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SPIE conference on Wavelet applications V

作者： Jones, KJ Rice Univ RIMS Lab Houston TX 77005 USA

ISBN: (纸本)081942840X

The purpose of this investigation is to apply 3-D wavelet denoising to resolve spatial, as well as spectral, data in Landsat images. The use of multiple thresholds will be extended to achieve image classification. Wavelet denoising has been shown to be effective for noise reduction in 1-D signals and 2-D images. 3-D wavelet transforms have the potential for multiresolution surface reconstruction from volume data. 3-D wavelet denoising will be applied to spatial (2-D) and spectral (1-D) data. Landsat images were produced from a multispectral scanner on Landsat satellites. Wavelet have been used to achieve some level of image classification. Finer classification can be achieved in agricultural areas because of temporal difference between crops and because of spectral differences in transmission spectra. Varying threshold should achieve image classification based on spectral difference between crops. 3-D wavelet data processing is expected to offer greater potential for improving resolution of volume data. Use of multithreshold for spectral resolution might be usefully applied to images generated by nonvisible wavelengths: radar, IR and laser radar.

关键词： wavelets denoising image processing Landsat

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Optimization of filter banks based on properties of the input signal 9

Optimization of filter banks based on properties of the inpu...

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9th European signal processing conference, EUSIPCO 1998

作者： Vaidyanathan, P.P. Dept. Electrical Engr. California Institute of Technology PasadenaCA91125 United States

Filter banks and wavelets have found applications in signal compression, noise removal, and in many other signal processing contexts. In this tutorial we review a number of recent results on the optimization of filter banks based on the knowledge of the input. The main emphasis will be the minimization of error due to subband quantization, and its connection to principal component reconstruction. Both uniform and nonuniform filter banks are considered.

关键词： Filter banks

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Application of adaptive joint time-frequency processing to ISAR image enhancement and Doppler feature extraction for targets with rotating parts

Application of adaptive joint time-frequency processing to I...

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conference on Radar processing, Technology, and applications III

作者： Wang, Y Ling, H Chen, VC Univ Texas Dept Elect & Comp Engn Austin TX 78712 USA

ISBN: (纸本)0819429171

A new methodology based on adaptive joint time-frequency processing is proposed to separate the interference due to fast rotating parts from the original ISAR image of the target. The technique entails adaptively searching for the linear chirp bases which best represent the time-frequency behavior of the signal and fully parameterizing the signal with these basis functions. The signal components due to the fast rotating part are considered to be associated with those chirp bases having large displacement and slope parameters, while the signal components due to the target body motion are represented by those chirp bases having relatively small displacement and slope parameters. By sorting these chirp bases according to their slopes and displacements, the scattering due to the fast rotating part can be separated from that due to the target body. Consequently, the image artifacts overlapping with the original image of the target can be removed and a clean ISAR image can be produced. Furthermore, useful rotation rate information contained in the Doppler signal can be extracted. Successful applications of the algorithm to numerically simulated and measurement data show the robustness of the algorithm.

关键词： ISAR imaging Doppler smearing fast rotating parts adaptive joint time-frequency processing

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Looking to build a model world: Automatic construction of static object models using computer vision

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ELECTRONICS & COMMUNICATION ENGINEERING JOURNAL 1998年第3期10卷 103-113页

作者： Illingworth, J Hilton, A Univ Surrey Sch Elect Engn Informat Technol & Math Ctr Vis Speech & Signal Proc Guildford GU2 5XH Surrey England

Recent interest in virtual reality and multimedia has provided a great impetus to the development of automatic techniques for building graphical CAD/CAM models of objects and environments by sensing reality itself. The learning of models in this way is essential, particularly in terms of production times and attaining the required high fidelity needed for many applications Research has produced techniques for extracting full 3D shape models using a variety of sensors and a spectrum of techniques. These include the use of static video cameras, mobile video cameras (e.g. walk through video), multiple camera platforms and/or specialist active range sensors (typically based on laser striping or sonar). This paper introduces the principles and methodologies underlying several of these methods and presents algorithms and examples from systems representative of three major approaches: models from silhouettes, models from active range sensors and, finally, models from passive uncalibrated video sequences.

关键词： graphical CAD/CAM models walk through video video signal processing multiple camera platform 3D shape models static video cameras production times Graphics techniques automatic construction computer vision silhouettes multimedia laser striping sonar mobile video cameras Computer vision and image processing techniques virtual reality solid modelling static object models active range sensors model world passive uncalibrated video sequences image sequences

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ISAR imaging of targets with fast rotating parts using adaptive joint time-frequency processing 5

ISAR imaging of targets with fast rotating parts using adapt...

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SPIE conference on Wavelet applications V

作者： Wang, Y Ling, H Chen, VC Univ Texas Dept Elect & Comp Engn Austin TX 78712 USA

ISBN: (纸本)081942840X

Based on the adaptive joint time-frequency processing techniques, a new methodology is proposed in this paper to separate the interference due to fast rotating parts from the original ISAR image of the target. The technique entails adaptively searching for the linear chirp bases which best represent the time-frequency behavior of the signal and fully parameterizing the signal with these basis functions. The signal components due to the fast rotating part are considered to be associated with those chirp bases having large displacement and slope parameters, while the signal components due to the target body motion are represented by those chirp bases which have relatively small displacement and slope parameters. By sorting these chirp bases according to their slopes and displacements, the scattering due to the fast rotating part can be separated from that due to the target body. Consequently, the image artifacts overlapping with the original image of the target can be well removed and a clean ISAR image can be produced. Successful applications of the algorithm to numerically simulated and measurement data show the robustness of the algorithm.

关键词： ISAR imaging Doppler smearing fast rotating parts adaptive joint time-frequency processing

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Analog spatial light modulators advances and applications

Analog spatial light modulators advances and applications

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conference on Spatial Light Modulators

作者： Serati, S Bauchert, K Boulder Nonlinear Syst Inc Boulder CO 80301 USA

ISBN: (纸本)0819427314

The performance and operation of high-speed, liquid crystal spatial light modulators are discussed in relation to a variety of system-level aspects. The issues involving the use of these devices in optical processing systems are the primary focus of this paper, but other applications such as ultra-video imaging and beamsteering are also included in the discussion.

关键词： Spatial light modulators Analog electronics Modulators Optical signal processing Charge-coupled devices Binary data image processing Sensors signal processing signal to noise ratio

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processing of multi-sensor data using correlation filters 2

Processing of multi-sensor data using correlation filters

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conference on Algorithms, Devices, and Systems for Optical Information processing

作者： Mahalanobis, A Raytheon Missile Syst Co Tucson AZ 85731 USA

ISBN: (纸本)081942921X

The theory of correlation filters does not make any assumptions about the sensor or image format. Thus the same class of algorithms is readily applicable to multiple sensor environments such as IR, SAR, LADAR, or CCD (visual). The advantage is that the same theory is valid for multiple sensor applications, the processing steps are common (and code) are re-usable in different sensor platforms, and the algorithms are rapidly re-trainable. The paper points out the key benefits resulting from the general formulation and solution resulting from the correlation approach to ATR.

关键词： Sensors Filtering (signal processing) image filtering image processing Automatic target recognition Detection and tracking algorithms image sensors Data processing signal processing Synthetic aperture radar

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Real-time wavelet based target tracking

Real-time wavelet based target tracking

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conference on Intelligent Systems in Design and Manufacturing

作者： Friend, KR Banta, L W Virginia Univ Coll Engn & Mineral Resources Dept Aerosp & Mech Engn Morgantown WV 26506 USA

ISBN: (纸本)0819429783

One of the most widely used applications of digital imaging in manufacturing is product inspection. Real-time control of robot motion is second emerging area. In both applications, detection and tracking of moving targets in the image are desirable and in some cases necessary abilities. Current hardware equal to this task is still extremely expensive, limiting its application in low-end manufacturing venues. Despite dramatic increases in processing speed for digital images, tracking moving targets in high-resolution images is still difficult for personal computer based systems. Various forms of image sampling have been used over the years to overcome this problem, allowing processing of a smaller number of pixels by localized searches, multiresolution processing, and other methods. Recently wavelet analysis has become popular as a powerful means of image compression and processing. In this work, Daubechies wavelets are used as basis functions for compressing sequences of images containing targets which include motion in three-dimensions (x and y translations plus rotation) against background clutter. The wavelet coefficients me used as an alternative representation of the image, and analysis is carried out to identify and track targets in the wavelet space. Inverse transformations to Cartesian space will be used to characterize the target motion once it has been determined in the wavelet domain. Preliminary results of the research. are shown.

关键词： wavelet transforms multiresolution analysis Daubechies image compression

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A new least squares minimum error variance deconvolution method

A new least squares minimum error variance deconvolution met...

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conference on applications of Digital image processing xxI

作者： Ibrahim, MA Hussein, AWF Mashali, SA Mohamed, AH Elect Res Inst Comp & Syst Dept Cairo Egypt

ISBN: (纸本)0819429155

We propose to minimize a cost function, which depends on the values of the input signal to a linear rime-invariant system, to reach an optimal estimation of this input signal. This cost function is the square of the error signal between the output and the convolution of the estimated input with the blurring system. The minimization of the cost function is done using an optimization technique which requires the use of an initial estimation of the input signal. Van-Cittert deconvolution method gives this required initial estimation. Singular value decomposition technique is used in estimating the improved input signal.

关键词： deconvolution signal restoration and least squares optimization

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Optoelectronic system for space variant signal and image processing 2

Optoelectronic system for space variant signal and image pro...

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conference on Algorithms, Devices, and Systems for Optical Information processing

作者： Shames, PE Laut, S Ambs, P Fainman, Y Univ Calif San Diego Dept Elect & Comp Engn La Jolla CA 92093 USA

ISBN: (纸本)081942921X

We present a study on a high-speed optoelectronic system for implementing space variant transforms (SVT) in image and signal processing using a Hough Transform (HT) as an example. The HT has been found to be highly useful in applications requiring detection of lines, ellipses and hyperbolic shapes, such as radar detection and data fusion, topographical map analysis, etc. However, the implementation of a SVT such as HT, is computation and memory intensive, e.g. HT of an image of dimension N x N requires greater than N-3 operations. All-electronic systems remain inadequate when real time SVT processing of large data sets is required. In this paper we show that an optoelectronic (OE) system employing parallel processing can perform such SVT requiring on the order of only N steps. We show that our proposed OE system can HT an input image of dimension N = 1024 in 2.1 ms.

关键词： space-variant transforms Hough transforms optoelectronic system computer-generated hologram image and signal processing

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