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Fully constrained least-squares based linear unmixing [hyperspectral image classification]

Fully constrained least-squares based linear unmixing [hyper...

引用

IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： D. Heinz C.-I. Chang M.L.G. Althouse Remote Sensing Signal and Image Processing Laboratory Department of Computer Science and Electrical Engineering University of Maryland Baltimore MD USA

A fully constrained least-squares linear unmixing approach to hyperspectral image classification is presented. It is derived from an unconstrained least-squares based orthogonal subspace projection. It is similar to a method developed by Shimabukuro and Smith (1991) in the least-squares sense, but significantly different from their method in the way of implementing the constraints. Since there is no closed form solution available, an efficient algorithm is developed for finding a fully constrained solution, which can be viewed as a generalization of Shimabukuro and Smith's method. The effectiveness of this algorithm is demonstrated through computer simulations and real data experiments.

关键词： Vectors Subspace constraints Pixel Image processing Equations Hyperspectral imaging Remote sensing signal processing Laboratories computer science

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Linearly constrained minimum variance beamforming approach to target detection and classification for hyperspectral imagery

Linearly constrained minimum variance beamforming approach t...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Chein-I Chang Hsuan Ren Remote Sensing Signal and Image Processing Laboratory Department of Computer Science and Electrical Engineering University of Maryland Baltimore MD USA

Subspace projection and maximum likelihood have been used for hyperspectral image classification. One of their disadvantages is the requirement of a priori knowledge about material signatures resident in images which may be difficult to obtain in many practical applications. In order to resolve this problem, an approach, called Constrained Energy Minimization (CEM) was developed for target detection where the only required knowledge is the target signature of interest. It was derived based on the Minimum Variance Distortionless Response (MVDR) in array processing. However, CEM has been also shown to be very sensitive to the knowledge being used to describe the target signature. This paper develops a more general approach, called Linearly Constrained Minimum Variance (LCMV) beamforming which includes CEM as a special case. Unlike CEM which considers a single constraint, LCMV uses multiple signatures to extend the capability of CEM to various target classification. More specifically, LCMV can be implemented as an estimator for target classification while CEM can be used as a detector for target detection.

关键词： Array signal processing Object detection Finite impulse response filter Hyperspectral sensors Hyperspectral imaging Nonlinear filters Image classification Vectors Power generation Layout

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Coding distortion caused by a phase difference between the LP filter and its residual

Coding distortion caused by a phase difference between the L...

引用

IEEE Workshop on Speech Coding Proceedings

作者： M. Tammi V.T. Ruoppila S. Kuusisto J. Saarinen Signal Processing Laboratory Tampere University of Technology Tampere Finland Department of Electrical and Computer Engineering University of Sherbrooke QUE Canada

Several speech coding algorithms modify the time scale of the residual signal to facilitate efficient coding of pitch information. Time scaling, however, results in a phase difference between the coded residual signal and the time-variant linear prediction (LP) filter used for synthesis in the decoder. In this paper, we examine the coding distortion induced by this phase difference. Moreover, we show that it may cause audible artifacts to the synthesized speech even if lossless coding of all parameters is employed. These artifacts occur particularly at onsets when the frequency response of successive LP filters changes rapidly. A waveform interpolation coder is used to illustrate the effects of the phase mismatch.

关键词： Phase distortion Filters Speech synthesis signal synthesis Speech coding Speech analysis Interpolation signal processing algorithms Filtering signal analysis

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Analysis of stochastic gradient identification of Hermite polynomial systems with memory

Analysis of stochastic gradient identification of Hermite po...

引用

International Symposium on signal processing and Its Applications (ISSPA)

作者： P. Celka N.J. Bershad J.M. Vesin Department of Electrical Engineering Signal Processing Laboratory Swiss Federal Institute of Technology Lausanne Switzerland Department of Electrical and Computer Engineering School of Engineering University of California Irvine CA USA

This paper presents analytical and Monte Carlo results for a stochastic gradient adaptive scheme which identifies an orthogonal polynomial-type nonlinear system with memory. The analysis includes recursions for the mean and fluctuation behavior of the adaptive parameters as well computation of the mean-square error increase due to the adaptation process.

关键词： Stochastic systems Polynomials Fluctuations Nonlinear filters Adaptive signal processing Taylor series Stochastic processes signal processing algorithms Vectors Australia

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A new approach for weighted least-square design of FIR filters

A new approach for weighted least-square design of FIR filte...

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： Wei-Ping Zhu M.O. Ahmad M.N.S. Swamy SR Telecom Inc. Kanata ONT Canada Center for Signal Processing and Communications Department of Electrical and Computer Engineering Concordia University Montreal QUE Canada

In this paper, a new approach for weighted least square (WLS) design of FIR filters is presented, in which an iterative procedure is developed for the inversion of the matrix involved in the design. By imposing a mild constraint on the update factor of the weighting function, the inverse of a matrix is expanded as a convergent power series. By exploiting the properties of some of the matrices involved in the design, a modified version of the series that converges rapidly is then proposed to evaluate the inverse in each iteration. It is shown that due to the fast convergence of the power series, one has to evaluate only the first two or three terms of the series after a few initial iterations, implying that the conventional operation for matrix inversion is simplified significantly.

关键词： Finite impulse response filter Frequency response signal processing Electronic mail signal design Convergence Design methodology Strontium Telecommunication computing Design engineering

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Maximizing channel capacity in FSK modulation systems

Maximizing channel capacity in FSK modulation systems

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： M.A. Soderstrand L. Gao E. McCune School of Electrical and Computer Engr. Oklahoma State University Stillwater OK USA Digital Signal Processing and Communications Lab Electrical and Computer Engineering Department University of California Davis CA USA

In binary FSK modulation schemes the transition between the two frequencies f/sub 0/ representing a ZERO and f/sub 1/ representing a ONE is governed by the shape of the input pulse as it makes its transition from a ZERO to a ONE. Through the use of an optimum filter, it is possible to shape the pulse in such a way as to maximize the speed of transition from f/sub 0/ to f/sub 1/ while maintaining signal energy outside of the channel to specified small levels. In this paper, we describe a procedure for finding optimum filters for several important types of FSK modulation.

关键词： Channel capacity Frequency shift keying Finite impulse response filter Radio transmitters Filtering Interference Pulse modulation Pulse shaping methods Telephony Digital signal processing

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Spectral information divergence for hyperspectral image analysis

Spectral information divergence for hyperspectral image anal...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Chein-I Chang Remote Sensing Signal and Image Processing Laboratory Department of Computer Science and Electrical Engineering University of Maryland Baltimore County Baltimore MD USA

The authors propose an information theoretic criterion, called spectral information divergence (SID) for spectral similarity and discriminability. It is derived from the concept of divergence arising in information theory and can be used to describe the statistics of a spectrum. Unlike spectral angle mapper (SAM) which extracts geometric features between two spectra, SID views each pixel spectrum as a random variable and then measures the discrepancy of probabilistic behaviors between two spectra. In order to evaluate SID, SAM is used for comparison via hyperspectral data. Experimental results show that SID can characterise spectral similarity and variability more effectively than SAM.

关键词： Hyperspectral imaging Image analysis Hyperspectral sensors Random variables Remote sensing Information theory Pixel Data mining Interference Pattern classification

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Design and implementation of narrow-band linear-phase FIR filters with piecewise polynomial impulse response

Design and implementation of narrow-band linear-phase FIR fi...

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： T. Saramaki S.K. Mitra Signal Processing Laboratory Tampere University of Technology Tampere Finland Department of Electrical and Computer Engineering University of California Santa Barbara CA USA

The transfer function of these filters is a parallel connection of several branches with transfer functions of the form G/sub l/(z/sup L/)F/sub l/(z), where the length of each F/sub l/(z) is L. It is shown that by properly selecting the F/sub l/(z)'s the overall impulse response can be divided into several blocks of L samples in such a manner that in each block the impulse response is a polynomial of a given degree. The degree is one less than the number of branches, whereas the overall length of the impulse response is N=ML, where M is the length of the G/sub l/(z)'s. Efficient implementation forms are proposed for the overall filter. Examples are included illustrating the efficiency of the proposed approach in implementing narrow-band linear-phase FIR filters.

关键词： Finite impulse response filter Narrowband Polynomials Transfer functions IIR filters Bandwidth Frequency signal processing Laboratories Digital filters

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An interference rejection-based radial basis function neural network for hyperspectral image classification

An interference rejection-based radial basis function neural...

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International Joint Conference on Neural Networks (IJCNN)

作者： Qian Du Chein-I Chang Remote Sensing Signal and Image Processing Laboratory Department of Computer Science and Electrical Engineering University of Maryland Baltimore County Baltimore MD USA

A new application for RBF neural networks in nonlinear mixed pixel classification for hyperspectral imaging is presented. It is a three-layer neural network with the input layer specified by spectral signatures of a mixed pixel vector, the hidden layer used for nonlinear mixing functions and the output layer used to produce classification results of the mixed pixel vector. A noise estimation method in conjunction with noise subspace projection is developed to reliably estimate the member of mixing materials plus interference signatures that can be used as the number of hidden nodes as well as the member of input nodes. The least-mean-square learning algorithm is applied to adjust parameters used in the hidden layer and weights of the output layers adaptively and simultaneously so as to achieve best possible performance. The performance is evaluated through a series of experiments via AVIRIS data. A comparative analysis is also conducted among various methods.

关键词： Interference Radial basis function networks Hyperspectral imaging Hyperspectral sensors Pixel Image classification Remote sensing Laboratories Image sensors Spectroscopy

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A switched-current ratio-independent algorithmic D/A converter

A switched-current ratio-independent algorithmic D/A convert...

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： S. Wang M. Omair Ahmad Philips Research Philips Electronics North America Corporation NY USA Center for Signal Processing and Communications Department of Electrical and Computer Engineering Concordia University Montreal QUE Canada

A design of switched-current ratio-independent algorithmic digital-to-analog converter is described. The converter is capable of achieving high-accuracy and high-resolution data conversion without requiring any matching of components. Since the converter operates in current mode, it does not require linear capacitors, and it is capable of working with low power supply voltages. An experimental prototype D/A converter is designed and fabricated with a standard 1.2 /spl mu/m CMOS process technology. The test results show that the D/A converter achieves an 8-bit data conversion accuracy with speed of 10 KSPS.

关键词： Switching converters Data conversion Algorithm design and analysis Digital-analog conversion Capacitors Power supplies Low voltage Prototypes CMOS process CMOS technology

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