Image Fusion

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  • Author : Gang Xiao
  • Publisher : Springer Nature
  • Pages : 404 pages
  • ISBN : 9811548676
  • Rating : /5 from reviews
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Download or Read online Image Fusion full in PDF, ePub and kindle. this book written by Gang Xiao and published by Springer Nature which was released on 31 August 2020 with total page 404 pages. We cannot guarantee that Image Fusion book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. This book systematically discusses the basic concepts, theories, research and latest trends in image fusion. It focuses on three image fusion categories – pixel, feature and decision – presenting various applications, such as medical imaging, remote sensing, night vision, robotics and autonomous vehicles. Further, it introduces readers to a new category: edge-preserving-based image fusion, and provides an overview of image fusion based on machine learning and deep learning. As such, it is a valuable resource for graduate students and scientists in the field of digital image processing and information fusion.

Image Fusion

Image Fusion
  • Author : Gang Xiao,Durga Prasad Bavirisetti,Gang Liu,Xingchen Zhang
  • Publisher : Springer Nature
  • Release : 31 August 2020
GET THIS BOOK Image Fusion

This book systematically discusses the basic concepts, theories, research and latest trends in image fusion. It focuses on three image fusion categories – pixel, feature and decision – presenting various applications, such as medical imaging, remote sensing, night vision, robotics and autonomous vehicles. Further, it introduces readers to a new category: edge-preserving-based image fusion, and provides an overview of image fusion based on machine learning and deep learning. As such, it is a valuable resource for graduate students and scientists in the

New Advances in Image Fusion

New Advances in Image Fusion
  • Author : Qiguang Miao
  • Publisher : BoD – Books on Demand
  • Release : 20 November 2013
GET THIS BOOK New Advances in Image Fusion

Image Fusion is an important branch of information fusion, and it is also an important technology for image understanding and computer vision. The fusion process is to merging different images into one to get more accurate description for the scene. The original images for image fusion are always obtained by several different image sensors, or the same sensor in different operating modes. The fused image can provide more effective information for further image processing, such as image segmentation, object detection

Remote Sensing Image Fusion

Remote Sensing Image Fusion
  • Author : Christine Pohl,John van Genderen
  • Publisher : CRC Press
  • Release : 03 October 2016
GET THIS BOOK Remote Sensing Image Fusion

Remote Sensing Image Fusion: A Practical Guide gives an introduction to remote sensing image fusion providing an overview on the sensors and applications. It describes data selection, application requirements and the choice of a suitable image fusion technique. It comprises a diverse selection of successful image fusion cases that are relevant to other users and other areas of interest around the world.?The book helps newcomers to obtain a quick start into the practical value and benefits of multi-sensor image

Image Fusion and Its Applications

Image Fusion and Its Applications
  • Author : Yufeng Zheng
  • Publisher : BoD – Books on Demand
  • Release : 24 June 2011
GET THIS BOOK Image Fusion and Its Applications

The purpose of this book is to provide an overview of basic image fusion techniques and serve as an introduction to image fusion applications in variant fields. It is anticipated that it will be useful for research scientists to capture recent developments and to spark new ideas within the image fusion domain. With an emphasis on both the basic and advanced applications of image fusion, this 12-chapter book covers a number of unique concepts that have been graphically represented throughout

Multi Sensor Image Fusion and Its Applications

Multi Sensor Image Fusion and Its Applications
  • Author : Rick S. Blum,Zheng Liu
  • Publisher : CRC Press
  • Release : 03 October 2018
GET THIS BOOK Multi Sensor Image Fusion and Its Applications

Taking another lesson from nature, the latest advances in image processing technology seek to combine image data from several diverse types 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 Applications is the first text dedicated to the theory and practice of the registration and fusion of image data, covering such approaches as statistical methods, color-related techniques, model-based methods, and

Remote Sensing Image Fusion

Remote Sensing Image Fusion
  • Author : Luciano Alparone,Bruno Aiazzi,Stefano Baronti,Andrea Garzelli
  • Publisher : CRC Press
  • Release : 06 March 2015
GET THIS BOOK Remote Sensing Image Fusion

A synthesis of more than ten years of experience, Remote Sensing Image Fusion covers methods specifically designed for remote sensing imagery. The authors supply a comprehensive classification system and rigorous mathematical description of advanced and state-of-the-art methods for pansharpening of multispectral images, fusion of hyperspectral and

Image Fusion in Remote Sensing

Image Fusion in Remote Sensing
  • Author : Arian Azarang,Nasser Kehtarnavaz
  • Publisher : Morgan & Claypool Publishers
  • Release : 24 February 2021
GET THIS BOOK Image Fusion in Remote Sensing

Image fusion in remote sensing or pansharpening involves fusing spatial (panchromatic) and spectral (multispectral) images that are captured by different sensors on satellites. This book addresses image fusion approaches for remote sensing applications. Both conventional and deep learning approaches are covered. First, the conventional approaches to image fusion in remote sensing are discussed. These approaches include component substitution, multi-resolution, and model-based algorithms. Then, the recently developed deep learning approaches involving single-objective and multi-objective loss functions are discussed. Experimental results are

Multi resolution Image Fusion in Remote Sensing

Multi resolution Image Fusion in Remote Sensing
  • Author : Manjunath V. Joshi,Kishor P. Upla
  • Publisher : Cambridge University Press
  • Release : 24 January 2019
GET THIS BOOK Multi resolution Image Fusion in Remote Sensing

Written in an easy-to-follow approach, the text will help the readers to understand the techniques and applications of image fusion for remotely sensed multi-spectral images. It covers important multi-resolution fusion concepts along with the state-of-the-art methods including super resolution and multi stage guided filters. It includes in depth analysis on degradation estimation, Gabor Prior and Markov Random Field (MRF) Prior. Concepts such as guided filter and difference of Gaussian are discussed comprehensively. Novel techniques in multi-resolution fusion by making use

Satellite image fusion using Dezert Smarandache theory

Satellite image fusion using Dezert Smarandache theory
  • Author : Abdenour Bouakache,Aichouche Belhadj-Aissa, Gregoire Mercier
  • Publisher : Infinite Study
  • Release : 18 May 2022
GET THIS BOOK Satellite image fusion using Dezert Smarandache theory

Free and hybrid models of multisource satellite images fusion are developed using the plausible and paradoxical reasoning theory of Dezert-Smarandache. The aim of this work is to show the contribution of these fusion models for improving the thematic classification and the quantification of change.

Information Fusion in Signal and Image Processing

Information Fusion in Signal and Image Processing
  • Author : Isabelle Bloch
  • Publisher : John Wiley & Sons
  • Release : 01 March 2013
GET THIS BOOK Information Fusion in Signal and Image Processing

The area of information fusion has grown considerably during the last few years, leading to a rapid and impressive evolution. In such fast-moving times, it is important to take stock of the changes that have occurred. As such, this books offers an overview of the general principles and specificities of information fusion in signal and image processing, as well as covering the main numerical methods (probabilistic approaches, fuzzy sets and possibility theory and belief functions).

Computer Vision and Image Processing

Computer Vision and Image Processing
  • Author : Manas Kamal Bhuyan
  • Publisher : CRC Press
  • Release : 05 November 2019
GET THIS BOOK Computer Vision and Image Processing

The book familiarizes readers with fundamental concepts and issues related to computer vision and major approaches that address them. The focus of the book is on image acquisition and image formation models, radiometric models of image formation, image formation in the camera, image processing concepts, concept of feature extraction and feature selection for pattern classification/recognition, and advanced concepts like object classification, object tracking, image-based rendering, and image registration. Intended to be a companion to a typical teaching course on

Deep Learning for Image Processing Applications

Deep Learning for Image Processing Applications
  • Author : D.J. Hemanth,V. Vieira Estrela
  • Publisher : IOS Press
  • Release : 01 December 2017
GET THIS BOOK Deep Learning for Image Processing Applications

Deep learning and image processing are two areas of great interest to academics and industry professionals alike. The areas of application of these two disciplines range widely, encompassing fields such as medicine, robotics, and security and surveillance. The aim of this book, ‘Deep Learning for Image Processing Applications’, is to offer concepts from these two areas in the same platform, and the book brings together the shared ideas of professionals from academia and research about problems and solutions relating to

Computer Vision and Image Processing in Intelligent Systems and Multimedia Technologies

Computer Vision and Image Processing in Intelligent Systems and Multimedia Technologies
  • Author : Sarfraz, Muhammad
  • Publisher : IGI Global
  • Release : 30 April 2014
GET THIS BOOK Computer Vision and Image Processing in Intelligent Systems and Multimedia Technologies

The fields of computer vision and image processing are constantly evolving as new research and applications in these areas emerge. Staying abreast of the most up-to-date developments in this field is necessary in order to promote further research and apply these developments in real-world settings. Computer Vision and Image Processing in Intelligent Systems and Multimedia Technologies features timely and informative research on the design and development of computer vision and image processing applications in intelligent agents as well as in