Space Object Identification Using Spatio-temporal Pattern Recognition

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ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (339 download)

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Book Synopsis Space Object Identification Using Spatio-temporal Pattern Recognition by : Gary W. Brandstorm

Download or read book Space Object Identification Using Spatio-temporal Pattern Recognition written by Gary W. Brandstorm and published by . This book was released on 1995 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Space Object Identification Using Spatio-temporal Pattern Recognition

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Publisher :
ISBN 13 :
Total Pages : 172 pages
Book Rating : 4.:/5 (339 download)

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Book Synopsis Space Object Identification Using Spatio-temporal Pattern Recognition by : Gary W. Brandstorm

Download or read book Space Object Identification Using Spatio-temporal Pattern Recognition written by Gary W. Brandstorm and published by . This book was released on 1995 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Space-Object Identification Using Spatial Pattern Recognition

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Publisher :
ISBN 13 :
Total Pages : 323 pages
Book Rating : 4.:/5 (965 download)

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Book Synopsis Space-Object Identification Using Spatial Pattern Recognition by : Paul E. Silversmith

Download or read book Space-Object Identification Using Spatial Pattern Recognition written by Paul E. Silversmith and published by . This book was released on 2014 with total page 323 pages. Available in PDF, EPUB and Kindle. Book excerpt: The traditional method of determining spacecraft attitude with a star tracker is by comparing the angle measurements between stars within a certain field-of-view (FOV) with that of angle measurements in a catalog. This technique is known as the angle method. A new approach, the planar triangle method (PTM), uses the properties of planar triangles to compare stars in a FOV with stars in a catalog. Specifically, the area and polar moment of planar triangle combinations are the comparison parameters used in the method. The PTM has been shown to provide a more consistent success rate than that of the traditional angle method. The work herein presents a technique of data association through the use of the planar triangle method. Instead of comparing the properties of stars with that of a catalog, a comparison is made between the properties of resident space objects (RSOs) and a catalog comprised of Fengyun 1C debris data and simulated data. It is shown that the planar triangle method is effective in RSO identification and is robust to the presence of measurement and sensor error.

Space Object Identification Using Feature Space Trajectory Neural Networks

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ISBN 13 : 9781423568162
Total Pages : 81 pages
Book Rating : 4.5/5 (681 download)

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Book Synopsis Space Object Identification Using Feature Space Trajectory Neural Networks by : Neal W. Bruegger

Download or read book Space Object Identification Using Feature Space Trajectory Neural Networks written by Neal W. Bruegger and published by . This book was released on 1997-03-01 with total page 81 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Feature Space Trajectory Neural Network (FSTNN) is a simple yet powerful pattern recognition tool developed by Neiberg and Casasent for use in an Automatic Target Recognition System. Since the FSTNN was developed, it has been used on various problems including speaker identification and space object identification. However, in these types of problems, the test set represents time series data rather than an independent set of points. Since the distance metric of the standard FSTNN treats each test point independently without regard to its position in the sequence, the FSTNN can yield less than optimal results in these problems. Two methods for incorporating sequence information into the FSTNN algorithm are presented. These methods, Dynamic Time Warping (DTW) and Uniform Time Warping (UTW), are described and compared to the standard FSTNN performance on the space object identification problem. Both reduce error induced by improper synchronization of the test and training sequences and make the FSTNN more generally applicable to a wide variety of pattern recognition problems. They incorporate sequencing information by synchronizing the test and training trajectories. DTW accomplishes this 'on-the-fly' as the sequence progresses while UTW uniformly compensates for temporal differences across the trajectories. These algorithms improve the maximum probability of false alarm (PFA) of the standard FSTNN by an average of 10.18% and 27.69%, respectively, although UTW is less consistent in its results. A metric for determining the saliency of the features in an FSTNN is also presented and demonstrated.

Spatio-Temporal Pattern Recognition Using Hidden Markov Models

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ISBN 13 :
Total Pages : 134 pages
Book Rating : 4.:/5 (227 download)

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Book Synopsis Spatio-Temporal Pattern Recognition Using Hidden Markov Models by :

Download or read book Spatio-Temporal Pattern Recognition Using Hidden Markov Models written by and published by . This book was released on 1994 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt: A new spatio-temporal method for identifying 3D objects found in 2D image sequences is presented. The Hidden Markov Model technique is used as a spatio-temporal classification algorithm to identify 3D objects by the temporal changes in observed shape features. A new information theoretic argument is developed that proves identifying objects based on image sequences can lead to higher classification accuracies than single look methods. A new distance measure is proposed that analyzes the performance of Hidden Markov Models in a multi-class pattern recognition problem. A three class problem identifying moving light display objects provides experimental verification of the sequence processing argument. Individual frames of a MLD image sequence contain very little spatial information. The single look classification rate for the moving light display imagery was observed to be near 50%. In contrast, the Hidden Markov Model classification rate was above 93 %. The alternate nearest neighbor multiple frame technique classification rate was 20% below the Hidden Markov Models. A one sided t-test revealed a highly statistically significant difference between the Hidden Markov Model and multiple frame technique at a 0. 01 level of significance. A five class problem consisting of tactical military ground vehicles is considered to provide verification using imagery with both spatial and temporal information. Results confirmed the new spatio-temporal pattern recognition method produces superior results by accessing the temporal information in the image sequences. A prototype automatic target recognition system is demonstrated. Hidden Markov model, Pattern recognition, Motion analysis, Signal processing.

Pattern Recognition

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Publisher : Springer Nature
ISBN 13 : 3031167880
Total Pages : 607 pages
Book Rating : 4.0/5 (311 download)

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Book Synopsis Pattern Recognition by : Björn Andres

Download or read book Pattern Recognition written by Björn Andres and published by Springer Nature. This book was released on 2022-09-22 with total page 607 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 44th DAGM German Conference on Pattern Recognition, DAGM GCPR 2022, which was held during September 27 – 30, 2022. The 37 papers presented in this volume were carefully reviewed and selected from 78 submissions. They were organized in topical sections as follows: ​machine learning methods; unsupervised, semi-supervised and transfer learning; interpretable machine learning; low-level vision and computational photography; motion, pose estimation and tracking; 3D vision and stereo; detection and recognition; language and vision; scene understanding; photogrammetry and remote sensing; pattern recognition in the life and natural sciences; systems and applications.

Space Object Identification by Filtered Fourier Transform Pattern Recognition Algorithm

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ISBN 13 :
Total Pages : 184 pages
Book Rating : 4.:/5 (132 download)

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Book Synopsis Space Object Identification by Filtered Fourier Transform Pattern Recognition Algorithm by : William L. Malinski (MAJ, USAF.)

Download or read book Space Object Identification by Filtered Fourier Transform Pattern Recognition Algorithm written by William L. Malinski (MAJ, USAF.) and published by . This book was released on 1973 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Pattern Recognition Technologies and Applications: Recent Advances

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Publisher : IGI Global
ISBN 13 : 1599048094
Total Pages : 454 pages
Book Rating : 4.5/5 (99 download)

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Book Synopsis Pattern Recognition Technologies and Applications: Recent Advances by : Verma, Brijesh

Download or read book Pattern Recognition Technologies and Applications: Recent Advances written by Verma, Brijesh and published by IGI Global. This book was released on 2008-06-30 with total page 454 pages. Available in PDF, EPUB and Kindle. Book excerpt: The nature of handwriting in our society has significantly altered over the ages due to the introduction of new technologies such as computers and the World Wide Web. With increases in the amount of signature verification needs, state of the art internet and paper-based automated recognition methods are necessary. Pattern Recognition Technologies and Applications: Recent Advances provides cutting-edge pattern recognition techniques and applications. Written by world-renowned experts in their field, this easy to understand book is a must have for those seeking explanation in topics such as on- and offline handwriting and speech recognition, signature verification, and gender classification.

International Aerospace Abstracts

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ISBN 13 :
Total Pages : 1048 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis International Aerospace Abstracts by :

Download or read book International Aerospace Abstracts written by and published by . This book was released on 1999 with total page 1048 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Proceedings of the 16th International Conference on Hybrid Intelligent Systems (HIS 2016)

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Publisher : Springer
ISBN 13 : 3319529412
Total Pages : 620 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Proceedings of the 16th International Conference on Hybrid Intelligent Systems (HIS 2016) by : Ajith Abraham

Download or read book Proceedings of the 16th International Conference on Hybrid Intelligent Systems (HIS 2016) written by Ajith Abraham and published by Springer. This book was released on 2017-02-21 with total page 620 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the latest research in hybrid intelligent systems. It includes 57 carefully selected papers from the 16th International Conference on Hybrid Intelligent Systems (HIS 2016) and the 8th World Congress on Nature and Biologically Inspired Computing (NaBIC 2016), held on November 21–23, 2016 in Marrakech, Morocco. HIS - NaBIC 2016 was jointly organized by the Machine Intelligence Research Labs (MIR Labs), USA; Hassan 1st University, Settat, Morocco and University of Sfax, Tunisia. Hybridization of intelligent systems is a promising research field in modern artificial/computational intelligence and is concerned with the development of the next generation of intelligent systems. The conference’s main aim is to inspire further exploration of the intriguing potential of hybrid intelligent systems and bio-inspired computing. As such, the book is a valuable resource for practicing engineers /scientists and researchers working in the field of computational intelligence and artificial intelligence.

Pattern Recognition and Image Analysis

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Publisher : Springer
ISBN 13 : 3319588389
Total Pages : 550 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Pattern Recognition and Image Analysis by : Luís A. Alexandre

Download or read book Pattern Recognition and Image Analysis written by Luís A. Alexandre and published by Springer. This book was released on 2017-06-08 with total page 550 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 8th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2017, held in Faro, Portugal, in June 2017. The 60 regular papers presented in this volume were carefully reviewed and selected from 86 submissions. They are organized in topical sections named: Pattern Recognition and Machine Learning; Computer Vision; Image and Signal Processing; Medical Image; and Applications.

Visual Indexing and Retrieval

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Publisher : Springer Science & Business Media
ISBN 13 : 1461435889
Total Pages : 113 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis Visual Indexing and Retrieval by : Jenny Benois-Pineau

Download or read book Visual Indexing and Retrieval written by Jenny Benois-Pineau and published by Springer Science & Business Media. This book was released on 2012-04-05 with total page 113 pages. Available in PDF, EPUB and Kindle. Book excerpt: The research in content-based indexing and retrieval of visual information such as images and video has become one of the most populated directions in the vast area of information technologies. Social networks such as YouTube, Facebook, FileMobile, and DailyMotion host and supply facilities for accessing a tremendous amount of professional and user generated data. The areas of societal activity, such as, video protection and security, also generate thousands and thousands of terabytes of visual content. This book presents the most recent results and important trends in visual information indexing and retrieval. It is intended for young researchers, as well as, professionals looking for an algorithmic solution to a problem.

Computer Vision -- ACCV 2009

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Publisher : Springer
ISBN 13 : 3642123074
Total Pages : 418 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Computer Vision -- ACCV 2009 by : Hongbin Zha

Download or read book Computer Vision -- ACCV 2009 written by Hongbin Zha and published by Springer. This book was released on 2010-05-09 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: It gives us greatpleasureto presentthe proceedings of the 9th Asian Conference on Computer Vision (ACCV 2009), held in Xi’an, China, in September 2009. This was the ?rst ACCV conference to take place in mainland China. We received a total of 670 full submissions, which is a new record in the ACCV series. Overall, 35 papers were selected for oral presentation and 131 as posters, yielding acceptance rates of 5.2% for oral, 19.6% for poster, and 24.8% in total. In the paper reviewing, we continued the tradition of previous ACCVsbyconductingthe processinadouble-blindmanner.Eachofthe33Area Chairs received a pool of about 20 papers and nominated a number of potential reviewers for each paper. Then, Program Committee Chairs allocated at least three reviewers to each paper, taking into consideration any con?icts of interest and the balance of loads. Once the reviews were ?nished, the Area Chairs made summaryreportsforthepapersintheirpools,basedonthereviewers’comments and on their own assessments of the papers.

Biologically Rationalized Computing Techniques For Image Processing Applications

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Publisher : Springer
ISBN 13 : 3319613162
Total Pages : 341 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Biologically Rationalized Computing Techniques For Image Processing Applications by : Jude Hemanth

Download or read book Biologically Rationalized Computing Techniques For Image Processing Applications written by Jude Hemanth and published by Springer. This book was released on 2017-08-15 with total page 341 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces readers to innovative bio-inspired computing techniques for image processing applications. It demonstrates how a significant drawback of image processing – not providing the simultaneous benefits of high accuracy and less complexity – can be overcome, proposing bio-inspired methodologies to help do so. Besides computing techniques, the book also sheds light on the various application areas related to image processing, and weighs the pros and cons of specific methodologies. Even though several such methodologies are available, most of them do not provide the simultaneous benefits of high accuracy and less complexity, which explains their low usage in connection with practical imaging applications, such as the medical scenario. Lastly, the book illustrates the methodologies in detail, making it suitable for newcomers to the field and advanced researchers alike.

Scientific and Technical Aerospace Reports

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ISBN 13 :
Total Pages : 704 pages
Book Rating : 4.:/5 (31 download)

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Book Synopsis Scientific and Technical Aerospace Reports by :

Download or read book Scientific and Technical Aerospace Reports written by and published by . This book was released on 1995 with total page 704 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Image Pattern Recognition

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Publisher : CRC Press
ISBN 13 : 1000460959
Total Pages : 203 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Image Pattern Recognition by : L Koteswara Rao

Download or read book Image Pattern Recognition written by L Koteswara Rao and published by CRC Press. This book was released on 2022-02-06 with total page 203 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes various types of image patterns for image retrieval. All these patterns are texture dependent. Few image patterns such as Improved directional local extrema patterns, Local Quantized Extrema Patterns, Local Color Oppugnant Quantized Extrema Patterns and Local Mesh quantized extrema patterns are presented. Inter-relationships among the pixels of an image are used for feature extraction. In contrast to the existing patterns these patterns focus on local neighborhood of pixels to creates the feature vector. Evaluation metrics such as precision and recall are calculated after testing with standard databases i.e., Corel-1k, Corel-5k and MIT VisTex database. This book serves as a practical guide for students and researchers. -The text introduces two models of Directional local extrema patterns viz., Integration of color and directional local extrema patterns Integration of Gabor features and directional local extrema patterns. -Provides a framework to extract the features using quantization method -Discusses the local quantized extrema collected from two oppugnant color planes -Illustrates the mesh structure with the pixels at alternate positions.

Reproducible Research in Pattern Recognition

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Publisher : Springer Nature
ISBN 13 : 3030764230
Total Pages : 173 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Reproducible Research in Pattern Recognition by : Bertrand Kerautret

Download or read book Reproducible Research in Pattern Recognition written by Bertrand Kerautret and published by Springer Nature. This book was released on 2021-05-13 with total page 173 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-workshop proceedings of the Third International Workshop on Reproducible Research in Pattern Recognition, RRPR 2021, held as a virtual event, in January 2021. The 8 revised full papers, presented together with 6 short papers, were carefully reviewed and selected from 18 submissions. The papers were organized into three main categories. The first contributions focused on reproducible research frameworks. The second category focused on reproducible research results and the last category included ICPR companion papers describing implementation and details that are an absolute requirement for reproducibility.