Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
A Side Scan Sonar Image Target Detection Algorithm Based On A Neutrosophic Set And Diffusion Maps
Download A Side Scan Sonar Image Target Detection Algorithm Based On A Neutrosophic Set And Diffusion Maps full books in PDF, epub, and Kindle. Read online A Side Scan Sonar Image Target Detection Algorithm Based On A Neutrosophic Set And Diffusion Maps ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Book Synopsis A Side Scan Sonar Image Target Detection Algorithm Based on a Neutrosophic Set and Diffusion Maps by : Xiao Wang
Download or read book A Side Scan Sonar Image Target Detection Algorithm Based on a Neutrosophic Set and Diffusion Maps written by Xiao Wang and published by Infinite Study. This book was released on with total page 16 pages. Available in PDF, EPUB and Kindle. Book excerpt: To accurately achieve side scan sonar (SSS) image target detection, a novel target detection algorithm based on a neutrosophic set (NS) and diffusion maps (DMs) is proposed in this paper.
Book Synopsis Coherence Based Underwater Target Detection for Sidescan Sonar Imagery by : James Derek Tucker
Download or read book Coherence Based Underwater Target Detection for Sidescan Sonar Imagery written by James Derek Tucker and published by . This book was released on 2009 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Side Scan Sonar Target Detection in the Presence of Bottom Backscatter by :
Download or read book Side Scan Sonar Target Detection in the Presence of Bottom Backscatter written by and published by . This book was released on 1983 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The effect of bottom backscatter on target detection ranges for 100- kHz Klein and EG & G side scan sonars was investigated. Glass spheres of 16-cm diameter with measured target strengths of -24 dB were deployed in 30-m water depth, 0.7 m above sand and shale bottoms. Controlled test runs past a linear target configuration were performed. For a sand bottom, the Klein system yielded target detections at a maximum range of 150 m with 100% success. The EG & G system yielded 100% detection out to 152-m range, with detection 46% of the time at 259 m and 86% at 228 m. A shale bottom masked all target returns negating detection. Detection thresholds were estimated by comparing field results to theoretical ranges calculated from the sonar equation using applicable backscatter coefficients. The results show that it is possible to determine the geophysical and side scan system inputs sufficiently well to allow determination of the efficient spacing of survey lines in shallow water hydrographic applications of side scan sonar.
Book Synopsis Side Scan Sonar Target Detection in the Presence of Bottom Backscatter by : Maureen R. Kenny
Download or read book Side Scan Sonar Target Detection in the Presence of Bottom Backscatter written by Maureen R. Kenny and published by . This book was released on 1983 with total page 135 pages. Available in PDF, EPUB and Kindle. Book excerpt: The effect of bottom backscatter on target detection ranges for 100- kHz Klein and EG & G side scan sonars was investigated. Glass spheres of 16-cm diameter with measured target strengths of -24 dB were deployed in 30-m water depth, 0.7 m above sand and shale bottoms. Controlled test runs past a linear target configuration were performed. For a sand bottom, the Klein system yielded target detections at a maximum range of 150 m with 100% success. The EG & G system yielded 100% detection out to 152-m range, with detection 46% of the time at 259 m and 86% at 228 m. A shale bottom masked all target returns negating detection. Detection thresholds were estimated by comparing field results to theoretical ranges calculated from the sonar equation using applicable backscatter coefficients. The results show that it is possible to determine the geophysical and side scan system inputs sufficiently well to allow determination of the efficient spacing of survey lines in shallow water hydrographic applications of side scan sonar.
Book Synopsis Change Detection of Sea Floor Environment Using Side Scan Sonar Data For Online Simultaneous Localization and Mapping on Autonomous Underwater Vehicles by : Timothy Pohajdak
Download or read book Change Detection of Sea Floor Environment Using Side Scan Sonar Data For Online Simultaneous Localization and Mapping on Autonomous Underwater Vehicles written by Timothy Pohajdak and published by . This book was released on 2016 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Autonomous underwater vehicles (AUVs) are frequently used to survey sea-floor environments using side-scan sonar technology. A simultaneous localization and mapping (SLAM) algorithm can be used with side-scan sonar data gathered during surveying to bound the possible error in AUV position estimate, and increase overall position accuracy, using only information already gathered during the survey mission. One problem in using SLAM to improve localization is that data from a preliminary or route survey on the sea floor may be inaccurate due to changes in the sea bed or merely be differently detected due to different side-scan sonar surveying patterns or equipment. This thesis' focus is an integrated on-board SLAM system using automated target recognition system to extract objects for SLAM data association, data association algorithms for MLOs (joint compatibility program), and finally change detection on the SLAM results to determine if new objects have been introduced to the sea floor.
Book Synopsis Preliminary Results of an Algorithm for Automatic Detection of Mine-like Objects in Sidescan Sonar Images by :
Download or read book Preliminary Results of an Algorithm for Automatic Detection of Mine-like Objects in Sidescan Sonar Images written by and published by . This book was released on 2000 with total page 29 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper investigates the detection of possible targets in sidescan sonar images using two-dimensional convolutions of filters with the sidescan image. The filters are designed to reflect the highlight/shadow features of targets. A high convolution value indicates a possible target. Two data sets, one from the SQS-511 sonar and one from a Klein 5000 sonar towed by an autonomous vehicle, are analyzed. The results indicate whether this method may provide a robust method for automated target detection.
Book Synopsis Comparison of Hyperspectral Imagery Target Detection Algorithm Chains by : David C. Grimm
Download or read book Comparison of Hyperspectral Imagery Target Detection Algorithm Chains written by David C. Grimm and published by . This book was released on 2005 with total page 119 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Detection of a known target in an image has several different approaches. The complexity and number of steps involved in the target detection process makes a comparison of the different possible algorithm chains desirable. Of the different setps involved, some have a more significant impact than others on the final result - the ability to find a target in an image. These more important steps often include atmospheric compensation, noise and dimensionality reduction, background characterization, and detection (matched filtering for this research). A brief overview of the algorithms to be compared for each step will be presented. This research seeks to identify the most effective set of algorithms for detecting a known target. Several different algorithms for each step will be presented, to include ELM, FLAASH, ACORN, MNF, PPI, N-FINDR, MAXD, and two matched filters that employ a structured background model - OSP and ASD. The chains generated by these algorithms will be compared using the Forest Radiance I HYDICE data set. Finally, ROC curves and AFAR values are calculated for each algorithm chain and a comparison of them is presented. Detection rates at a CFAR are also compared. Since a relatively small number of algorithms were used for each step, there were no definitive results generated. However, a comprehensive comparison of the chains using the above mentioned algorithms is presented"--Abstract.
Download or read book Sonar Systems written by Nikolai Kolev and published by IntechOpen. This book was released on 2011-09-12 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book is an edited collection of research articles covering the current state of sonar systems, the signal processing methods and their applications prepared by experts in the field. The first section is dedicated to the theory and applications of innovative synthetic aperture, interferometric, multistatic sonars and modeling and simulation. Special section in the book is dedicated to sonar signal processing methods covering: passive sonar array beamforming, direction of arrival estimation, signal detection and classification using DEMON and LOFAR principles, adaptive matched field signal processing. The image processing techniques include: image denoising, detection and classification of artificial mine like objects and application of hidden Markov model and artificial neural networks for signal classification. The biology applications include the analysis of biosonar capabilities and underwater sound influence on human hearing. The marine science applications include fish species target strength modeling, identification and discrimination from bottom scattering and pelagic biomass neural network estimation methods. Marine geology has place in the book with geomorphological parameters estimation from side scan sonar images. The book will be interesting not only for specialists in the area but also for readers as a guide in sonar systems principles of operation, signal processing methods and marine applications.
Book Synopsis Analysis of Side-scan Sonar Images of a High-reflectivity Target by :
Download or read book Analysis of Side-scan Sonar Images of a High-reflectivity Target written by and published by . This book was released on 1988 with total page 22 pages. Available in PDF, EPUB and Kindle. Book excerpt: Side-scan sonars deployed on towfish are a valued tool for imaging the sea bottom. This paper describes some recent observations in the practical effects of sidelobes and the effects of towfish attitude on the image. The images analyzed are of corner-cube reflectors, which give a very strong reflection visible over a wide range of angles. The internal structure of this reflection can be studied to investigate the beam pattern. It was also possible, in this case, to see an effect of towfish yaw.
Book Synopsis Spectral Target Detection Using Schroedinger Eigenmaps by : Leidy P. Dorado-Munoz
Download or read book Spectral Target Detection Using Schroedinger Eigenmaps written by Leidy P. Dorado-Munoz and published by . This book was released on 2016 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Applications of optical remote sensing processes include environmental monitoring, military monitoring, meteorology, mapping, surveillance, etc. Many of these tasks include the detection of specific objects or materials, usually few or small, which are surrounded by other materials that clutter the scene and hide the relevant information. This target detection process has been boosted lately by the use of hyperspectral imagery (HSI) since its high spectral dimension provides more detailed spectral information that is desirable in data exploitation. Typical spectral target detectors rely on statistical or geometric models to characterize the spectral variability of the data. However, in many cases these parametric models do not fit well HSI data that impacts the detection performance. On the other hand, non-linear transformation methods, mainly based on manifold learning algorithms, have shown a potential use in HSI transformation, dimensionality reduction and classification. In target detection, non-linear transformation algorithms are used as preprocessing techniques that transform the data to a more suitable lower dimensional space, where the statistical or geometric detectors are applied. One of these non-linear manifold methods is the Schroedinger Eigenmaps (SE) algorithm that has been introduced as a technique for semi-supervised classification. The core tool of the SE algorithm is the Schroedinger operator that includes a potential term that encodes prior information about the materials present in a scene, and enables the embedding to be steered in some convenient directions in order to cluster similar pixels together. A completely novel target detection methodology based on SE algorithm is proposed for the first time in this thesis. The proposed methodology does not just include the transformation of the data to a lower dimensional space but also includes the definition of a detector that capitalizes on the theory behind SE. The fact that target pixels and those similar pixels are clustered in a predictable region of the low-dimensional representation is used to define a decision rule that allows one to identify target pixels over the rest of pixels in a given image. In addition, a knowledge propagation scheme is used to combine spectral and spatial information as a means to propagate the 'potential constraints' to nearby points. The propagation scheme is introduced to reinforce weak connections and improve the separability between most of the target pixels and the background. Experiments using different HSI data sets are carried out in order to test the proposed methodology. The assessment is performed from a quantitative and qualitative point of view, and by comparing the SE-based methodology against two other detection methodologies that use linear/non-linear algorithms as transformations and the well-known Adaptive Coherence/Cosine Estimator (ACE) detector. Overall results show that the SE-based detector outperforms the other two detection methodologies, which indicates the usefulness of the SE transformation in spectral target detection problems."--Abstract.
Book Synopsis Detection of Camouflaged Targets in Cluttered Backgrounds Using Fusion of Near Simultaneous Spectral and Polarimetric Imaging by :
Download or read book Detection of Camouflaged Targets in Cluttered Backgrounds Using Fusion of Near Simultaneous Spectral and Polarimetric Imaging written by and published by . This book was released on 2000 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The detection of low signature or camouflaged targets in cluttered backgrounds is a crucial problem in tactical reconnaissance. In the past few years, imaging spectral and polarimetric sensors have been evaluated for this application. Although these sensors have separately generated promising results, each imaging modality alone appears to have not achieved the desired level of target detection. Fusion of data from multiple sensing modalities may potentially improve performance to acceptable levels. In the case of a key issue is the correlation of the spatial location of the false detection within spectral and polarmetric imaging. This paper presents a study of a data set consisting of near simultaneous spectral and polarimetric images recorded from sensors colocated on North Oscura Peak in the White Sands test range. The sensors overlooked a scene composed of natural background, military vehicles, and camouflage material. The sensors operated in the visible band with nearly equal, simultaneous field of view. The RX anomaly detection algorithm was separately applied to each data set to obtain a two dimensional map of target and false detection. The paper will analyze the correlation of false detection for image fusion. Background segmentation of the hyperspectral and polarization data sets was also examined.
Book Synopsis Target Detection, Tracking, and Localization Using Multi-spectral Image Fusion and RF Doppler Differentials by :
Download or read book Target Detection, Tracking, and Localization Using Multi-spectral Image Fusion and RF Doppler Differentials written by and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract : It is critical for defense and security applications to have a high probability of detection and low false alarm rate while operating over a wide variety of conditions. Sensor fusion, which is the the process of combining data from two or more sensors, has been utilized to improve the performance of a system by exploiting the strengths of each sensor. This dissertation presents algorithms to fuse multi-sensor data that improves system performance by increasing detection rates, lowering false alarms, and improving track performance. Furthermore, this dissertation presents a framework for comparing algorithm error for image registration which is a critical pre-processing step for multi-spectral image fusion. First, I present an algorithm to improve detection and tracking performance for moving targets in a cluttered urban environment by fusing foreground maps from multi-spectral imagery. Most research in image fusion consider visible and long-wave infrared bands; I examine these bands along with near infrared and mid-wave infrared. To localize and track a particular target of interest, I present an algorithm to fuse output from the multi-spectral image tracker with a constellation of RF sensors measuring a specific cellular emanation. The fusion algorithm matches the Doppler differential from the RF sensors with the theoretical Doppler Differential of the video tracker output by selecting the sensor pair that minimizes the absolute difference or root-mean-square difference. Finally, a framework to quantify shift-estimation error for both area- and feature-based algorithms is presented. By exploiting synthetically generated visible and long-wave infrared imagery, error metrics are computed and compared for a number of area- and feature-based shift estimation algorithms. A number of key results are presented in this dissertation. The multi-spectral image tracker improves the location accuracy of the algorithm while improving the detection rate and lowering false alarms for most spectral bands. All 12 moving targets were tracked through the video sequence with only one lost track that was later recovered. Targets from the multi-spectral tracking algorithm were correctly associated with their corresponding cellular emanation for all targets at lower measurement uncertainty using the root-mean-square difference while also having a high confidence ratio for selecting the true target from background targets. For the area-based algorithms and the synthetic air-field image pair, the DFT and ECC algorithms produces sub-pixel shift-estimation error in regions such as shadows and high contrast painted line regions. The edge orientation feature descriptors increase the number of sub-field estimates while improving the shift-estimation error compared to the Lowe descriptor.
Book Synopsis Feature Extraction and Image Processing for Computer Vision by : Mark Nixon
Download or read book Feature Extraction and Image Processing for Computer Vision written by Mark Nixon and published by Academic Press. This book was released on 2012-12-18 with total page 629 pages. Available in PDF, EPUB and Kindle. Book excerpt: Feature Extraction and Image Processing for Computer Vision is an essential guide to the implementation of image processing and computer vision techniques, with tutorial introductions and sample code in Matlab. Algorithms are presented and fully explained to enable complete understanding of the methods and techniques demonstrated. As one reviewer noted, "The main strength of the proposed book is the exemplar code of the algorithms." Fully updated with the latest developments in feature extraction, including expanded tutorials and new techniques, this new edition contains extensive new material on Haar wavelets, Viola-Jones, bilateral filtering, SURF, PCA-SIFT, moving object detection and tracking, development of symmetry operators, LBP texture analysis, Adaboost, and a new appendix on color models. Coverage of distance measures, feature detectors, wavelets, level sets and texture tutorials has been extended. - Named a 2012 Notable Computer Book for Computing Methodologies by Computing Reviews - Essential reading for engineers and students working in this cutting-edge field - Ideal module text and background reference for courses in image processing and computer vision - The only currently available text to concentrate on feature extraction with working implementation and worked through derivation
Book Synopsis An Introduction to Underwater Acoustics by : Xavier Lurton
Download or read book An Introduction to Underwater Acoustics written by Xavier Lurton and published by Springer Science & Business Media. This book was released on 2002 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presented in a clear and concise way as an introductory text and practical handbook, the book provides the basic physical phenomena governing underwater acoustical waves, propagation, reflection, target backscattering and noise. It covers the general features of sonar systems, transducers and arrays, signal processing and performance evaluation. It provides an overview of today's applications, presenting the working principles of the various systems. From the reviews: "Presented in a clear and concise way as an introductory text and practical handbook, the book provides the basic physical phenomena governing underwater acoustical waves, propagation, reflection, target backscattering and noise. ⦠It provides an overview of todayâs applications, presenting the working principles of the various systems." (Oceanis, Vol. 27 (3-4), 2003) "This book is a general survey of Underwater Acoustics, intended to make the subject âas easily accessible as possible, with a clear emphasis on applications.â In this the author has succeeded, with a wide variety of subjects presented with minimal derivation ⦠. There is an emphasis on technology and on intuitive physical explanation ⦠." (Darrell R. Jackson, Journal of the Acoustic Society of America, Vol. 115 (2), February, 2004) "This is an exciting new scientific publication. It is timely and welcome ⦠. Furthermore, it is up to date and readable. It is well researched, excellently published and ranks with earlier books in this discipline ⦠. Many persons in the marine science field including acousticians, hydrographers, oceanographers, fisheries scientists, engineers, educators, students ⦠and equipment manufacturers will benefit greatly by reading all or part of this text. The author is to be congratulated on his fine contribution ⦠." (Stephen B. MacPhee, International Hydrographic Review, Vol. 4 (2), 2003)
Book Synopsis Metaheuristics in Machine Learning: Theory and Applications by : Diego Oliva
Download or read book Metaheuristics in Machine Learning: Theory and Applications written by Diego Oliva and published by Springer Nature. This book was released on with total page 765 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collection of the most recent approaches that combine metaheuristics and machine learning. Some of the methods considered in this book are evolutionary, swarm, machine learning, and deep learning. The chapters were classified based on the content; then, the sections are thematic. Different applications and implementations are included; in this sense, the book provides theory and practical content with novel machine learning and metaheuristic algorithms. The chapters were compiled using a scientific perspective. Accordingly, the book is primarily intended for undergraduate and postgraduate students of Science, Engineering, and Computational Mathematics and is useful in courses on Artificial Intelligence, Advanced Machine Learning, among others. Likewise, the book is useful for research from the evolutionary computation, artificial intelligence, and image processing communities.
Book Synopsis Nature-Inspired Optimizers by : Seyedali Mirjalili
Download or read book Nature-Inspired Optimizers written by Seyedali Mirjalili and published by Springer. This book was released on 2019-02-01 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the conventional and most recent theories and applications in the area of evolutionary algorithms, swarm intelligence, and meta-heuristics. Each chapter offers a comprehensive description of a specific algorithm, from the mathematical model to its practical application. Different kind of optimization problems are solved in this book, including those related to path planning, image processing, hand gesture detection, among others. All in all, the book offers a tutorial on how to design, adapt, and evaluate evolutionary algorithms. Source codes for most of the proposed techniques have been included as supplementary materials on a dedicated webpage.
Author :Natarajan Meghanathan Publisher :Springer Science & Business Media ISBN 13 :3642315992 Total Pages :712 pages Book Rating :4.6/5 (423 download)
Book Synopsis Advances in Computing and Information Technology by : Natarajan Meghanathan
Download or read book Advances in Computing and Information Technology written by Natarajan Meghanathan and published by Springer Science & Business Media. This book was released on 2012-08-13 with total page 712 pages. Available in PDF, EPUB and Kindle. Book excerpt: The international conference on Advances in Computing and Information technology (ACITY 2012) provides an excellent international forum for both academics and professionals for sharing knowledge and results in theory, methodology and applications of Computer Science and Information Technology. The Second International Conference on Advances in Computing and Information technology (ACITY 2012), held in Chennai, India, during July 13-15, 2012, covered a number of topics in all major fields of Computer Science and Information Technology including: networking and communications, network security and applications, web and internet computing, ubiquitous computing, algorithms, bioinformatics, digital image processing and pattern recognition, artificial intelligence, soft computing and applications. Upon a strength review process, a number of high-quality, presenting not only innovative ideas but also a founded evaluation and a strong argumentation of the same, were selected and collected in the present proceedings, that is composed of three different volumes.
