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Pro Python 3: Features and Tools for Professional Development
Pro Python 3: Features and Tools for Professional Development

Refine your programming techniques and approaches to become a more productive and creative Python programmer. This book explores the concepts and features that will improve not only your code but also your understanding of the Python community with insights and details about the Python philosophy.

Pro Python 3,...

Genetic and Evolutionary Computation for Image Processing and Analysis (EURASIP Book Series on Signal Processing and Communications)
Genetic and Evolutionary Computation for Image Processing and Analysis (EURASIP Book Series on Signal Processing and Communications)
Image analysis and processing is steadily gaining relevance within the large number of application fields to which genetic and evolutionary computation (GEC) techniques are applied. Although more and more examples of such applications can be found in literature, they are scattered, apart from a few exceptions, in proceedings and journals dedicated...
Hyperspectral Imaging: Techniques for Spectral Detection and Classification
Hyperspectral Imaging: Techniques for Spectral Detection and Classification

Hyperspectral Imaging: Techniques for Spectral Detection and Classification is an outgrowth of the research conducted over the years in the Remote Sensing Signal and Image Processing Laboratory (RSSIPL) at the University of Maryland, Baltimore County. It explores applications of statistical signal processing to hyperspectral...

Remote Sensing: The Image Chain Approach
Remote Sensing: The Image Chain Approach
Remote Sensing deals with the fundamental ideas underlying the rapidly growing field of remote sensing. John Schott explores energy-matter interaction, radiation propagation, data dissemination, and described the tools and procedures required to extract information from remotely sensed data using the image chain approach. Organizations and...
Multi-Sensor Image Fusion and Its Applications (Signal Processing and Communica)
Multi-Sensor Image Fusion and Its Applications (Signal Processing and Communica)
Imaging sensors are an important resource in today’s world. Further, a single sensor cannot provide a complete view of the environment in many applications. Just as humans use all five senses to great advantage, computers use image fusion algorithms to gain similar advantages. The resulting fused image, if suitably obtained from a set of...
Polarimetric Radar Imaging: From Basics to Applications (Optical Science and Engineering)
Polarimetric Radar Imaging: From Basics to Applications (Optical Science and Engineering)
… This very concise book covering basics to applications will serve as a fundamental hands-on book for years to come. … we congratulate the authors for their diligence, oversight, and sincere dedication for assembling such a well-organized and long overdue book on the basics and applications of polarimetric radar imaging. …...
Hyperspectral Data Processing: Algorithm Design and Analysis
Hyperspectral Data Processing: Algorithm Design and Analysis

Hyperspectral Data Processing: Algorithm Design and Analysis is a culmination of the research conducted in the Remote Sensing Signal and Image Processing Laboratory (RSSIPL) at the University of Maryland, Baltimore County. Specifically, it treats hyperspectral image processing and hyperspectral signal processing as separate subjects in...

Maxillofacial Imaging
Maxillofacial Imaging

Maxillofacial imaging has evolved dramatically over the past two decades with development of new cross-sectional imaging techniques. Traditional maxillofacial imaging was based on plain films and dental imaging. However, today’s advanced imaging techniques with CT and MRI have only been partially implemented for maxillofacial questions....

Modern Operating Systems (3rd Edition) (GOAL Series)
Modern Operating Systems (3rd Edition) (GOAL Series)

A presentation of the basics of both distributed and single-processor computer systems, this book reflects real-world experience that provides practical, hands- on information in constructing and understanding modern operating systems. This book discusses the key principles of both kinds of systems — including MS- DOS, UNIX, Amoeba, and...

Bayesian Brain: Probabilistic Approaches to Neural Coding (Computational Neuroscience)
Bayesian Brain: Probabilistic Approaches to Neural Coding (Computational Neuroscience)

A Bayesian approach can contribute to an understanding of the brain on multiple levels, by giving normative predictions about how an ideal sensory system should combine prior knowledge and observation, by providing mechanistic interpretation of the dynamic functioning of the brain circuit, and by suggesting optimal ways of deciphering...

Augmented Vision Perception in Infrared: Algorithms and Applied Systems (Advances in Pattern Recognition)
Augmented Vision Perception in Infrared: Algorithms and Applied Systems (Advances in Pattern Recognition)
Spurred by security and safety challenges, research efforts in thermographic sensors have advanced greatly, resulting in better performance in remote surveillance, object recognition, guidance and so on.

 

This comprehensive survey provides a thorough account of the recent deployment of infrared sensors in modern applications of...

Hybrid Imaging and Visualization: Employing Machine Learning with Mathematica - Python
Hybrid Imaging and Visualization: Employing Machine Learning with Mathematica - Python
The book introduces the latest methods and algorithms developed in machine and deep learning (hybrid symbolic-numeric computations, robust statistical techniques for clustering and eliminating data as well as convolutional neural networks) dealing not only with images and the use of computers, but also their applications to visualization tasks...
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