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Multi-Sensor Image Fusion and Its Applications

of sensors in order to obtain a more accurate view of the scene: very much the same as we rely on our five senses. Multi-Sensor Image Fusion and Its;

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Image Understanding

, pattern and relation matching. It further discusses principles and applications of multi-sensor fusion and content-based retrieval. Rich;

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Multi-Sensor Data Fusion With MATLAB

Using MATLAB (R) examples wherever possible, Multi-Sensor Data Fusion with MATLAB explores the three levels of multi-sensor data fusion;

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Image Fusion

previous work on multi-sensor data [1] fusion by concentrating exclusively on the theories, techniques and app- cations of image fusion. The book;

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Remote Sensing Image Fusion

newcomers to obtain a quick start into the practical value and benefits of multi-sensor image fusion. Experts will find this book useful to obtain;

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Data Fusion Mathematics

-tracking methods, and kinematic DF methods Presents single and multi-sensor tracking and fusion mathematics Considers specific DF architectures;

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Data Fusion Mathematics

-tracking methods, and kinematic DF methods Presents single and multi-sensor tracking and fusion mathematics Considers specific DF architectures;

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Multi-sensor System Applications in the Everglades Ecosystem

This book explores the applicability of multiple remote sensors to acquire information relevant to restoration and conservation efforts;

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Multi-sensor System Applications in the Everglades Ecosystem

improvement, as well as chapters that explore a fusion of multiple sensors for different datasets. Features Introduces concepts, theories, and;

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Multi-resolution Image Fusion in Remote Sensing

. Concepts such as guided filter and difference of Gaussian are discussed comprehensively. Novel techniques in multi-resolution fusion by making use;

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Image Fusion

The growth in the use of sensor technology has led to the demand for image fusion: signal processing techniques that can combine;

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Image Fusion in Remote Sensing

captured by different sensors on satellites. This book addresses image fusion approaches for remote sensing applications. Both conventional and;

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Multi-Sensor Information Fusion

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Distributed Sensor Networks

excellence and accessibility of its predecessor, Distributed Sensor Networks, Second Edition once again provides all the fundamentals and;

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Sensor Systems

This book covers sensors and multiple sensor systems, including sensor networks and multi-sensor data fusion. It presents the physics and;

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Advances in Multi-Sensor Information Fusion

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Networked Filtering and Fusion in Wireless Sensor Networks

predictions and inferences about a monitored entity. Networked Filtering and Fusion in Wireless Sensor Networks introduces the subject of multi-sensor;

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Networked Filtering and Fusion in Wireless Sensor Networks

predictions and inferences about a monitored entity. Networked Filtering and Fusion in Wireless Sensor Networks introduces the subject of multi-sensor;

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Video Surveillance For Sensor Platforms

This book introduces resource aware image decomposition, registration, fusion, object detection and tracking algorithms along with their;

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Hyperspectral Image Analysis: Advances in Machine Learning and Signal Processing

, sensor fusion and super-resolution for robust multispectral and hyperspectral image understanding. It presents research from leading;

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Hyperspectral Image Analysis

, sensor fusion and super-resolution for robust multispectral and hyperspectral image understanding. It presents research from leading;

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Multisensor Fusion for Computer Vision

architectures for multi sensor fusion, and applications of multisensor fusion. The participants met in the beautiful surroundings of Mont Belledonne;

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Image Fusion

of parameters for a given fusion algorithm. This book discusses principles, different technologies and applications of image fusion.;

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Design and Implementation of Real Time Multi Sensor Vision Systems

This book discusses the design of multi-camera systems and their application to fields such as the virtual reality, gaming, film industry;

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Multimodal Scene Understanding

>Presents novel deep learning topics on multi-sensor fusion and multi-modal deep learning;

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Image Fusion Techniques for Remote Sensed Data

of sensors. In order to improve the dependability for extracting information, and enhance the efficiency of the data. The image fusion results in a;

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Machine Learning in Medical Imaging

and diagnosis, multi-modality fusion, image reconstruction, image retrieval, cellular image analysis, molecular imaging, digital pathology;

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