALLGEMEINE CHEM & BIOCHEMD-85350 FREISINGGERMANY

ISBN: (纸本)0819418668

Valinomycin, nonactin and 1,1-dimethylsila-20-crown-7 are well known complexing agents for potassium and ammonium ions. Membrane optodes, based on these ion-selective carriers and appropriate chromoionophores, were produced and spectroscopically investigated in the range of 350-700 nm. The spectra of optodes obtained under flow injection analysis conditions were monitored in dependence on time. The calibration curves for potassium and ammonium ions were registered for each optode. The results clearly demonstrate that all tested optodes are both similarly sensitive to K⁺ and NH₄⁺. Thus, biological fluids can not be analyzed simply by the individual calibration curves when the solutions contain similar amounts of K⁺ and NH₄⁺.

关键词： Potassium Calibration Ions Sensors Spectroscopy Biological research algorithm development Diodes Magnesium Polymers

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INTEGRATED GUIDED-WAVE CROSSBAR INTERCONNECTION OF SEED ARRAYS

INTEGRATED GUIDED-WAVE CROSSBAR INTERCONNECTION OF SEED ARRA...

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CONF ON OPTOELECTRONIC INTERCONNECTS

作者： SCHNEIDER, EG MICHALSON, WR Worcester Polytechnic Institute (United States)

ISBN: (纸本)0819410756

A unique architecture has been developed for a compact programmable optoelectronic logic array. The system is comprised of two arrays of symmetric self electro-optic effect devices (S- SEED) and a 3 dimensional integrated guided-wave crossbar interconnection network. Presently emerging technologies would allow densities of a few hundred thousand S-SEEDs, connected in a wide sense nonblocking manner, per cubic inch. Such arbitrary connectivity, in effect a `virtual 3-D hologram,' would allow execution of complex logic functions.

关键词： Switches Logic Waveguides Holograms Optoelectronics Clocks algorithm development Network architectures Semiconducting wafers Optical computing

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An algorithm for Segmenting Polarimetric SAR Imagery 19

An Algorithm for Segmenting Polarimetric SAR Imagery

引用

Conference on Radar Sensor Technology XIX;and Active and Passive Signatures VI

作者： Geaga, Jorge V. Consultant (United States)

ISBN: (纸本)9781628415773

We have developed an algorithm for segmenting fully polarimetric single look TerraSAR-X, multilook SIR-C and 7 band Landsat 5 imagery using neural nets. The algorithm uses a feedforward neural net with one hidden layer to segment different surface classes. The weights are refined through an iterative filtering process characteristic of a relaxation process. Features selected from studies of fully polarimetric complex single look TerraSAR-X data and multilook SIR-C data are used as input to the net. The seven bands from Landsat 5 data are used as input for the Landsat neural net. The Cloude-Pottier incoherent decomposition is used to investigate the physical basis of the polarimetric SAR data segmentation. The segmentation of a SIR-C ocean surface scene into four classes is presented. This segmentation algorithm could be a very useful tool for investigating complex polarimetric SAR phenomena.

关键词： Image segmentation Polarimetry L band Neural networks Scattering Synthetic aperture radar Earth observing sensors Landsat algorithm development Polarization

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