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Hyperspectral anomaly detection: A comparative evaluation of methods

Hyperspectral anomaly detection: A comparative evaluation of...

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General Assembly and Scientific Symposium, URSI

作者： D. Borghys V. Achard S. R. Rotman N. Gorelik C. Perneel E. Schweicher Signal and Image Centre Royal Military Academy Brussels Belgium French Aero Space Laboratory (ONERA) Toulouse France Department of Electrical and Computer Engineering of the Ben-Gurion University of the Negev Israel Department CISS Royal Military Academy Belgium

Anomaly detection in hyperspectral data has received a lot of attention for various applications. The aim of anomaly detection is to detect pixels in the hyperspectral datacube whose spectra differ significantly from the background spectra. In anomaly detection no prior knowledge about the target is assumed. Anomaly detection methods in general estimate the spectra of the background (locally or globally) and then detect anomalies as pixels with a large spectral distance w.r.t. the determined background spectra. Many types of anomaly detectors have been proposed in literature, each depending on several parameters. The aim of this paper is to compare the results of different types of anomaly detection when they are applied to scenes with different complexity: urban scenes with different complexity and rural scenes with sub-pixel anomalies. This paper only considers hyperspectral data in the VNIR and SWIR part of the EM spectrum (λ = 0.4-2.5μm).

关键词： Detectors Hyperspectral imaging Covariance matrix computer aided manufacturing Image segmentation Complexity theory Eigenvalues and eigenfunctions

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Detection of Collagenous Colitis Based on Histopathology Image Segmentation of Colon

Detection of Collagenous Colitis Based on Histopathology Ima...

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Iranian Machine Vision and Image Processing (MVIP)

作者： Vahid Malekian Mojgan Mokhtari Saeid Sadri Rasoul Amirfattahi Alireza Aghaie Digital Signal Processing Research Laboratory Department of Electrical and Computer Engineering Isfahan University of Technology Isfahan Iran School of Medicine Isfahan University of Medical Sciences Isfahan Iran Isfahan University of Technology Isfahan Isfahan IR

Collagenous colitis is prevalent among pathological diseases. Because of normal radiological and endoscopic appearances, the microscopic image of colon tissue is necessary and important material for investigation of this disease. In this paper, a computerized system is developed for collagenous colitis diagnosis. First, colon tissues are colored with Mason trichrome to make sub-epithelial collagen band to be appeared in blue. Second, preprocessing is done on the microscopic image of colon tissue, and then Color histogram features in HSV color space and Haar Wavelet energy in detail coefficients of sub-band images are implemented to characterize the histological structure representation for tissue classification. KNN Classifier is selected for this classification, which segments the sub-epithelial collagen band from the image, and finally, thickness of sub-epithelial collagen band is determined by morphological operations. Abnormal case will be recognized if the thickness of sub-epithelial collagen band be more than 10 μm. Fifty clinical image samples were employed in the training and testing procedures for the evaluation of system performance. Through the applied classification it was revealed that collagenous colitis can be diagnosed accurately.

关键词： Microscopy Image color analysis Colon Feature extraction Image segmentation Training Histograms

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Cognitive Radio Resource Management Exploiting Heterogeneous Primary Users

Cognitive Radio Resource Management Exploiting Heterogeneous...

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2011 IEEE Global Telecommunications Conference - GLOBECOM 2011

作者： Anna Vizziello Ian F. Akyildiz Ramon Agusti Lorenzo Favalli Pietro Savazzi Broadband Wireless Networking Laboratory School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA Department of Electronics University of Pavia Pavia Italy Telecommunication Engineering School (ETSETB)-Department of Signal Theory and Communications (TSC) Technical University of Catalonia Barcelona Spain

In this paper, a novel Cognitive Radio Resource Management (RRM) is proposed to improve the spectrum utilization efficiency. In this system, heterogeneous Primary Users (PUs) with multiple features are considered where these PU features are exploited to improve the adaptability in Cognitive Radio (CR) networks and, thus, to design an efficient Cognitive RRM. An optimization framework is developed by considering heterogeneous PUs and variable CR demands while assuring interference protection towards PUs. A suboptimal solution is proposed after showing that an optimal solution is computationally infeasible. Simulation results are conducted in terms of total achieved data rate and satisfaction of CRs requirements.

关键词： Resource management Interference OFDM Optimization Feature extraction Cognitive radio Indexes

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A new semi-supervised algorithm for hyperspectral image classification based on spectral unmixing concepts

A new semi-supervised algorithm for hyperspectral image clas...

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Workshop on Hyperspectral Image and signal Processing: Evolution in Remote Sensing, WHISPERS

作者： Alberto Villa Jun Li Antonio Plaza José M. Bioucas-Dias GIPSA-Laboratory Signal & Image Department Grenoble Institute of Technology (INPG) France Faculty of Electrical and Computer Engineering University of Iceland Iceland Instituto de Telecomunicações Instituto Superior Técnico TU Lisbon Lisbon Portugal Hyperspectral Computing Laboratory Department of Technology of Computers and Communications University of Extremadura Caceres Spain

Spectral unmixing is a fast growing area in hyperspectral image analysis. Many algorithms have been recently developed to retrieve pure spectral components (endmembers) and determine their abundance fractions in mixed pixels, which dominate hyperspectral images. However, possible connections between spectral unmixing concepts and classification algorithms have been rarely investigated. In this work, we propose a new method to perform semi-supervised hyperspectral image classification exploiting the information retrieved with spectral unmixing. The proposed method integrates a well-established discriminative classifier (multinomial logistic regression) with linear spectral unmixing. Furthermore, the proposed method uses a new active sampling approach which takes into account spatial context when generating new samples. The proposed method is experimentally validated using both simulated and real hyperspectral data sets.

关键词： Hyperspectral imaging Logistics Training signal processing algorithms Accuracy

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Local spectrum sensing in non-gaussian noise

Local spectrum sensing in non-gaussian noise

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2010 17th International Conference on Telecommunications, ICT 2010

作者： Zahabi, Sayed Jalal Tadaion, Ali A. Department of Electrical and Computer Engineering Statistical Signal Processing Laboratory Yazd University Yazd Iran

ISBN: (纸本)9781424452477

This paper deals with the local spectrum sensing problem in non-Gaussian noise. It is of great importance to reliably detect the presence of licensed users in cognitive radio. This task highly depends on the noise distribution, thus it is important to characterize the noise behavior as best as possible. Although Gaussian assumption for noise is of interest due to many reasons, it sometimes fails to model the behavior of noise in practice. In this paper we present a local spectrum sensing scheme in a broad family of non-Gaussian noise. We reasonably assume that the Primary User (PU) signal is Phase Shift Keying (PSK) modulated, where the number of constellation points, M, and the symbol code sequence are unknown to the Secondary Users (SU), as in practice. We also assume that the SUs are unaware of the PU signal complex amplitude and the non- Gaussian noise variance. Within this framework, we obtain the Generalized Likelihood Ratio Test (GLRT) as our spectrum sensing scheme and propose an approximate implementation of the resulting GLRT. Simulation results show that our proposed scheme has an acceptable performance. © 2009 IEEE.

关键词： Cognitive radio

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Motion compensated frame interpolation using adaptive adjacency pixel information

Motion compensated frame interpolation using adaptive adjace...

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International Conference on computer Graphics, Imaging and Visualization

作者： Oh, Hyeongchul Lee, Joohyun Min, Changki Jeong, Jechang Image Communication and Signal Processing Laboratory Department of Electrical and Computer Engineering Hanyang University Seoul Korea Republic of

ISBN: (纸本)9780769541662

We propose an adaptive motion compensated frame interpolation scheme which is capable of developing a frame rate from a lower number into a higher number and a decoded video quality at the decoder. The proposed algorithm utilizes the preliminary frames of the forward and backward directions using bilateral prediction. In the processing of the preliminary frames, an additional interpolation is performed to fill the occlusion areas. If the calculated values between the reference and current frames are larger than the predetermined threshold, the block is chosen as the occlusion area. In addition, we performed a re-search in order to acquire the best blocks, taking into account the number of available adjacent blocks for the occlusion areas. The experimental results show that the performance of the proposed algorithm has better PSNR and visual quality than those of the conventional methods. © 2010 IEEE.

关键词： Motion compensation

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Frame interpolation method based on adaptive threshold and adjacent pixels

Frame interpolation method based on adaptive threshold and a...

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6th International Conference on Intelligent Information Hiding and Multimedia signal Processing, IIHMSP 2010

ISBN: (纸本)9780769542225

This paper presents a frame interpolation algorithm using the motion information of some object within the estimated blocks. The proposed algorithm uses two initial frames that are generated based on the backward and forward frames using the motion vectors. In this process, the occlusion regions are occurred in two initial frames since the optimal block is only selected by threshold. Furthermore, the regions are irregularly appeared because of that the selected block is interpolated on half position between the estimated motion vectors. Two initial frames are merged to interpolate the occlusion regions. Also, the occlusion areas, which are still existence in the merged frame, are interpolated by using the neighboring pixel information and the available data in the occlusion block. In this paper, the experimental results show that the performance of the proposed algorithm has better PSNR and the visual quality than the conventional algorithms. © 2010 IEEE.

关键词： Motion compensation

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Developments in the radio search for extraterrestrial intelligence

Developments in the radio search for extraterrestrial intell...

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General Assembly and Scientific Symposium, URSI

作者： A. P. V. Siemion D. Werthimer D. Anderson H. Chen J. Cobb J. Cordes T. Filiba G. Foster S. Gowda E. Korpela M. Lebofsky A. Little W. Mallard L. Spitler M. Wagner Department of Astronomy University of California Berkeley Berkeley CA USA University of California Berkeley Berkeley CA US Center for Astronomy Signal Processing and Electronics Research University of California Berkeley Berkeley CA USA Artment of Electrical Engineering University of California Los Angeles Los Angeles CA USA Space Sciences Laboratory University of California Berkeley Berkeley CA USA Department of Astronomy Cornell University Ithaca NY USA Department of Electrical Engineering and Computer Science University of California Berkeley Berkeley CA USA Department of Physics Oxford University Oxford UK Department of Physics University of California Berkeley Berkeley CA USA

We present developments in the search for engineered radio emissions from advanced extraterrestrial life. Our group is currently engaging in both targeted and sky survey searches for extraterrestrial intelligence (SETI), covering a wide variety of narrow-band and pulsed signal types. We are also developing new SETI instrumentation, designed to be flexible, modular and to employ commodity components that lower cost and enhance upgradability. Here we will discuss the status of these observational and engineering projects, as well as prospects for future radio SETI endeavors.

关键词： Educational institutions Telescopes Bandwidth Planets Filter banks Physics

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Low complexity mimo receiver based on adaptive duplicated filters and interference canceller

Low complexity mimo receiver based on adaptive duplicated fi...

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8th IEEE International NEWCAS Conference, NEWCAS 2010

作者： Nougarou, FrancÌ§ois Massicotte, Daniel UniversiteÌü du QueÌübec aÌÇ Trois-RivieÌÇres Electrical and Computer Engineering Department Laboratory of Signal and System Integration Trois-RivieÌÇres QC Canada

ISBN: (纸本)9781424468058

A low complexity receiver named MIMO-ADIC, which is ba sed on an adaptive MUD mixed with interference cancellation (ADIC MUD [6]), is presented and analyzed in the MIMO environment. This proposed adaptive MIMO receiver yields BER results equivalent to those of the MMSE-SIC receiver in perfect knowledge of channel gains as well as improved BER robustness when the channel impulse responses are not perfectly estimated. Its advantage of not employing matrix inversion is particularly obvious in the complexity study. Indeed, compared with most recent reduced complexity versions of MMSE-SIC detection of the V-BLAST system, MIMO-ADIC is up to 2.5 times less complex in term s of number of used antennas in MIMO systems. Â© 2010 IEEE.

关键词： MIMO systems

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A comparative study to select an image deconvolution method

A comparative study to select an image deconvolution method

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International Multi-Conference on Systems, signals and Devices

作者： Saadi, S. Kouzou, A. Guessoum, A. Bettayeb, M. Department of Electronics University Ziane Achour of Djelfa Algeria Department of Electronics Signal and Image Processing Laboratory USDB Blida Algeria Department of Electrical and Computer Engineering University of Sharjah United Arab Emirates

ISBN: (纸本)9781424475346

Image deconvolution is an important subject in image processing. It is an ill-posed inverse problem, so regularization techniques are used to solve this problem by adding constraints to the objective function. Various popular algorithms have been developed to solve such problem. This paper studies various approaches to the nonlinear degraded images restoration problem which are useful in many images enhancement applications. Swarm intelligence is applied for total variation (TV) minimization, instead of the standard Tikhonov regularization method which is often used. In this work, we attempt to reconstruct or recover corrupted images that have been degraded during acquisition;using some a priori knowledge of the degradation phenomenon. The truncated singular value decomposition (TSVD) method is also considered for image deconvolution in this paper. A comparison between these methods made on examples is included. ©2010 IEEE.

关键词： Image enhancement

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