Download or read book Automatic Target Recognition Wavelet Transforms and Stereo Matching written by and published by . This book was released on 2001 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Stereo Imaging is very important in the analysis of aerial imagery. The proposed project considers the problem of stereo matching using wavelet transforms. In our method, the wavelet transformation of a signal using a wavelet basis with nth vanishing moment is regarded as nth edge of the signal after some smoothing operation. We then analyze the physical meaning of each channel of the sub-images decomposed by a wavelet. Eased on the analysis, we proposed a hierarchical algorithm that combines both feature-based and pixel-based methods together, to compute the disparity of the binocular stereo image. We have tested the proposed algorithm on a large number of natural and synthetic scenes. Our method is effective on stereo image pairs with large disparities that is a case, which is very important for applications as structure from stereo. We also proposed a general wavelet-based hierarchical matching scheme which involves a dynamic detection of interesting points as feature points at different levels of sub-band images via wavelet transform, and adaptive threshold selection based on compactness measures, a guided searching strategy for the best matching from coarse-to-fine levels. Also, some other problems are investigated including the extraction of 3D lines from range images, and dynamic shape retrieval by curve matching and active contour models, and applications of fuzzy logic to project selection. The project falls under the Nebraska DEPSCOR Research Priority Area of Information and Communications Science and Technology awarded by the Ballistic Missile Development Agency (BMDO) and it is administered through the AFOSR.

Download or read book A New Approach to Automatic Target Recognition Using Wavelet Transforms written by Anitha Panapakkam and published by . This book was released on 1994 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Automatic Target Recognition Using Wavelet Transforms and Hidden Markov Model for High Range Resolution Profiles written by Radhika Prakash and published by . This book was released on 2001 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Automatic Target Recognition written by and published by . This book was released on 2007 with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Physics of Automatic Target Recognition written by Firooz Sadjadi and published by Springer Science & Business Media. This book was released on 2007-09-04 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book examines the roles of sensors, physics–based attributes, classification methods, and performance evaluation in automatic target recognition. It details target classification from small mine–like objects to large tactical vehicles. Also explored in the book are invariants of sensor and transmission transformations, which are crucial in the development of low latency and computationally manageable automatic target recognition systems.

Download or read book Automatic Object Recognition written by and published by . This book was released on 1995 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Automatic Target Detection And Recognition A Wavelet Based Approach written by and published by . This book was released on 1997 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Wavelet based target detection and identification algorithms for radar applications are presented and tested and evaluated on computer simulated data. The algorithms make use of a scale sequential and/or scale recursive paradigm where computations are performed within and across scales in a multiresolution analysis (MRA) of the sensor data relative to a compactly supported discrete orthonormal wavelet basis. It is argued that such procedures are computationally efficient and offer promise of yielding near optimal performance with a minimum CPU time burden. Specific applications considered in the report include automatic target identification from high range resolution radar (HRR), target detection in the presence of fractal noise and the integration of multisensor data in the tracking of aircraft. Other applications addressed include scale recursive optimal filtering and the synthesis of parallel architectures for the 1-D discrete wavelet transform. The report includes a full discussion of the theory behind the various detection and identification algorithms plus results from Monte Carlo simulations.

Download or read book Automatic Target Recognition written by Fouad Sabry and published by One Billion Knowledgeable. This book was released on 2024-05-04 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: What is Automatic Target Recognition The capacity of an algorithm or device to recognize targets or other objects based on data acquired from sensors is referred to as automatic target recognition, an abbreviation for these capabilities. How you will benefit (I) Insights, and validations about the following topics: Chapter 1: Automatic Target Recognition Chapter 2: Computer Vision Chapter 3: Radar Chapter 4: Doppler Radar Chapter 5: Synthetic-aperture Radar Chapter 6: Imaging Radar Chapter 7: Beamforming Chapter 8: Pulse-Doppler Radar Chapter 9: Passive Radar Chapter 10: Inverse Synthetic-aperture Radar (II) Answering the public top questions about automatic target recognition. (III) Real world examples for the usage of automatic target recognition in many fields. Who this book is for Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Automatic Target Recognition.

Download or read book Automated Optical Target Recognition written by Samuel P. Kozaitis and published by . This book was released on 1995 with total page 31 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Automatic Target Recognition XIII written by Firooz A. Sadjadi and published by SPIE-International Society for Optical Engineering. This book was released on 2003 with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Automatic Target Recognition written by Fouad Sabry and published by One Billion Knowledgeable. This book was released on 2023-07-04 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: What Is Automatic Target Recognition The capacity of an algorithm or device to detect targets or other objects based on data acquired from sensors is referred to as automatic target recognition, abbreviated as ATR. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Automatic target recognition Chapter 2: Computer vision Chapter 3: Radar Chapter 4: Synthetic-aperture radar Chapter 5: Beamforming Chapter 6: Pulse-Doppler radar Chapter 7: Inverse synthetic-aperture radar Chapter 8: Radar signal characteristics Chapter 9: Time delay neural network Chapter 10: Track algorithm (II) Answering the public top questions about automatic target recognition. (III) Real world examples for the usage of automatic target recognition in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of automatic target recognition' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of automatic target recognition.

Download or read book Automatic Target Recognition in Hyperspectral Images Using Wavelet Decomposition and Neural Ldentifier written by 蘇鴻昇 and published by . This book was released on 2001 with total page 78 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Automatic Target Recognition Using Wavelet Based Vector Quantization written by and published by . This book was released on 1997 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: An automatic target recognition classifier is described that uses a set of dedicated vector quantizers (VQs) in the wavelet domain. The background pixels in each input image are properly clipped out by a set of aspect windows. The extracted target area for each aspect window is then enlarged to a fixed size, after which a wavelet decomposition is used to split this region into several subbands. A dedicated VQ codebook is then generated for each subband of a particular target class at a specific range of aspects. Thus, each codebook consists of a set of feature templates that are iteratively adapted to represent a particular subband of a given target class at a specific range of aspects. These templates are then further trained by a modified learning vector quantization (LVQ) algorithm that enhances their discriminatory characteristics. Finally, a path selector was designed to speed up the recognition process at the expense of a tolerable degradation in the recognition rate.

Download or read book Science Abstracts written by and published by . This book was released on 1995 with total page 1360 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Wavelet Based Signal and Image Processing for Target Recognition written by and published by . This book was released on 2002 with total page 5 pages. Available in PDF, EPUB and Kindle. Book excerpt: For the initial year of the project new wavelet based signal and image processing algorithms were developed, specifically directed towards usefulness in target recognition applications. Classical spatial and frequency domain image processing algorithms were generalized to process discrete wavelet transform (DWT) data. Results include adaptation of classical filtering, smoothing and interpolation techniques to DWT. From 2003 the research direction changed, in keeping with changes in the direction of ONR's Probability and Statistics Program. A sabbatical leave was devoted to broadening the P.I.'s expertise in aspects of Pattern Recognition. Research was also done on-site at the Naval Surface Warfare Center, Dahlgren, Virginia, where collaborations were formed with NSWC scientists. These resulted, inter alia, in the development of a new tracking algorithm for laser guided weapons. While at NSWC, the P.I. presented tutorial courses and seminars to NSWC scientists. The grant supported 4 graduate students who performed software development and theoretical derivations. During the grant period, 8 peer-reviewed papers were published.

Download or read book Automatic Target Recognition written by Bruce Jay Schachter and published by . This book was released on 2018 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This third edition of Automatic Target Recognition provides a roadmap for breakthrough ATR designs with increased intelligence, performance, and autonomy. Clear distinctions are made between military problems and comparable commercial Deep Learning problems. These considerations need to be understood by ATR engineers working in the defense industry as well as by their government customers. A reference design is provided for a next-generation ATR that can continuously learn from and adapt to its environment. The convergence of diverse forms of data on a single platform supports new capabilities and improved performance. This third edition broadens the notion of ATR to multisensor fusion. Radical continuous-learning ATR architectures, better integration of data sources, well-packaged sensors, and low-power teraflop chips will enable transformative military designs"--

Download or read book Application of Wavelets to Automatic Target Recognition written by and published by . This book was released on 1995 with total page 96 pages. Available in PDF, EPUB and Kindle. Book excerpt: 'Application of Wavelets to Automatic Target Recognition, ' is the second phase of multiphase project to insert compactly supported wavelets into an existing or near-term Department of Defense system such as the Longbow fire control radar for the Apache Attack Helicopter. In this contract, we have concentrated mainly on the classifier function. During the first phase of the program ('Application of Wavelets to Radar Data Processing'), the feasibility of using wavelets to process high range resolution profile (HRRP) amplitude returns from a wide bandwidth radar system was demonstrated. This phase obtained fully polarized wide bandwidth radar HRRP amplitude returns and processed, them with wavelet and wavelet packet or (best basis) transforms. Then, by mathematically defined nonlinear feature selection, we showed that significant improvements in the probability of correct classification are possible, up to 14 percentage points maximum (4 percentage points average) improvement when compared to the current classifier performance. In addition, We addressed the feasibility of using wavelet packets' best basis to address target registration, man made object rejection, clutter discriminations, and sythetic aperture radar scene speckle removal and object registration.