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红外技术 2010年第2期32卷 97-100页

作者：孙国栋吉书鹏周桢中国空空导弹研究院河南洛阳471009

红外图像中弱小目标的检测一直是图像处理领域的热点和难点。介绍了一种基于小波变换和Context模型空间自适应滤波的红外弱小目标检测算法。该方法首先利用小波滤波器抑制大部分背景杂波,然后采用基于Context模型的空间自适应滤波器对... 详细信息

红外图像中弱小目标的检测一直是图像处理领域的热点和难点。介绍了一种基于小波变换和Context模型空间自适应滤波的红外弱小目标检测算法。该方法首先利用小波滤波器抑制大部分背景杂波,然后采用基于Context模型的空间自适应滤波器对高频系数做进一步处理,提高信噪比,最后采用基于Bayes分类算法的迭代门限进行图像分割。实验结果表明,与高通滤波相比,该方法能够更有效地检测出弱小目标。

关键词：小波变换 Context模型红外弱小目标检测自适应滤波

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A novel algorithm for small dim target detection in distorted infrared image sequence

A novel algorithm for small dim target detection in distorte...

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MIPPR 2009 - Automatic target Recognition and Image Analysis: 6th International Symposium on Multispectral Image Processing and Pattern Recognition

作者： Qu, Xiaolei Zuo, Zhengrong Li, Xiafeng Institute for Pattern Recognition and Artificial Intelligence State Key Laboratory for Multispectral Information Processing Technologies Huazhong University of Science and Technology Wuhan Hubei 430074 China

ISBN: (纸本)9780819478061

A novel algorithm is proposed in this paper to detect dim moving point target with several pixels size in infrared image sequence, taken by line scan camera in high speed moving platform, with heavy background clutter and distortion. In the algorithm, the regional information of candidate points, which are extracted from the images after background suppression by spatial filter, is employed to track candidate points. After tracking candidate points, the velocity of every candidate points can be calculated easily, and false candidate points which are extracted from clutter background, can be find out by velocity classification and removed. Then, Double Hough Transform is applied on associating the remnant candidate points in multi-frame sequence to detect the target. The algorithm can get a high detection probability and reduce false alarm rate dramatically. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Hough transforms

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DMD-based adaptive spectral imagers for hyperspectral imagery and direct detection of spectral signatures

DMD-based adaptive spectral imagers for hyperspectral imager...

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Conference on Emerging Digital Micromirror Device Based Systems and Applications

作者： Goldstein, Neil Vujkovic-Cvijin, Pajo Fox, Marsha Gregor, Brian Lee, Jamine Cline, Jason Adler-Golden, Steve Spectral Sci Inc Burlington MA 01803 USA

ISBN: (纸本)9780819474568

Dispersive transform spectral imagers with both one-and two-dimensional spatial coverage have been demonstrated and characterized for applications in remote sensing, target classification and process monitoring. Programmable spatial light modulators make it possible to adjust spectral, temporal and spatial resolution in real time, as well as implement detection algorithms directly in the digitally controlled sensor hardware. Operating parameters can be optimized in real time, in order to capture changing background and target evolution. Preliminary results are presented for short wave, mid-wave, and long-wave infrared sensors that demonstrate the spatial and spectral versatility and rapid adaptability of this new sensor technology.

关键词： DMD Hadamard imager spectrometer programmable

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基于多级分类与逆向时空融合的弱小目标检测

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系统工程与电子技术 2009年第8期31卷 1864-1869页

作者：袁红刚孙卫东清华大学电子工程系北京100084

弱小点目标检测是红外探测技术中的一个关键问题。针对目前序列红外图像目标检测中单阈值分割时弱小目标易丢失及快速移动目标的能量欠积累问题,提出了一种基于多级分类与逆向时空融合的弱小红外目标检测方法。该方法在对图像进行背景... 详细信息

弱小点目标检测是红外探测技术中的一个关键问题。针对目前序列红外图像目标检测中单阈值分割时弱小目标易丢失及快速移动目标的能量欠积累问题,提出了一种基于多级分类与逆向时空融合的弱小红外目标检测方法。该方法在对图像进行背景抑制的基础上,采用自适应多级分类的方法提取候选目标,强化了各类弱小候选目标的检测能力。同时,根据目标在相邻帧间的位置变化信息构造动态时空管道,在当前帧候选目标点的真伪无法判定时,沿时空管道逆向寻找可能出现的各类候选目标,将其中的各类候选目标点能量与当前帧候选目标点的能量进行加权求和后再进行门限判决,较好地解决了弱小目标及快速移动目标的能量积累问题。最后,本文通过若干实际红外数据验证了上述方法的有效性。

关键词：红外目标检测弱小目标快速移动目标多级分类逆向时空融合

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基于多阈值分类与逆向求证的红外序列图像弱小目标检测方法

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中国图象图形学报 2009年第8期14卷 1583-1589页

作者：袁红刚孙卫东清华大学电子工程系北京100084

弱小点目标检测是红外探测技术中的一个关键问题。针对目前序列红外图像目标检测中单阈值分割时弱小目标易丢失及快速移动目标的能量欠积累问题,提出了一种基于多阈值分类与逆向求证的弱小红外目标检测方法。在背景抑制的基础上,首先采... 详细信息

弱小点目标检测是红外探测技术中的一个关键问题。针对目前序列红外图像目标检测中单阈值分割时弱小目标易丢失及快速移动目标的能量欠积累问题,提出了一种基于多阈值分类与逆向求证的弱小红外目标检测方法。在背景抑制的基础上,首先采用自适应多阈值分类的方法提取多类候选目标,强化了各类弱小候选目标的检测能力。在当前帧候选目标点的真伪无法判定时,根据目标在相邻帧间的位置变化信息构造相应的时空管道,沿时空管道逆向寻找可能出现的各类候选目标,并将其能量与当前帧候选目标点的能量进行加权求和后再进行门限判决,较好地解决了弱小目标及快速移动目标的能量积累问题。最后,通过若干实际红外数据验证了上述方法的有效性。

关键词：红外目标检测弱小目标快速移动目标多阈值分类逆向求证

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Point target detection with Linear Fishertarget

Point Target Detection with Linear Fishertarget

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Computer Science and Information Engineering, CSIE, WRI World Congress on FLAGGED

作者： Ruiming Liu School of Electronic Engineering Huaihai Institute of Technology Lianyungang Jiangsu China

Linear Fishertarget based on Fisher linear discriminant (FLD) is presented in this paper. If an image is regarded as a data set including two-class data, target data and background data, the target detection problem can be transferred into a classification problem. To detect targets from background is to classify target data from image data. FLD can maximize the ratio of between-class scatter to that of within-class scatter. It can get the better performance than classical detection methods.

关键词： Object detection Scattering classification algorithms Equations Computer science Pixel infrared detectors Filters Face recognition Vectors

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Strategies for detecting organic liquids on soils using mid-infrared reflection spectroscopy

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ENVIRONMENTAL SCIENCE & technology 2008年第15期42卷 5700-5705页

作者： Gallagher, Neal B. Gassman, Paul L. Blake, Thomas A. Eigenvector Res Inc Manson WA 98831 USA Pacific NW Natl Lab Richland WA 99352 USA

Stand-off monitoring for chemical spills can provide timely information for cleanup efforts, and mid-infrared reflection spectroscopy is one approach being investigated for spill detection. Using laboratory data, anomaly and target detection strategies were examined for the detection of four different low volatility organic liquids on two different soil types. Several preprocessing and signal-weighting strategies were studied. Anomaly detection for C-H bands was good using second derivative preprocessing and provided similar performance to that of target detection approaches such as generalized least-squares and partial least-squares, with detections at soil loads of approximately 3-6 mu g/cm(2) areal dosage. Good performance was also found for the detection of P=O, O-H, and C=O stretching vibrational modes, but the optimal strategy varied. The simplicity and generality of anomaly detection is attractive;however, target detection provides more capability for classification.

关键词： Waste spills Chemical spills Liquids Organic compounds Soils infrared spectroscopy Chemical accidents Reflectance spectroscopy Soil classification

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An information theoretic model of target discrimination using hyperspectral and multisensor data

An information theoretic model of target discrimination usin...

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34th Conference on infrared technology and Applications

作者： Wadstromer, Niclas Renhorn, Ingmar Swedish Def Res Agcy FOI Div Sensor Syst SE-58111 Linkoping Sweden

ISBN: (纸本)9780819471314

We address the problem of target discrimination using hyperspektral and multisensor data. The problem is of significance to detection and classification of low signature targets such as landmines. The problem will be described with stochastic models and by using information theoretic concepts we will derive limits to system performance in terms of probability of false alarm and probablility of detection. The stochastic model is suitable to evaluate and optimize sensor parameters and sensor configurations. We will for example investigate how much information different combinations of spectral and spatial data will give. With the stochastic model sensors with different types of characteristics can be compared and the contribution of the different sensors and configurations can be evaluated. Besides the optimization of different sensor configurations with respect to specific applications, the stochastic model will be used to evaluate different anomaly detectors. The strength of our approach is shown by examples from an analysis of measurements on a natural scene with various objects using an electro-optical hyperspectral sensor and several other sensors. We expect that our approach will give significant indications on how to choose and configure sensors for efficient and reliable target discrimination.

关键词： target discrimination information theory hyperspectral data multisensor data

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detection and differentiation of spore and vegetative forms of bacillus spp. using infrared spectroscopic methods

Detection and differentiation of spore and vegetative forms ...

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作者： Amant, Diane St. Campbell, Mark Beck, Andrew Williams, Leslie Minter, Jennifer Collett, Patricia Zhu, Changjiang Samuels, Alan Edgewood Chemical Biological Center Aberdeen Proving Ground Edgewood Area MD 21010 United States Food Safety and Inspection Service United States Department of Agriculture Athens GA 30605 United States Mitretek Systems Falls Church VA 22042 United States Battelle Eastern Science and Technology Center Aberdeen MD 21001 United States Science and Technology Corporation Abingdon MD 21009 United States Oak Ridge Institute for Science and Education Oak Ridge TN 37831 United States

infrared spectroscopy has been demonstrated as a powerful tool for taxonomic classification of bacteria when the microbes are grown and sampled under carefully controlled conditions. infrared spectroscopy affords limited information about relative proportions of certain chemical functional groups in whole microbial cells. The objective of this work is to elucidate the ability of infrared spectroscopy to identify and speciate Bacillus spp. regardless of sample history. Spectrometers utilize different scanning methods to collect infrared absorption spectra. We employed three;transmission through a thin film, transmission infrared microscopy, and Attenuated Total Reflection (ATR). target organisms include Bacillus anthracis, and several near neighbors. Each strain was cultured at 24C and 35C on three solid media. Microorganisms were incubated for up to ten days to include vegetative cells, spore formation and mature spores. Triplicate microbe samples were prepared and analyzed according to instrument requirements using the three measurement modes. Triplicate samples of BSL-3 organisms were analyzed only by the thin film transmission method. Spectral data was analyzed using the cluster analysis function of OPUS software. We report that infrared spectrometry is capable of discerning Bacillus spores from vegetative cells and the phylogenic clustering of Bacillus species according to pathogenicity levels via infrared spectral analysis. © 2008 World Scientific Publishing Company.

关键词： Bacteria

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detection AND DIFFERENTIATION OF SPORE AND VEGETATIVE FORMS OFBACILLUS SPP. USING infrared SPECTROSCOPIC METHODS

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International Journal of High Speed Electronics and Systems 2008年第2期18卷 417-427页

作者： DIANE ST. AMANT MARK CAMPBELL ANDREW BECK LESLIE WILLIAMS JENNIFER MINTER PATRICIA COLLETT CHANGJIANG ZHU ALAN SAMUELS Edgewood Chemical Biological Center Aberdeen Proving Ground Edgewood Area Maryland 21010 United States of America Food Safety and Inspection Service United States Department of Agriculture Athens GA 30605 United States of America Mitretek Systems Falls Church Virginia 22042 United States of America Battelle Eastern Science and Technology Center Aberdeen Maryland 21001 United States of America Science and Technology Corporation Abingdon Maryland 21009 United States of America Oak Ridge Institute for Science and Education Oak Ridge TN 37831 United States of America Edgewood Chemical and Biological Center Aberdeen Proving Ground Edgewood Area Maryland 21010 United States of America

infrared spectroscopy has been demonstrated as a powerful tool for taxonomic classification of bacteria when the microbes are grown and sampled under carefully controlled conditions. infrared spectroscopy affords limited information about relative proportions of certain chemical functional groups in whole microbial cells. The objective of this work is to elucidate the ability of infrared spectroscopy to identify and speciate Bacillus spp . regardless of sample history. Spectrometers utilize different scanning methods to collect infrared absorption spectra. We employed three; transmission through a thin film, transmission infrared microscopy, and Attenuated Total Reflection (ATR). target organisms include Bacillus anthracis , and several near neighbors. Each strain was cultured at 24°C and 35°C on three solid media. Microorganisms were incubated for up to ten days to include vegetative cells, spore formation and mature spores. Triplicate microbe samples were prepared and analyzed according to instrument requirements using the three measurement modes. Triplicate samples of BSL-3 organisms were analyzed only by the thin film transmission method. Spectral data was analyzed using the cluster analysis function of OPUS software. We report that infrared spectrometry is capable of discerning Bacillus spores from vegetative cells and the phylogenic clustering of Bacillus species according to pathogenicity levels via infrared spectral analysis.

关键词： infrared sensing biological agent bacteria spore microorganism spectroscopy

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